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陳春樹

Chen Chun-Shu

cschen1207@ncu.edu.tw

國科會計畫統計

大型空間零膨脹計數和半連續資料的半母數研究：建模、估計、選模與應用
1150801~1160731
大型空間零膨脹計數和半連續資料的半母數研究：建模、估計、選模與應用
1140801~1150731
氣候變遷與極端事件的統計創新研究-跨域助攻-氣候變遷與極端事件的統計創新研究(2/3)
1140801~1150731
氣候變遷與極端事件的統計創新研究-跨域助攻-氣候變遷與極端事件的統計創新研究(1/3)
1130801~1140731
[聚類分析,預警系統,系集模擬,極值分析,太空天氣,時空分析,天氣型態 , clustering analysis,early warning system,ensemble simulations,extreme value analysis,space weather,spatiotemporal analysis,weather pattern]
大型空間零膨脹計數和半連續資料的半母數研究：建模、估計、選模與應用
1130801~1140731
空間模型與時空模型於醫學影像分析的研究
1120801~1130930
[固定秩克利金、高維度共變異矩陣、醫學影像、樣條函數、模型選取 , Fixed rank kriging, high-dimensional covariance matrix, medical image, thin-plate splines, model selection]
空間模型與時空模型於醫學影像分析的研究
1110801~1120731
[固定秩克利金、高維度共變異矩陣、醫學影像、樣條函數、模型選取 , Fixed rank kriging, high-dimensional covariance matrix, medical image, thin-plate splines, model selection]
空間型態資料伴隨空間混淆效應之半母數研究
1100801~1110731
[固定秩克利金,高維度共變異矩陣,均方誤差,空間混淆效應,樣條函數 , Fixed rank kriging,high-dimensional covariance matrix,mean squared error,spatial confounding effects,thin-plate splines]
空間型態資料伴隨空間混淆效應之半母數研究
1090801~1100731
[固定秩克利金,高維度共變異矩陣,均方誤差,空間混淆效應,樣條函數 , Fixed rank kriging,high-dimensional covariance matrix,mean squared error,spatial confounding effects,thin-plate splines]
空間型態資料伴隨空間混淆效應之半母數研究
1080801~1090731
[固定秩克利金,高維度共變異矩陣,均方誤差,空間混淆效應,樣條函數 , Fixed rank kriging,high-dimensional covariance matrix,mean squared error,spatial confounding effects,thin-plate splines]

