| CMPLE: Correlation Modeling to Decode Photosynthesis Using the Minorize–Maximize Algorithm A Chattopadhyay, D Hoh, DM Kramer, T Maiti, S Sinha Journal of Agricultural, Biological and Environmental Statistics, 1-24, 2024 | | 2024 |
| Error‐controlled feature selection for ultrahigh‐dimensional and highly correlated feature space using deep learning A Ganguli, T Maiti, D Todem Statistical Analysis and Data Mining: The ASA Data Science Journal 17 (2 …, 2024 | | 2024 |
| A tensor based varying-coefficient model for multi-modal neuroimaging data analysis PG Niyogi, MA Lindquist, T Maiti IEEE Transactions on Signal Processing, 2024 | 1 | 2024 |
| Comprehensive study of variational Bayes classification for dense deep neural networks S Bhattacharya, Z Liu, T Maiti Statistics and Computing 34 (1), 17, 2024 | 2 | 2024 |
| Statistically Valid Variational Bayes Algorithm for Ising Model Parameter Estimation M Kim, S Bhattacharya, T Maiti Journal of Computational and Graphical Statistics 33 (1), 75-84, 2024 | 1 | 2024 |
| Bayesian Hierarchical Hypothesis Testing in Large-Scale Genome-Wide Association Analysis A Samaddar, T Maiti, G de los Campos bioRxiv, 2024.02. 26.582204, 2024 | | 2024 |
| A comprehensive study of spike and slab shrinkage priors for structurally sparse Bayesian neural networks S Jantre, S Bhattacharya, T Maiti arXiv preprint arXiv:2308.09104, 2023 | 2 | 2023 |
| Multiple signed graph learning for gene regulatory network inference A Karaaslanli, S Saha, T Maiti, S Aviyente ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Kernelized multiview signed graph learning for single-cell RNA sequencing data A Karaaslanli, S Saha, T Maiti, S Aviyente BMC bioinformatics 24 (1), 127, 2023 | 2 | 2023 |
| Variational inference with vine copulas: an efficient approach for Bayesian computer model calibration V Kejzlar, T Maiti Statistics and Computing 33 (1), 18, 2023 | 5 | 2023 |
| Black Box Variational Bayesian Model Averaging V Kejzlar, S Bhattacharya, M Son, T Maiti The American Statistician 77 (1), 85-96, 2023 | 4 | 2023 |
| 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 | 16 | 2023 |
| Coupled support tensor machine classification for multimodal neuroimaging data P Li, SE Sofuoglu, S Aviyente, T Maiti Statistical Analysis and Data Mining: The ASA Data Science Journal 15 (6 …, 2022 | 2 | 2022 |
| Loss amount prediction from textual data using a double GLM with shrinkage and selection S Manski, K Yang, GY Lee, T Maiti European Actuarial Journal 12 (2), 503-528, 2022 | 1 | 2022 |
| Parameter calibration for beta-decay calculations T Li, M Son, V Kejzlar, W Nazarewicz, T Maiti, S Bhattacharya, S Giuliani Bulletin of the American Physical Society 67, 2022 | | 2022 |
| Ultrahigh‐dimensional generalized additive model: Unified theory and methods K Yang, T Maiti Scandinavian Journal of Statistics 49 (3), 917-942, 2022 | 3 | 2022 |
| Dose-dependent disruption of hepatic zonation by 2,3,7,8-tetrachlorodibenzo-p-dioxin in mice: integration of single-nuclei RNA sequencing and spatial … R Nault, S Saha, S Bhattacharya, S Sinha, T Maiti, T Zacharewski bioRxiv, 2022.06. 15.496321, 2022 | 1 | 2022 |
| Sequential bayesian neural subnetwork ensembles S Jantre, S Madireddy, S Bhattacharya, T Maiti, P Balaprakash arXiv preprint arXiv:2206.00794, 2022 | 4 | 2022 |
| 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 | 8 | 2022 |
| Variational Bayes Ensemble Learning Neural Networks With Compressed Feature Space Z Liu, S Bhattacharya, T Maiti IEEE Transactions on Neural Networks and Learning Systems 35 (1), 1379-1385, 2022 | 2 | 2022 |