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Publications by Paranut Sukcharoen
A Test on the Multivariate Behrens–Fisher Problem in High–Dimensional Data by Block Covariance Estimation
Journal of Mathematics and Statistics
Mathematics
Statistics
Probability
Related publications
Distributions of Some Matrix Variates and Latent Roots in Multivariate Behrens-Fisher Discriminant Analysis.
A Blocking and Regularization Approach to High-Dimensional Realized Covariance Estimation
Journal of Applied Econometrics
Economics
Econometrics
Social Sciences
A Joint Modeling Approach for Right Censored High Dimensional Multivariate Longitudinal Data
Journal of Biometrics & Biostatistics
A Scalable Sparse Cholesky Based Approach for Learning High-Dimensional Covariance Matrices in Ordered Data
Machine Learning
Artificial Intelligence
Software
GMM Estimation of the Covariance Structure of Longitudinal Data on Earnings
Stata Journal
Mathematics
Optimal Estimation of a Large-Dimensional Covariance Matrix Under Stein’s Loss
Bernoulli
Statistics
Probability
Doubly Penalized Estimation in Additive Regression With High-Dimensional Data
Annals of Statistics
Uncertainty
Statistics
Probability
The Impact of Covariance Misspecification in Multivariate Gaussian Mixtures on Estimation and Inference: An Application to Longitudinal Modeling
Statistics in Medicine
Epidemiology
Statistics
Probability
A Homogeneity Test of Large Dimensional Covariance Matrices Under Non-Normality
Kybernetika
Control
Systems Engineering
Information Systems
Electronic Engineering
Electrical
Theoretical Computer Science
Artificial Intelligence
Software