期刊著作

A Spatial Hierarchical PGEV Model With Temporal Effects for Enhancing Extreme Value Analysis
Environmetrics, 36, 6, 2025-09-01
[ block maximum series data,climate data analysis,generalized extreme value distribution,Laplace approximation,latent spatial Gaussian process ]
A frequentist approach on fixed effects estimation for spatially confounded regression models
Environmental and Ecological Statistics, 32, 2, 523-555, 2025-06-01
[ Basis function,Bias reduction,Fixed rank kriging,Mean squared error,Restricted spatial regression ]
Estimation and selection for spatial zero-inflated count models
Environmetrics, 35, 4, 2024-06-01
[ data perturbation,generalized estimating equations,parameter estimation,variable selection,ZIP model ]
Spatial-temporal hurdle model vs. spatial zero-inflated GARCH model: analysis of weekly dengue fever cases
Stochastic Environmental Research and Risk Assessment, 38, 6, 2119-2134, 2024-06-01
[ Dengue,Integer-valued GARCH,Markov chain Monte Carlo method,Meteorology variables,Non-separability of space and time,Zero-inflated generalized Poisson ]
A zero-inflated model for spatiotemporal count data with extra zeros: application to 1950–2015 tornado data in Kansas
Environmental and Ecological Statistics, 31, 1, 1-25, 2024-03-01
[ Gibbs sampling,Hierarchical Bayesian models,Spatial conditional autoregressive,Tornado data,Zero inflation ]
Bayesian modeling of spatial integer-valued time series
Computational Statistics and Data Analysis, 188, 2023-12-01
[ Dengue,Euclidean distance,Integer-valued GARCH,Markov chain Monte Carlo method,Non-separability of space and time,Zero-inflated generalized Poisson ]
B-Spline Modeling of Inertial Measurements for Evaluating Stroke Rehabilitation Effectiveness
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 4008-4016, 2023-01-01
[ B-spline,inertial measurement unit (IMU),linear mixed model,rehabilitation,virtual reality (VR) ]
Estimation and selection for spatial confounding regression models
Communications in Statistics - Theory and Methods, 52, 3, 939-955, 2023-01-01
[ Conditional information criterion,mean squared prediction error,restricted spatial regression,spatial prediction,variable selection ]
On summary ROC curve for dichotomous diagnostic studies: an application to meta-analysis of COVID-19
Journal of Applied Statistics, 50, 6, 1418-1434, 2023-01-01
[ meta analysis,random effects,sensitivity,specificity,Summary ROC curve,systematic review ]
Distribution-free model selection for longitudinal zero-inflated count data with missing responses and covariates
Statistics in Medicine, 41, 16, 3180-3198, 2022-07-20
[ generalized estimating equations,missing at random,two-component mixture models,variable selection,zero-inflation ]
Distribution-free regression model selection with a nested spatial correlation structure
Spatial Statistics, 41, 2021-03-01
[ Anisotropy,Generalized method of moments,Information criterion,PM2.5,Variable selection ]
On spline-based approaches to spatial linear regression for geostatistical data
Environmental and Ecological Statistics, 27, 2, 175-202, 2020-06-01
[ Linear mixed-effects models,Precision agriculture,Semiparametric methods,Spatial confounding,Spatial statistics ]
An adjusted parameter estimation for spatial regression with spatial confounding
Stochastic Environmental Research and Risk Assessment, 33, 8-9, 1535-1551, 2019-09-01
[ Bias,Generalized least squares,Maximum likelihood estimate,Random effects,Restricted spatial regression ]
Model selection based on resampling approaches for cluster longitudinal data with missingness in outcomes
Statistics in Medicine, 37, 20, 2982-2997, 2018-09-10
[ bootstrap,data perturbation,generalized estimating equations,variable selection,weighted quadratic loss ]
Some characteristics on the selection of spline smoothing parameter
Communications in Statistics - Theory and Methods, 47, 6, 1307-1317, 2018-03-19
[ Non parametric regression,selection variability,smoothing spline,Stein’s unbiased risk estimate ]
A composite spatial predictor via local criteria under a misspecified model
Stochastic Environmental Research and Risk Assessment, 32, 2, 341-355, 2018-02-01
[ Geostatistics,Information criterion,Prediction variance,Resampling,Squared prediction error ]
A generalized measure of uncertainty in geostatistical model selection
Statistica Sinica, 28, 1, 203-228, 2018-01-01
[ Data perturbation,Generalized degrees of freedom,Geostatistics,Information criterion,Model complexity,Spatial prediction ]
Adaptive-Cox model averaging for right-censored data
Communications in Statistics - Theory and Methods, 46, 19, 9364-9376, 2017-10-02
[ data perturbation,information criterion,Kullback–Leibler loss,stabilization,variable selection ]
On estimation and prediction of geostatistical regression models via a corrected Stein's unbiased risk estimator
Environmetrics, 28, 1, 2017-02-01
[ geostatistics,Matérn covariogram,parameter estimation,smoothing parameter,spatial prediction ]
Estimating the Probability of Rare Events Occurring Using a Local Model Averaging
Risk Analysis, 36, 10, 1855-1870, 2016-10-01
[ Kullback-Leibler loss,logistic regression,maximum likelihood estimate,uncertainty ]
Two-stage signal restoration based on a modified median filter
Journal of Statistical Computation and Simulation, 86, 1, 122-134, 2016-01-01
[ covariance penalty,effective degrees of freedom,Gaussian mixtures,generalized Stein'sunbiased risk estimator,smoothing splines ]
A stabilized and versatile spatial prediction method for geostatistical models
Environmetrics, 25, 2, 127-141, 2014-01-01
[ Data perturbation,Estimation uncertainty,Mean squared prediction error,Model averaging,Stein's unbiased risk estimate ]
Adaptive order selection for autoregressive models
Journal of Statistical Computation and Simulation, 84, 9, 1963-1974, 2014-01-01
[ Akaike information criterion,Bayesian information criterion,generalized degrees of freedom,mean squared prediction error,model selection,time series data ]
Spatial risk assessment of typhoon cumulated rainfall: A case study in Taipei area
Stochastic Environmental Research and Risk Assessment, 26, 4, 509-517, 2012-05-01
[ Conditional autoregressive model,Cumulated rainfall,Hierarchical Bayesian model,Markov chain Monte Carlo,Metropolis-Hastings algorithm,Spatial risk assessment ]
Autoregressive model selection based on a prediction perspective
Journal of Applied Statistics, 39, 4, 913-922, 2012-04-01
[ Akaike information criterion,Bayesian information criterion,generalized degrees of freedom,mean-squared prediction error,time series ]
Geostatistical model averaging based on conditional information criteria
Environmental and Ecological Statistics, 19, 1, 23-35, 2012-03-01
[ Conditional Akaike information criterion,Data perturbation,Spatial prediction,Stabilization,Stein's unbiased risk estimate,Variable selection ]
A jackknife-based versatile test for two-sample problems with right-censored data
Journal of Applied Statistics, 39, 2, 267-277, 2012-02-01
[ data driven,linear combination test,right-censored data,weighted Kaplan-Meier test,weighted logrank test ]
A joint modeling approach for spatial earthquake risk variations
Journal of Applied Statistics, 38, 8, 1733-1741, 2011-08-01
[ Conditional autoregressive model,Hierarchical bayesian model,Markov chain monte carlo,Metropolis-hastings algorithm ]
Model selection for two-sample problems with right-censored data: An application of Cox model
Journal of Statistical Planning and Inference, 141, 6, 2120-2127, 2011-06-01
[ Confidence interval,Data perturbation,Generalized degrees of freedom,Information criterion,Kullback-Leibler loss,Median survival time ]
An improved Cp criterion for spline smoothing
Journal of Statistical Planning and Inference, 141, 1, 445-452, 2011-01-01
[ Effective degrees of freedom,Selection effect,Smoothing spline,Stein's unbiased risk estimate ]
Optimal geostatistical model selection
Journal of the American Statistical Association, 102, 479, 1009-1024, 2007-09-01
[ Data perturbation,Generalized degrees of freedom,Kriging,Mean squared prediction error,Noise variance estimation,Smoothing spline,Spatial prediction,Variable selection ]
A statistical investigation of preearthquake ionospheric anomaly
Journal of Geophysical Research: Space Physics, 111, 5, 2006-05-01
Statistical tests for pre-earthquake ionospheric anomaly
Terrestrial, Atmospheric and Oceanic Sciences, 15, 3, 385-396, 2004-01-01
[ Ionospheric precursor,Pre-earthquake anomaly,Statistical test ]

