![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
Tapabrata Maiti
Person information
Refine list
![note](https://dblp1.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j20]Minwoo Kim
, Shrijita Bhattacharya, Tapabrata Maiti:
Statistically Valid Variational Bayes Algorithm for Ising Model Parameter Estimation. J. Comput. Graph. Stat. 33(1): 75-84 (2024) - [j19]Shrijita Bhattacharya, Zihuan Liu, Tapabrata Maiti:
Comprehensive study of variational Bayes classification for dense deep neural networks. Stat. Comput. 34(1): 17 (2024) - [j18]Arkaprabha Ganguli
, Tapabrata Maiti, David Todem:
Error-controlled feature selection for ultrahigh-dimensional and highly correlated feature space using deep learning. Stat. Anal. Data Min. 17(2) (2024) - [j17]Zihuan Liu
, Shrijita Bhattacharya
, Tapabrata Maiti
:
Variational Bayes Ensemble Learning Neural Networks With Compressed Feature Space. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1379-1385 (2024) - [j16]Pratim Guha Niyogi
, Martin A. Lindquist
, Tapabrata Maiti
:
A Tensor Based Varying-Coefficient Model for Multi-Modal Neuroimaging Data Analysis. IEEE Trans. Signal Process. 72: 1607-1619 (2024) - 2023
- [j15]Abdullah Karaaslanli, Satabdi Saha, Tapabrata Maiti, Selin Aviyente:
Kernelized multiview signed graph learning for single-cell RNA sequencing data. BMC Bioinform. 24(1): 127 (2023) - [j14]Sanket R. Jantre
, Shrijita Bhattacharya, Tapabrata Maiti:
Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details. Neural Networks 167: 309-330 (2023) - [j13]Vojtech Kejzlar
, Tapabrata Maiti:
Variational inference with vine copulas: an efficient approach for Bayesian computer model calibration. Stat. Comput. 33(1): 18 (2023) - [c4]Abdullah Karaaslanli, Satabdi Saha, Tapabrata Maiti, Selin Aviyente:
Multiple Signed Graph Learning for Gene Regulatory Network Inference. ICASSP 2023: 1-5 - [i9]Sanket R. Jantre
, Shrijita Bhattacharya, Tapabrata Maiti:
A comprehensive study of spike and slab shrinkage priors for structurally sparse Bayesian neural networks. CoRR abs/2308.09104 (2023) - 2022
- [j12]Abdullah Karaaslanli
, Satabdi Saha, Selin Aviyente, Tapabrata Maiti:
scSGL: kernelized signed graph learning for single-cell gene regulatory network inference. Bioinform. 38(11): 3011-3019 (2022) - [j11]Peide Li, Seyyid Emre Sofuoglu
, Selin Aviyente
, Tapabrata Maiti:
Coupled support tensor machine classification for multimodal neuroimaging data. Stat. Anal. Data Min. 15(6): 797-818 (2022) - [i8]Peide Li, Seyyid Emre Sofuoglu, Tapabrata Maiti, Selin Aviyente:
Coupled Support Tensor Machine Classification for Multimodal Neuroimaging Data. CoRR abs/2201.07683 (2022) - [i7]Sanket R. Jantre
, Sandeep Madireddy
, Shrijita Bhattacharya, Tapabrata Maiti, Prasanna Balaprakash:
Sequential Bayesian Neural Subnetwork Ensembles. CoRR abs/2206.00794 (2022) - [i6]Arkaprabha Ganguli, Tapabrata Maiti:
Feature Selection integrated Deep Learning for Ultrahigh Dimensional and Highly Correlated Feature Space. CoRR abs/2209.07011 (2022) - 2021
- [j10]Shrijita Bhattacharya, Tapabrata Maiti:
Statistical foundation of Variational Bayes neural networks. Neural Networks 137: 151-173 (2021) - [j9]Vojtech Kejzlar
, Mookyong Son
, Shrijita Bhattacharya, Tapabrata Maiti:
