Articles with public access mandates - Tapabrata MaitiLearn more
Not available anywhere: 4
Spatial regression and estimation of disease risks: A clustering‐based approach
W Feng, CY Lim, T Maiti, Z Zhang
Statistical Analysis and Data Mining: The ASA Data Science Journal 9 (6 …, 2016
Mandates: US National Science Foundation
Variable selection and estimation for high‐dimensional spatial autoregressive models
L Cai, T Maiti
Scandinavian Journal of Statistics 47 (2), 587-607, 2020
Mandates: US National Science Foundation
A role for prior knowledge in statistical classification of the transition from mild cognitive impairment to Alzheimer’s disease
Z Liu, T Maiti, AR Bender, Alzheimer’s Disease Neuroimaging Initiative
Journal of Alzheimer's Disease 83 (4), 1859-1875, 2021
Mandates: US National Science Foundation, US Department of Defense, US National …
A Bayesian group lasso classification for ADNI volumetrics data
A Majumder, T Maiti, S Datta
Statistical Methods in Medical Research 30 (10), 2207-2220, 2021
Mandates: US National Institutes of Health
Available somewhere: 27
An improved empirical bayes approach to estimating differential gene expression in microarray time-course data: BETR (Bayesian Estimation of Temporal Regulation)
MJ Aryee, JA Gutiérrez-Pabello, I Kramnik, T Maiti, J Quackenbush
BMC bioinformatics 10, 1-10, 2009
Mandates: US National Institutes of Health
Get on the BAND wagon: a Bayesian framework for quantifying model uncertainties in nuclear dynamics
DR Phillips, RJ Furnstahl, U Heinz, T Maiti, W Nazarewicz, FM Nunes, ...
Journal of Physics G: Nuclear and Particle Physics 48 (7), 072001, 2021
Mandates: US National Science Foundation, US Department of Energy
Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields
Y Xu, J Choi, S Dass, T Maiti
Automatica 49 (12), 3520-3530, 2013
Mandates: US National Institutes of Health
Current methods for recurrent events data with dependent termination: a Bayesian perspective
D Sinha, T Maiti, JG Ibrahim, B Ouyang
Journal of the American Statistical Association 103 (482), 866-878, 2008
Mandates: US National Institutes of Health
Patient-specific prediction of abdominal aortic aneurysm expansion using Bayesian calibration
L Zhang, Z Jiang, J Choi, CY Lim, T Maiti, S Baek
IEEE journal of biomedical and health informatics 23 (6), 2537-2550, 2019
Mandates: US National Science Foundation, US National Institutes of Health
Additive model building for spatial regression
S Nandy, CY Lim, T Maiti
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017
Mandates: US National Science Foundation
Analysis of conversion of Alzheimer’s disease using a multi-state Markov model
L Zhang, CY Lim, T Maiti, Y Li, J Choi, A Bozoki, DC Zhu, ...
Statistical methods in medical research 28 (9), 2801-2819, 2019
Mandates: US Department of Defense, US National Institutes of Health, Canadian …
Bayesian variable selection in the accelerated failure time model with an application to the surveillance, epidemiology, and end results breast cancer data
Z Zhang, S Sinha, T Maiti, E Shipp
Statistical methods in medical research 27 (4), 971-990, 2018
Mandates: US National Institutes of Health
Single-cell transcriptomics shows dose-dependent disruption of hepatic zonation by TCDD in mice
R Nault, S Saha, S Bhattacharya, S Sinha, T Maiti, T Zacharewski
Toxicological Sciences 191 (1), 135-148, 2023
Mandates: US National Institutes of Health
Benchmarking of a Bayesian single cell RNAseq differential gene expression test for dose–response study designs
R Nault, S Saha, S Bhattacharya, J Dodson, S Sinha, T Maiti, ...
Nucleic acids research 50 (8), e48-e48, 2022
Mandates: US National Science Foundation, US National Institutes of Health
Regional fertility data analysis: A small area Bayesian approach
EA Castro, Z Zhang, A Bhattacharjee, JM Martins, T Maiti
Current trends in Bayesian methodology with applications 203, 2015
Mandates: Fundação para a Ciência e a Tecnologia, Portugal
Layer adaptive node selection in Bayesian neural networks: statistical guarantees and implementation details
S Jantre, S Bhattacharya, T Maiti
arXiv preprint arXiv:2108.11000, 2021
Mandates: US National Science Foundation
Statistical foundation of Variational Bayes neural networks
S Bhattacharya, T Maiti
Neural Networks 137, 151-173, 2021
Mandates: US National Science Foundation
Statistical aspects of high-dimensional sparse artificial neural network models
K Yang, T Maiti
Machine learning and knowledge extraction 2 (1), 1, 2020
Mandates: US National Science Foundation
Light potentials of photosynthetic energy storage in the field: what limits the ability to use or dissipate rapidly increased light energy?
A Kanazawa, A Chattopadhyay, S Kuhlgert, H Tuitupou, T Maiti, ...
Royal Society Open Science 8 (12), 211102, 2021
Mandates: US National Science Foundation, US Department of Energy
scSGL: kernelized signed graph learning for single-cell gene regulatory network inference
A Karaaslanli, S Saha, S Aviyente, T Maiti
Bioinformatics 38 (11), 3011-3019, 2022
Mandates: US National Science Foundation
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