研討會著作

Modeling Extreme Rainfall Events in Taiwan Using a Spatial-Temporal Hierarchical Framework
2025-08-04
[ Block maximum series data,Climate data analysis,Generalized extreme value distribution,Laplace approximation,Latent spatial Gaussian process ]
Efficient Estimation for Large Data in Adaptable Spatial Zero-inflated Models
2025-07-24
[ Akaike's information criterion,Generalized estimating equations,Parameter estimation,Thin-plate splines,Zero-inflation ]
Modeling Extreme Rainfall Events in Taiwan Using a Spatial-Temporal Hierarchical Framework
2025-06-07
[ Block maximum series data,Climate data analysis,Generalized extreme value distribution,Laplace approximation,Latent spatial Gaussian process ]
Extreme Value Analysis Using Semiparametric Spatial Zero-Inflated Models
2024-12-15
[ Akaike's information criterion,Generalized estimating equations,Parameter estimation,Thin-plate splines,Zero-inflation ]
Extreme Value Analysis Using Semiparametric Spatial Zero-Inflated Models
2024-12-14
[ Akaike's information criterion,Generalized estimating equations,Parameter estimation,Thin-plate splines,Zero-inflation ]
A Spatial Hierarchical Model with Temporal Effects for Analyzing Extreme Rainfall in Taiwan
2024-12-09
[ Block maximum series data,Climate data analysis,Generalized extreme value distribution,Laplace approximation,Latent spatial Gaussian process ]
A Spatial Hierarchical Model with Temporal Effects for Analyzing Extreme Rainfall in Taiwan
2024-12-05
[ Block maximum series data,Climate data analysis,Generalized extreme value distribution,Laplace approximation,Latent spatial Gaussian process ]
Estimation and Selection for Spatial Zero-inflated Count Models
2024-07-17
[ data perturbation,generalized estimating equations,parameter estimation,variable selection,ZIP model ]
ZIP-like models for spatial count processes
2023-08-22
[ data perturbation,generalized estimating equations,parameter estimation,variable selection,ZIP model ]
Estimation and selection for spatial zero-inflated count models
2023-08-06
[ data perturbation,generalized estimating equations,parameter estimation,variable selection,ZIP model ]
A Spatial ZIP-like Model
2023-06-30
[ data perturbation,generalized estimating equations,parameter estimation,variable selection,ZIP model ]
Study on Spatial Zero-inflated Count Models
2022-12-09
[ Data perturbation,Generalized estimating equations,Parameter estimation,Variable selection,Zero-inflation ]
When is the spatial confounding a real problem?
2022-08-10
[ spatial confounding ]
Model selection for spatial count data with anisotropic correlations
2022-07-28
[ Anisotropy,Generalized method of moments,Information criterion,Variable selection ]
Model selection with an anisotropic nested spatial correlation structure
2021-10-31
[ Anisotropy,Generalized method of moments,Information criterion,Variable selection ]
Model selection with an anisotropic nested spatial correlation structure
2021-07-31
[ Anisotropy,Generalized method of moments,Information criterion,Variable selection ]
Model selection with a nested spatial correlation structure
2021-07-20
[ Anisotropy,Generalized method of moments,Information criterion,Variable selection ]
Model selection with a nested spatial correlation structure
2020-08-20
[ Anisotropy,Generalized method of moments,Information criterion,PM2.5,Variable selection ]
Local variable selection criterion based on a prediction perspective
2019-12-07
[ Information criterion,prediction variance,resampling,squared prediction error ]

校外榮譽

114 [中華機率統計學會] 中華機率統計學會貢獻獎
113 [國際統計學會 ( ISI )] 國際統計學會會士
112 [國際統計學會 ( ISI )] 國際統計學會會士
108 [科技部] 優秀年輕學者研究計畫

校內獲獎

115 研究傑出獎
114 研究傑出獎
113 研究傑出獎
112 研究傑出獎
108 新聘卓越獎(舊制)

期刊編輯

113 ~ 116 Environmetrics ISSN 1180-4009 EISSN 1099-095X
副編輯
113 ~ 116 中國統計學報 Journal of the Chinese Statistical Association ISSN 0529-6528
主編(出版委員會召集委員)
110 ~ 113 中國統計學報 Journal of the Chinese Statistical Association ISSN 0529-6528
副召集委員與副編輯委員
108 ~ 110 中國統計學報 Journal of the Chinese Statistical Association ISSN 0529-6528
副編輯委員