A fast and calibrated computer model emulator: an empirical Bayes approach. Stat. Comput. 31(4): 49 (2021) - [i5]Peide Li, Rejaul Karim, Tapabrata Maiti:
TEC: Tensor Ensemble Classifier for Big Data. CoRR abs/2103.00025 (2021) - [i4]Sanket R. Jantre, Shrijita Bhattacharya, Tapabrata Maiti:
Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Details. CoRR abs/2108.11000 (2021) - 2020
- [j8]Kaixu Yang
, Tapabrata Maiti
:
Statistical Aspects of High-Dimensional Sparse Artificial Neural Network Models. Mach. Learn. Knowl. Extr. 2(1): 1-19 (2020) - [i3]Shrijita Bhattacharya, Tapabrata Maiti:
Statistical Foundation of Variational Bayes Neural Networks. CoRR abs/2006.15786 (2020) - [i2]Shrijita Bhattacharya, Zihuan Liu, Tapabrata Maiti:
Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges. CoRR abs/2011.09592 (2020) - [i1]Zihuan Liu, Tapabrata Maiti, Andrew R. Bender:
A Role for Prior Knowledge in Statistical Classification of the Transition from MCI to Alzheimer's Disease. CoRR abs/2012.00538 (2020)
2010 – 2019
- 2019
- [j7]Guiling Shi, Chae Young Lim
, Tapabrata Maiti:
Bayesian model selection for generalized linear models using non-local priors. Comput. Stat. Data Anal. 133: 285-296 (2019) - [j6]Liangliang Zhang
, Zhenxiang Jiang, Jongeun Choi
, Chae Young Lim, Tapabrata Maiti, Seungik Baek
:
Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion Using Bayesian Calibration. IEEE J. Biomed. Health Informatics 23(6): 2537-2550 (2019) - 2016
- [j5]Wenning Feng, Chae Young Lim, Tapabrata Maiti, Zhen Zhang
:
Spatial regression and estimation of disease risks: A clustering-based approach. Stat. Anal. Data Min. 9(6): 417-434 (2016) - 2015
- [c3]Huan N. Do, Jongeun Choi, Chae Young Lim, Tapabrata Maiti:
Appearance-based localization using Group LASSO regression with an indoor experiment. AIM 2015: 984-989 - 2013
- [j4]Yunfei Xu, Jongeun Choi
, Sarat C. Dass
, Tapabrata Maiti:
Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields. Autom. 49(12): 3520-3530 (2013) - 2012
- [j3]Yunfei Xu, Jongeun Choi
, Sarat C. Dass
, Tapabrata Maiti:
Sequential Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks. IEEE Trans. Autom. Control. 57(8): 2078-2084 (2012) - [c2]Yunfei Xu, Jongeun Choi
, Sarat C. Dass
, Tapabrata Maiti:
Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields. ACC 2012: 2171-2176 - [c1]Yunfei Xu, Jongeun Choi
, Sarat C. Dass
, Tapabrata Maiti:
A unified Bayesian approach for prediction and detection using mobile sensor networks. CDC 2012: 1180-1185 - 2011
- [r1]Tapabrata Maiti:
Horvitz-Thompson Estimator. International Encyclopedia of Statistical Science 2011: 637-638
2000 – 2009
- 2009
- [j2]Martin J. Aryee, José A. Gutiérrez-Pabello, Igor Kramnik
, Tapabrata Maiti, John Quackenbush
:
An improved empirical bayes approach to estimating differential gene expression in microarray time-course data: BETR (Bayesian Estimation of Temporal Regulation). BMC Bioinform. 10: 409 (2009) - 2006
- [j1]Tathagata Banerjee, Tapabrata Maiti, Pushpal Mukhopadhyay:
Classification of pathological stage of prostate cancer patients using penalized splines. Comput. Stat. Data Anal. 51(2): 1147-1155 (2006)
Coauthor Index
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-20 21:18 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint