A Geometric Algorithm for Contrastive Principal Component Analysis in High Dimension
Journal of Computational and Graphical Statistics,
33,
3,
909-916,
2024-01-01
[
Cayley retraction mapping,Contrastive PCA,Curvilinear-search,High dimension,Principal component analysis,Projected gradient,Stiefel manifold
]
UNCERTAINTY QUANTIFICATION IN DYNAMIC IMAGE RECONSTRUCTION WITH APPLICATIONS TO CRYO-EM
Statistica Sinica,
33,
1771-1788,
2023-05-01
[
Change-points,cryogenic electron microscopy,empirical Bayes,hidden Markov models,Markov chain Monte Carlo,particle filters,stem cells,uncertainty quantification
]
Perturbation theory for cross data matrix-based PCA
Journal of Multivariate Analysis,
190,
2022-07-01
QUANTIFICATION OF MODEL BIAS UNDERLYING THE PHENOMENON OF “EINSTEIN FROM NOISE”
Statistica Sinica,
31,
2355-2379,
2021-01-01
[
Cross correlation,cryogenic electron microscopy,extreme value distribution,high dimensional data analysis,model bias,white-noise image
]
Concordance-based estimation approaches for the optimal sufficient dimension reduction score
Scandinavian Journal of Statistics,
47,
3,
662-689,
2020-09-01
[
central subspace,concordance probability function,concordance-based generalized BIC,optimal sufficient dimension reduction (SDR) score,structural degree,structural dimension
]
On asymptotic normality of cross data matrix-based PCA in high dimension low sample size
Journal of Multivariate Analysis,
175,
2020-01-01
[
Asymptotic normality,Cross data matrix,High dimension low sample size,Principal component analysis,Spiked covariance model
]
Maximum partial-rank correlation estimation for left-truncated and right-censored survival data
Statistica Sinica,
29,
4,
2141-2161,
2020-01-01
[
Asymptotic normality,Consistency,Left-censoring,Left-truncation. partial-rank correlation estimation,Random weighted bootstrap,Rank correlation estimation,Right-censoring,Right-truncation,U-statistic
]
Two-stage dimension reduction for noisy high-dimensional images and application to cryogenic electron microscopy
Annals of Mathematical Sciences and Applications,
5,
2,
283-316,
2020-01-01
[
Generalized information criterion,Image denoising and reconstruction,Random matrix theory,Rank selection,Stein’s unbiased estimate of risk
]
Versatile estimation in censored single-index hazards regression
Annals of the Institute of Statistical Mathematics,
70,
3,
523-551,
2018-06-01
[
Accuracy measure,Conditional survival function,Cross-validation,Kaplan–Meier estimator,Pseudo-integrated least squares estimator,Pseudo-maximum likelihood estimator,Single-index hazards model,U-statistic
]
Bias and variance reduction in nonparametric estimation of time-dependent accuracy measures
Statistics in Medicine,
35,
28,
5247-5266,
2016-12-10
[
bandwidth selection,conditional survival function,Gaussian process,kernel function,marker-dependent censoring,positive/negative predictive value,receiver operating characteristic curve,true/false positive rate,U-statistic
]
On compatibility of discrete full conditional distributions: A graphical representation approach
Journal of Multivariate Analysis,
124,
1-9,
2014-02-01
[
Connected graph,Full conditional,Graph theory,Primary,Secondary,Spanning tree
]
Estimating the occurrence rate of DNA palindromes
Annals of Applied Statistics,
7,
2,
1095-1110,
2013-06-01
[
DNA palindrome,Genome sequence,Hairpin structure,Higher order Markov model,Hot-spot,Markov model,Occurrence rate,P-value,Poisson process,Power,Segmented Markov model
]
Random weighting and edgeworth expansion for the nonparametric time-dependent AUC estimator
Statistica Sinica,
19,
3,
969-979,
2009-07-01
[
AUC,Edgeworth expansion,Kaplan-meier estimator,Normal approximation,Random weighted bootstrap,Survival data,U-statistic
]
國立中央大學