陳春樹

Chen Chun-Shu

現職

專長

專長簡述

最高學歷

相關連結

科技部學門領域

政府GRB研究專長領域

教育部學門領域

國科會計畫統計

大型空間零膨脹計數和半連續資料的半母數研究：建模、估計、選模與應用 1150801~1160731

大型空間零膨脹計數和半連續資料的半母數研究：建模、估計、選模與應用 1140801~1150731

氣候變遷與極端事件的統計創新研究-跨域助攻-氣候變遷與極端事件的統計創新研究(2/3) 1140801~1150731

大型空間零膨脹計數和半連續資料的半母數研究：建模、估計、選模與應用 1130801~1140731

空間模型與時空模型於醫學影像分析的研究 1120801~1130930 [固定秩克利金、高維度共變異矩陣、醫學影像、樣條函數、模型選取 , Fixed rank kriging, high-dimensional covariance matrix, medical image, thin-plate splines, model selection]

空間模型與時空模型於醫學影像分析的研究 1110801~1120731 [固定秩克利金、高維度共變異矩陣、醫學影像、樣條函數、模型選取 , Fixed rank kriging, high-dimensional covariance matrix, medical image, thin-plate splines, model selection]

空間型態資料伴隨空間混淆效應之半母數研究 1100801~1110731 [固定秩克利金,高維度共變異矩陣,均方誤差,空間混淆效應,樣條函數 , Fixed rank kriging,high-dimensional covariance matrix,mean squared error,spatial confounding effects,thin-plate splines]

空間型態資料伴隨空間混淆效應之半母數研究 1090801~1100731 [固定秩克利金,高維度共變異矩陣,均方誤差,空間混淆效應,樣條函數 , Fixed rank kriging,high-dimensional covariance matrix,mean squared error,spatial confounding effects,thin-plate splines]

空間型態資料伴隨空間混淆效應之半母數研究 1080801~1090731 [固定秩克利金,高維度共變異矩陣,均方誤差,空間混淆效應,樣條函數 , Fixed rank kriging,high-dimensional covariance matrix,mean squared error,spatial confounding effects,thin-plate splines]

期刊著作

A Spatial Hierarchical PGEV Model With Temporal Effects for Enhancing Extreme Value Analysis Environmetrics, 36, 6, 2025-09-01 [ block maximum series data,climate data analysis,generalized extreme value distribution,Laplace approximation,latent spatial Gaussian process ]

A frequentist approach on fixed effects estimation for spatially confounded regression models Environmental and Ecological Statistics, 32, 2, 523-555, 2025-06-01 [ Basis function,Bias reduction,Fixed rank kriging,Mean squared error,Restricted spatial regression ]

Estimation and selection for spatial zero-inflated count models Environmetrics, 35, 4, 2024-06-01 [ data perturbation,generalized estimating equations,parameter estimation,variable selection,ZIP model ]

A zero-inflated model for spatiotemporal count data with extra zeros: application to 1950–2015 tornado data in Kansas Environmental and Ecological Statistics, 31, 1, 1-25, 2024-03-01 [ Gibbs sampling,Hierarchical Bayesian models,Spatial conditional autoregressive,Tornado data,Zero inflation ]

Bayesian modeling of spatial integer-valued time series Computational Statistics and Data Analysis, 188, 2023-12-01 [ Dengue,Euclidean distance,Integer-valued GARCH,Markov chain Monte Carlo method,Non-separability of space and time,Zero-inflated generalized Poisson ]

B-Spline Modeling of Inertial Measurements for Evaluating Stroke Rehabilitation Effectiveness IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 4008-4016, 2023-01-01 [ B-spline,inertial measurement unit (IMU),linear mixed model,rehabilitation,virtual reality (VR) ]

Estimation and selection for spatial confounding regression models Communications in Statistics - Theory and Methods, 52, 3, 939-955, 2023-01-01 [ Conditional information criterion,mean squared prediction error,restricted spatial regression,spatial prediction,variable selection ]

On summary ROC curve for dichotomous diagnostic studies: an application to meta-analysis of COVID-19 Journal of Applied Statistics, 50, 6, 1418-1434, 2023-01-01 [ meta analysis,random effects,sensitivity,specificity,Summary ROC curve,systematic review ]

Distribution-free model selection for longitudinal zero-inflated count data with missing responses and covariates Statistics in Medicine, 41, 16, 3180-3198, 2022-07-20 [ generalized estimating equations,missing at random,two-component mixture models,variable selection,zero-inflation ]

Distribution-free regression model selection with a nested spatial correlation structure Spatial Statistics, 41, 2021-03-01 [ Anisotropy,Generalized method of moments,Information criterion,PM2.5,Variable selection ]

On spline-based approaches to spatial linear regression for geostatistical data Environmental and Ecological Statistics, 27, 2, 175-202, 2020-06-01 [ Linear mixed-effects models,Precision agriculture,Semiparametric methods,Spatial confounding,Spatial statistics ]

An adjusted parameter estimation for spatial regression with spatial confounding Stochastic Environmental Research and Risk Assessment, 33, 8-9, 1535-1551, 2019-09-01 [ Bias,Generalized least squares,Maximum likelihood estimate,Random effects,Restricted spatial regression ]

