Ikuti
Jyotishka Datta
Judul
Dikutip oleh
Dikutip oleh
Tahun
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
11012017
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
2182017
Lasso meets horseshoe
A Bhadra, J Datta, NG Polson, B Willard
Statistical Science 34 (3), 405-427, 2019
2152019
The horseshoe+ estimator of ultra-sparse signals
A Bhadra, J Datta, NG Polson, B Willard
2132017
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
1872017
Asymptotic Properties of Bayes Risk for the Horseshoe Prior
J Datta, JK Ghosh
Bayesian Analysis 7 (4), 771-792, 2012
1302012
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
772016
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
712014
Default Bayesian analysis with global-local shrinkage priors
A Bhadra, J Datta, NG Polson, B Willard
Biometrika 103 (4), 955-969, 2016
622016
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
542016
The horseshoe-like regularization for feature subset selection
A Bhadra, J Datta, NG Polson, B Willard
Sankhya B, 2019
372019
Bayesian inference on quasi-sparse count data
J Datta, DB Dunson
Biometrika 103 (4), 971-983, 2016
35*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
262020
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
212021
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
202024
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
202019
Joint mean–covariance estimation via the horseshoe
Y Li, J Datta, BA Craig, A Bhadra
Journal of Multivariate Analysis 183, 104716, 2021
16*2021
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
152022
Merging two cultures: deep and statistical learning
A Bhadra, J Datta, NG Polson, V Sokolov, J Xu
Wiley Interdisciplinary Reviews: Computational Statistics 16 (2), e1647, 2024
142024
Group inverse-gamma gamma shrinkage for sparse linear models with block-correlated regressors
J Boss, J Datta, X Wang, SK Park, J Kang, B Mukherjee
Bayesian Analysis 19 (3), 785-814, 2024
13*2024
Sistem tidak dapat melakukan operasi ini. Coba lagi nanti.
Artikel 1–20