國立中央大學教師履歷平台

教師個人簡歷 »

中文姓名

陳春樹

英文姓名

Chen Chun-Shu

電子郵件

cschen1207@ncu.edu.tw

Variable selection Data perturbation Information criterion Generalized degrees of freedom Spatial prediction Mean squared prediction error model selection Smoothing spline Stein's unbiased risk estimate generalized estimating equations geostatistics 空間統計統計學習模型選擇環境統計 Spatial statistics Stabilization Non-separability of space and time parameter estimation Random effects Restricted spatial regression Zero-inflated generalized Poisson Hierarchical bayesian model Akaike information criterion Bayesian information criterion Conditional autoregressive model Metropolis-hastings algorithm Dengue effective degrees of freedom Integer-valued GARCH Kullback-Leibler loss Markov chain monte carlo Markov chain Monte Carlo method maximum likelihood estimate Anisotropy

現職	國立中央大學理學院統計研究所教授國立中央大學理學院所長
專長	空間統計模型選擇環境統計統計學習
專長簡述	空間統計、模型選擇、環境統計、統計學習
最高學歷	國立中央大學統計學系博士
相關連結	個人網頁 Research Gate GRB資訊系統

科技部學門領域	M - 自然科學 M01 - 統計 M0102 - 統計方法
政府GRB研究專長領域
教育部學門領域	4 - 科學 46 - 數學及統計學門 4602 - 統計學類

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(1/3)
1130801~1140731
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

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

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 ]

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(1/3) 1130801~1140731

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

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

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 ]

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(1/3)
1130801~1140731

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]

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 ]

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 ]