Model selection based on resampling approaches for cluster longitudinal data with missingness in outcomes Statistics in Medicine, 37, 20, 2982-2997, 2018-09-10 [ bootstrap,data perturbation,generalized estimating equations,variable selection,weighted quadratic loss ]

Some characteristics on the selection of spline smoothing parameter Communications in Statistics - Theory and Methods, 47, 6, 1307-1317, 2018-03-19 [ Non parametric regression,selection variability,smoothing spline,Stein’s unbiased risk estimate ]

A composite spatial predictor via local criteria under a misspecified model Stochastic Environmental Research and Risk Assessment, 32, 2, 341-355, 2018-02-01 [ Geostatistics,Information criterion,Prediction variance,Resampling,Squared prediction error ]

A generalized measure of uncertainty in geostatistical model selection Statistica Sinica, 28, 1, 203-228, 2018-01-01 [ Data perturbation,Generalized degrees of freedom,Geostatistics,Information criterion,Model complexity,Spatial prediction ]

Adaptive-Cox model averaging for right-censored data Communications in Statistics - Theory and Methods, 46, 19, 9364-9376, 2017-10-02 [ data perturbation,information criterion,Kullback–Leibler loss,stabilization,variable selection ]

On estimation and prediction of geostatistical regression models via a corrected Stein's unbiased risk estimator Environmetrics, 28, 1, 2017-02-01 [ geostatistics,Matérn covariogram,parameter estimation,smoothing parameter,spatial prediction ]

Estimating the Probability of Rare Events Occurring Using a Local Model Averaging Risk Analysis, 36, 10, 1855-1870, 2016-10-01 [ Kullback-Leibler loss,logistic regression,maximum likelihood estimate,uncertainty ]

Two-stage signal restoration based on a modified median filter Journal of Statistical Computation and Simulation, 86, 1, 122-134, 2016-01-01 [ covariance penalty,effective degrees of freedom,Gaussian mixtures,generalized Stein'sunbiased risk estimator,smoothing splines ]

A stabilized and versatile spatial prediction method for geostatistical models Environmetrics, 25, 2, 127-141, 2014-01-01 [ Data perturbation,Estimation uncertainty,Mean squared prediction error,Model averaging,Stein's unbiased risk estimate ]

Adaptive order selection for autoregressive models Journal of Statistical Computation and Simulation, 84, 9, 1963-1974, 2014-01-01 [ Akaike information criterion,Bayesian information criterion,generalized degrees of freedom,mean squared prediction error,model selection,time series data ]

Autoregressive model selection based on a prediction perspective Journal of Applied Statistics, 39, 4, 913-922, 2012-04-01 [ Akaike information criterion,Bayesian information criterion,generalized degrees of freedom,mean-squared prediction error,time series ]

Geostatistical model averaging based on conditional information criteria Environmental and Ecological Statistics, 19, 1, 23-35, 2012-03-01 [ Conditional Akaike information criterion,Data perturbation,Spatial prediction,Stabilization,Stein's unbiased risk estimate,Variable selection ]

A jackknife-based versatile test for two-sample problems with right-censored data Journal of Applied Statistics, 39, 2, 267-277, 2012-02-01 [ data driven,linear combination test,right-censored data,weighted Kaplan-Meier test,weighted logrank test ]

A joint modeling approach for spatial earthquake risk variations Journal of Applied Statistics, 38, 8, 1733-1741, 2011-08-01 [ Conditional autoregressive model,Hierarchical bayesian model,Markov chain monte carlo,Metropolis-hastings algorithm ]

An improved Cp criterion for spline smoothing Journal of Statistical Planning and Inference, 141, 1, 445-452, 2011-01-01 [ Effective degrees of freedom,Selection effect,Smoothing spline,Stein's unbiased risk estimate ]

Optimal geostatistical model selection Journal of the American Statistical Association, 102, 479, 1009-1024, 2007-09-01 [ Data perturbation,Generalized degrees of freedom,Kriging,Mean squared prediction error,Noise variance estimation,Smoothing spline,Spatial prediction,Variable selection ]

A statistical investigation of preearthquake ionospheric anomaly Journal of Geophysical Research: Space Physics, 111, 5, 2006-05-01

Statistical tests for pre-earthquake ionospheric anomaly Terrestrial, Atmospheric and Oceanic Sciences, 15, 3, 385-396, 2004-01-01 [ Ionospheric precursor,Pre-earthquake anomaly,Statistical test ]

研討會著作

Modeling Extreme Rainfall Events in Taiwan Using a Spatial-Temporal Hierarchical Framework 2025-08-04 [ Block maximum series data,Climate data analysis,Generalized extreme value distribution,Laplace approximation,Latent spatial Gaussian process ]

Efficient Estimation for Large Data in Adaptable Spatial Zero-inflated Models 2025-07-24 [ Akaike's information criterion,Generalized estimating equations,Parameter estimation,Thin-plate splines,Zero-inflation ]

Modeling Extreme Rainfall Events in Taiwan Using a Spatial-Temporal Hierarchical Framework 2025-06-07 [ Block maximum series data,Climate data analysis,Generalized extreme value distribution,Laplace approximation,Latent spatial Gaussian process ]

Extreme Value Analysis Using Semiparametric Spatial Zero-Inflated Models 2024-12-15 [ Akaike's information criterion,Generalized estimating equations,Parameter estimation,Thin-plate splines,Zero-inflation ]

