Tapabrata Maiti

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A Fast, Scalable, and Calibrated Computer Model Emulator: An Empirical Bayes Approach

Vojtech Kejzlar, Mookyong Son, Shrijita Bhattacharya, 2020 .

A Role for Prior Knowledge in Statistical Classification of the Transition from MCI to Alzheimer's Disease pdf

Tapabrata Maiti, Zihuan Liu, Andrew R. Bender, 2020, ArXiv.

Statistical Aspects of High-Dimensional Sparse Artificial Neural Network Models

Tapabrata Maiti, Kaixu Yang, T. Maiti, 2020, Mach. Learn. Knowl. Extr..

Comparability and Reliability Considerations of Adequate Yearly Progress.

Chae Young Lim, Tapabrata Maiti, Kimberly S. Maier, 2012 .

Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges pdf

Shrijita Bhattacharya, Tapabrata Maiti, Zihuan Liu, 2020, ArXiv.

An improved empirical bayes approach to estimating differential gene expression in microarray time-course data: BETR (Bayesian Estimation of Temporal Regulation)

John Quackenbush, Martin J. Aryee, Tapabrata Maiti, 2009, BMC Bioinformatics.

Statistical Foundation of Variational Bayes Neural Networks pdf

Shrijita Bhattacharya, Tapabrata Maiti, T. Maiti, 2020, Neural Networks.

Classification of pathological stage of prostate cancer patients using penalized splines

Tapabrata Maiti, Pushpal Mukhopadhyay, Tathagata Banerjee, 2006, Comput. Stat. Data Anal..

Variational Inference with Vine Copulas: An efficient Approach for Bayesian Computer Model Calibration

Vojtech Kejzlar, Tapabrata Maiti, 2020 .

ACTUARIAL APPLICATIONS OF WORD EMBEDDING MODELS

Tapabrata Maiti, Tapabrata Maiti, Gee Y. Lee, 2019, ASTIN Bulletin.

A comparative study of the bias corrected estimates in logistic regression

Tapabrata Maiti, Vivek Pradhan, T. Maiti, 2008, Statistical methods in medical research.

High dimensional classification for spatially dependent data with application to neuroimaging

Tapabrata Maiti, Liangliang Zhang, Yingjie Li, 2020, Electronic Journal of Statistics.