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Jyotishka Datta
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Year
Genetic and functional drivers of diffuse large B cell lymphoma
A Reddy, J Zhang, NS Davis, AB Moffitt, CL Love, A Waldrop, S Leppa, ...
Cell 171 (2), 481-494. e15, 2017
9892017
The horseshoe+ estimator of ultra-sparse signals
A Bhadra, J Datta, NG Polson, B Willard
1922017
The genetic basis of hepatosplenic T-cell lymphoma
M McKinney, AB Moffitt, P Gaulard, M Travert, L De Leval, A Nicolae, ...
Cancer discovery 7 (4), 369-379, 2017
191*2017
Lasso meets horseshoe
A Bhadra, J Datta, NG Polson, B Willard
Statistical Science 34 (3), 405-427, 2019
1632019
Enteropathy-associated T cell lymphoma subtypes are characterized by loss of function of SETD2
AB Moffitt, SL Ondrejka, M McKinney, RE Rempel, JR Goodlad, CH Teh, ...
Journal of Experimental Medicine 214 (5), 1371-1386, 2017
1612017
Asymptotic Properties of Bayes Risk for the Horseshoe Prior
J Datta, JK Ghosh
Bayesian Analysis 7 (4), 771-792, 2012
1222012
GNA13 loss in germinal center B cells leads to impaired apoptosis and promotes lymphoma in vivo
JA Healy, A Nugent, RE Rempel, AB Moffitt, NS Davis, X Jiang, ...
Blood, The Journal of the American Society of Hematology 127 (22), 2723-2731, 2016
712016
Age-related changes in the relationship between auditory brainstem responses and envelope-following responses
A Parthasarathy, J Datta, JAL Torres, C Hopkins, EL Bartlett
Journal of the Association for Research in Otolaryngology 15, 649-661, 2014
642014
Default Bayesian analysis with global-local shrinkage priors
A Bhadra, J Datta, NG Polson, B Willard
Biometrika 103 (4), 955-969, 2016
592016
Geomorphons: Landform and property predictions in a glacial moraine in Indiana landscapes
Z Libohova, HE Winzeler, B Lee, PJ Schoeneberger, J Datta, PR Owens
Catena 142, 66-76, 2016
442016
The horseshoe-like regularization for feature subset selection
A Bhadra, J Datta, NG Polson, B Willard
Sankhya B, 2019
342019
Bayesian inference on quasi-sparse count data
J Datta, DB Dunson
Biometrika 103 (4), 971-983, 2016
30*2016
Horseshoe Regularisation for Machine Learning in Complex and Deep Models1
A Bhadra, J Datta, Y Li, N Polson
International Statistical Review 88 (2), 302-320, 2020
192020
Prediction risk for the horseshoe regression
A Bhadra, J Datta, Y Li, NG Polson, B Willard
Journal of Machine Learning Research 20 (78), 1-39, 2019
182019
A meta-analysis of the protein components in rattlesnake venom
A Deshwal, P Phan, J Datta, R Kannan, SK Thallapuranam
Toxins 13 (6), 372, 2021
172021
Extending the susceptible‐exposed‐infected‐removed (SEIR) model to handle the false negative rate and symptom‐based administration of COVID‐19 diagnostic tests: SEIR‐fansy
R Bhaduri, R Kundu, S Purkayastha, M Kleinsasser, LJ Beesley, ...
Statistics in medicine 41 (13), 2317-2337, 2022
132022
Joint mean–covariance estimation via the horseshoe
Y Li, J Datta, BA Craig, A Bhadra
Journal of Multivariate Analysis 183, 104716, 2021
12*2021
Precision matrix estimation under the horseshoe-like prior–penalty dual
K Sagar, S Banerjee, J Datta, A Bhadra
Electronic Journal of Statistics 18 (1), 1-46, 2024
112024
COVID-19 PREDICTION IN SOUTH AFRICA: ESTIMATING THE UNASCERTAINED CASES-THE HIDDEN PART OF THE EPIDEMIOLOGICAL ICEBERG.
X Gu, B Mukherjee, S Das, J Datta
MedRxiv, 2021
112021
Bootstrap—an exploration
J Datta, JK Ghosh
Statistical Methodology 20, 63-72, 2014
102014
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Articles 1–20