Extreme Value Analysis Using Semiparametric Spatial Zero-Inflated Models 2024-12-14 [ Akaike's information criterion,Generalized estimating equations,Parameter estimation,Thin-plate splines,Zero-inflation ]

A Spatial Hierarchical Model with Temporal Effects for Analyzing Extreme Rainfall in Taiwan 2024-12-09 [ Block maximum series data,Climate data analysis,Generalized extreme value distribution,Laplace approximation,Latent spatial Gaussian process ]

A Spatial Hierarchical Model with Temporal Effects for Analyzing Extreme Rainfall in Taiwan 2024-12-05 [ Block maximum series data,Climate data analysis,Generalized extreme value distribution,Laplace approximation,Latent spatial Gaussian process ]

Estimation and Selection for Spatial Zero-inflated Count Models 2024-07-17 [ data perturbation,generalized estimating equations,parameter estimation,variable selection,ZIP model ]

ZIP-like models for spatial count processes 2023-08-22 [ data perturbation,generalized estimating equations,parameter estimation,variable selection,ZIP model ]

Estimation and selection for spatial zero-inflated count models 2023-08-06 [ data perturbation,generalized estimating equations,parameter estimation,variable selection,ZIP model ]

A Spatial ZIP-like Model 2023-06-30 [ data perturbation,generalized estimating equations,parameter estimation,variable selection,ZIP model ]

Study on Spatial Zero-inflated Count Models 2022-12-09 [ Data perturbation,Generalized estimating equations,Parameter estimation,Variable selection,Zero-inflation ]

When is the spatial confounding a real problem? 2022-08-10 [ spatial confounding ]

Model selection for spatial count data with anisotropic correlations 2022-07-28 [ Anisotropy,Generalized method of moments,Information criterion,Variable selection ]

Model selection with an anisotropic nested spatial correlation structure 2021-10-31 [ Anisotropy,Generalized method of moments,Information criterion,Variable selection ]

Model selection with an anisotropic nested spatial correlation structure 2021-07-31 [ Anisotropy,Generalized method of moments,Information criterion,Variable selection ]

Model selection with a nested spatial correlation structure 2021-07-20 [ Anisotropy,Generalized method of moments,Information criterion,Variable selection ]

Model selection with a nested spatial correlation structure 2020-08-20 [ Anisotropy,Generalized method of moments,Information criterion,PM2.5,Variable selection ]

Local variable selection criterion based on a prediction perspective 2019-12-07 [ Information criterion,prediction variance,resampling,squared prediction error ]

校外榮譽

校內獲獎

期刊編輯

大型空間零膨脹計數和半連續資料的半母數研究：建模、估計、選模與應用
1150801~1160731

大型空間零膨脹計數和半連續資料的半母數研究：建模、估計、選模與應用
1140801~1150731

氣候變遷與極端事件的統計創新研究-跨域助攻-氣候變遷與極端事件的統計創新研究(2/3)
1140801~1150731

大型空間零膨脹計數和半連續資料的半母數研究：建模、估計、選模與應用
1130801~1140731

空間模型與時空模型於醫學影像分析的研究
1120801~1130930
[固定秩克利金、高維度共變異矩陣、醫學影像、樣條函數、模型選取 , Fixed rank kriging, high-dimensional covariance matrix, medical image, thin-plate splines, model selection]

空間模型與時空模型於醫學影像分析的研究
1110801~1120731
[固定秩克利金、高維度共變異矩陣、醫學影像、樣條函數、模型選取 , Fixed rank kriging, high-dimensional covariance matrix, medical image, thin-plate splines, model selection]

空間型態資料伴隨空間混淆效應之半母數研究
1100801~1110731
[固定秩克利金,高維度共變異矩陣,均方誤差,空間混淆效應,樣條函數 , Fixed rank kriging,high-dimensional covariance matrix,mean squared error,spatial confounding effects,thin-plate splines]

空間型態資料伴隨空間混淆效應之半母數研究
1090801~1100731
[固定秩克利金,高維度共變異矩陣,均方誤差,空間混淆效應,樣條函數 , Fixed rank kriging,high-dimensional covariance matrix,mean squared error,spatial confounding effects,thin-plate splines]

空間型態資料伴隨空間混淆效應之半母數研究
1080801~1090731
[固定秩克利金,高維度共變異矩陣,均方誤差,空間混淆效應,樣條函數 , Fixed rank kriging,high-dimensional covariance matrix,mean squared error,spatial confounding effects,thin-plate splines]

A Spatial Hierarchical PGEV Model With Temporal Effects for Enhancing Extreme Value Analysis
Environmetrics, 36, 6, 2025-09-01
[ block maximum series data,climate data analysis,generalized extreme value distribution,Laplace approximation,latent spatial Gaussian process ]

A frequentist approach on fixed effects estimation for spatially confounded regression models
Environmental and Ecological Statistics, 32, 2, 523-555, 2025-06-01
[ Basis function,Bias reduction,Fixed rank kriging,Mean squared error,Restricted spatial regression ]

Estimation and selection for spatial zero-inflated count models
Environmetrics, 35, 4, 2024-06-01
[ data perturbation,generalized estimating equations,parameter estimation,variable selection,ZIP model ]

A zero-inflated model for spatiotemporal count data with extra zeros: application to 1950–2015 tornado data in Kansas
Environmental and Ecological Statistics, 31, 1, 1-25, 2024-03-01
[ Gibbs sampling,Hierarchical Bayesian models,Spatial conditional autoregressive,Tornado data,Zero inflation ]

Bayesian modeling of spatial integer-valued time series
Computational Statistics and Data Analysis, 188, 2023-12-01
[ Dengue,Euclidean distance,Integer-valued GARCH,Markov chain Monte Carlo method,Non-separability of space and time,Zero-inflated generalized Poisson ]

B-Spline Modeling of Inertial Measurements for Evaluating Stroke Rehabilitation Effectiveness
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 4008-4016, 2023-01-01
[ B-spline,inertial measurement unit (IMU),linear mixed model,rehabilitation,virtual reality (VR) ]

Estimation and selection for spatial confounding regression models
Communications in Statistics - Theory and Methods, 52, 3, 939-955, 2023-01-01
[ Conditional information criterion,mean squared prediction error,restricted spatial regression,spatial prediction,variable selection ]

On summary ROC curve for dichotomous diagnostic studies: an application to meta-analysis of COVID-19
Journal of Applied Statistics, 50, 6, 1418-1434, 2023-01-01
[ meta analysis,random effects,sensitivity,specificity,Summary ROC curve,systematic review ]

Distribution-free model selection for longitudinal zero-inflated count data with missing responses and covariates
Statistics in Medicine, 41, 16, 3180-3198, 2022-07-20
[ generalized estimating equations,missing at random,two-component mixture models,variable selection,zero-inflation ]

Distribution-free regression model selection with a nested spatial correlation structure
Spatial Statistics, 41, 2021-03-01
[ Anisotropy,Generalized method of moments,Information criterion,PM2.5,Variable selection ]

On spline-based approaches to spatial linear regression for geostatistical data
Environmental and Ecological Statistics, 27, 2, 175-202, 2020-06-01
[ Linear mixed-effects models,Precision agriculture,Semiparametric methods,Spatial confounding,Spatial statistics ]

An adjusted parameter estimation for spatial regression with spatial confounding
Stochastic Environmental Research and Risk Assessment, 33, 8-9, 1535-1551, 2019-09-01
[ Bias,Generalized least squares,Maximum likelihood estimate,Random effects,Restricted spatial regression ]

Model selection based on resampling approaches for cluster longitudinal data with missingness in outcomes
Statistics in Medicine, 37, 20, 2982-2997, 2018-09-10
[ bootstrap,data perturbation,generalized estimating equations,variable selection,weighted quadratic loss ]

Some characteristics on the selection of spline smoothing parameter
Communications in Statistics - Theory and Methods, 47, 6, 1307-1317, 2018-03-19
[ Non parametric regression,selection variability,smoothing spline,Stein’s unbiased risk estimate ]

A composite spatial predictor via local criteria under a misspecified model
Stochastic Environmental Research and Risk Assessment, 32, 2, 341-355, 2018-02-01
[ Geostatistics,Information criterion,Prediction variance,Resampling,Squared prediction error ]

A generalized measure of uncertainty in geostatistical model selection
Statistica Sinica, 28, 1, 203-228, 2018-01-01
[ Data perturbation,Generalized degrees of freedom,Geostatistics,Information criterion,Model complexity,Spatial prediction ]

Adaptive-Cox model averaging for right-censored data
Communications in Statistics - Theory and Methods, 46, 19, 9364-9376, 2017-10-02
[ data perturbation,information criterion,Kullback–Leibler loss,stabilization,variable selection ]

On estimation and prediction of geostatistical regression models via a corrected Stein's unbiased risk estimator
Environmetrics, 28, 1, 2017-02-01
[ geostatistics,Matérn covariogram,parameter estimation,smoothing parameter,spatial prediction ]

Estimating the Probability of Rare Events Occurring Using a Local Model Averaging
Risk Analysis, 36, 10, 1855-1870, 2016-10-01
[ Kullback-Leibler loss,logistic regression,maximum likelihood estimate,uncertainty ]

Two-stage signal restoration based on a modified median filter
Journal of Statistical Computation and Simulation, 86, 1, 122-134, 2016-01-01
[ covariance penalty,effective degrees of freedom,Gaussian mixtures,generalized Stein'sunbiased risk estimator,smoothing splines ]

A stabilized and versatile spatial prediction method for geostatistical models
Environmetrics, 25, 2, 127-141, 2014-01-01
[ Data perturbation,Estimation uncertainty,Mean squared prediction error,Model averaging,Stein's unbiased risk estimate ]

Adaptive order selection for autoregressive models
Journal of Statistical Computation and Simulation, 84, 9, 1963-1974, 2014-01-01
[ Akaike information criterion,Bayesian information criterion,generalized degrees of freedom,mean squared prediction error,model selection,time series data ]

Autoregressive model selection based on a prediction perspective
Journal of Applied Statistics, 39, 4, 913-922, 2012-04-01
[ Akaike information criterion,Bayesian information criterion,generalized degrees of freedom,mean-squared prediction error,time series ]

Geostatistical model averaging based on conditional information criteria
Environmental and Ecological Statistics, 19, 1, 23-35, 2012-03-01
[ Conditional Akaike information criterion,Data perturbation,Spatial prediction,Stabilization,Stein's unbiased risk estimate,Variable selection ]

A jackknife-based versatile test for two-sample problems with right-censored data
Journal of Applied Statistics, 39, 2, 267-277, 2012-02-01
[ data driven,linear combination test,right-censored data,weighted Kaplan-Meier test,weighted logrank test ]

A joint modeling approach for spatial earthquake risk variations
Journal of Applied Statistics, 38, 8, 1733-1741, 2011-08-01
[ Conditional autoregressive model,Hierarchical bayesian model,Markov chain monte carlo,Metropolis-hastings algorithm ]

An improved Cp criterion for spline smoothing
Journal of Statistical Planning and Inference, 141, 1, 445-452, 2011-01-01
[ Effective degrees of freedom,Selection effect,Smoothing spline,Stein's unbiased risk estimate ]

Optimal geostatistical model selection
Journal of the American Statistical Association, 102, 479, 1009-1024, 2007-09-01
[ Data perturbation,Generalized degrees of freedom,Kriging,Mean squared prediction error,Noise variance estimation,Smoothing spline,Spatial prediction,Variable selection ]

A statistical investigation of preearthquake ionospheric anomaly
Journal of Geophysical Research: Space Physics, 111, 5, 2006-05-01

Statistical tests for pre-earthquake ionospheric anomaly
Terrestrial, Atmospheric and Oceanic Sciences, 15, 3, 385-396, 2004-01-01
[ Ionospheric precursor,Pre-earthquake anomaly,Statistical test ]

Modeling Extreme Rainfall Events in Taiwan Using a Spatial-Temporal Hierarchical Framework
2025-08-04
[ Block maximum series data,Climate data analysis,Generalized extreme value distribution,Laplace approximation,Latent spatial Gaussian process ]

Efficient Estimation for Large Data in Adaptable Spatial Zero-inflated Models
2025-07-24
[ Akaike's information criterion,Generalized estimating equations,Parameter estimation,Thin-plate splines,Zero-inflation ]

Modeling Extreme Rainfall Events in Taiwan Using a Spatial-Temporal Hierarchical Framework
2025-06-07
[ Block maximum series data,Climate data analysis,Generalized extreme value distribution,Laplace approximation,Latent spatial Gaussian process ]

Extreme Value Analysis Using Semiparametric Spatial Zero-Inflated Models
2024-12-15
[ Akaike's information criterion,Generalized estimating equations,Parameter estimation,Thin-plate splines,Zero-inflation ]

Extreme Value Analysis Using Semiparametric Spatial Zero-Inflated Models
2024-12-14
[ Akaike's information criterion,Generalized estimating equations,Parameter estimation,Thin-plate splines,Zero-inflation ]

A Spatial Hierarchical Model with Temporal Effects for Analyzing Extreme Rainfall in Taiwan
2024-12-09
[ Block maximum series data,Climate data analysis,Generalized extreme value distribution,Laplace approximation,Latent spatial Gaussian process ]

A Spatial Hierarchical Model with Temporal Effects for Analyzing Extreme Rainfall in Taiwan
2024-12-05
[ Block maximum series data,Climate data analysis,Generalized extreme value distribution,Laplace approximation,Latent spatial Gaussian process ]

Estimation and Selection for Spatial Zero-inflated Count Models
2024-07-17
[ data perturbation,generalized estimating equations,parameter estimation,variable selection,ZIP model ]

ZIP-like models for spatial count processes
2023-08-22
[ data perturbation,generalized estimating equations,parameter estimation,variable selection,ZIP model ]

Estimation and selection for spatial zero-inflated count models
2023-08-06
[ data perturbation,generalized estimating equations,parameter estimation,variable selection,ZIP model ]

A Spatial ZIP-like Model
2023-06-30
[ data perturbation,generalized estimating equations,parameter estimation,variable selection,ZIP model ]

Study on Spatial Zero-inflated Count Models
2022-12-09
[ Data perturbation,Generalized estimating equations,Parameter estimation,Variable selection,Zero-inflation ]

When is the spatial confounding a real problem?
2022-08-10
[ spatial confounding ]

Model selection for spatial count data with anisotropic correlations
2022-07-28
[ Anisotropy,Generalized method of moments,Information criterion,Variable selection ]

Model selection with an anisotropic nested spatial correlation structure
2021-10-31
[ Anisotropy,Generalized method of moments,Information criterion,Variable selection ]

Model selection with an anisotropic nested spatial correlation structure
2021-07-31
[ Anisotropy,Generalized method of moments,Information criterion,Variable selection ]

Model selection with a nested spatial correlation structure
2021-07-20
[ Anisotropy,Generalized method of moments,Information criterion,Variable selection ]

Model selection with a nested spatial correlation structure
2020-08-20
[ Anisotropy,Generalized method of moments,Information criterion,PM2.5,Variable selection ]

Local variable selection criterion based on a prediction perspective
2019-12-07
[ Information criterion,prediction variance,resampling,squared prediction error ]