Naveen N. Narisetty
Zitiert von
Zitiert von
Bayesian variable selection with shrinking and diffusing priors
NN Narisetty, X He
The Annals of Statistics 42 (2), 789-817, 2014
Extremal Depth for Functional Data and Applications
NN Narisetty, VN Nair
Journal of the American Statistical Association, Theory and Methods, 2016
A randomized trial of an avatar-hosted multiple behavior change intervention for young adult smokers
LC An, MRS Demers, MA Kirch, S Considine-Dunn, V Nair, K Dasgupta, ...
Journal of the National Cancer Institute Monographs 2013 (47), 209-215, 2013
Bayesian regularization for graphical models with unequal shrinkage
L Gan, NN Narisetty, F Liang
Journal of the American Statistical Association 114 (527), 1218-1231, 2019
Skinny Gibbs: A consistent and scalable Gibbs sampler for model selection
NN Narisetty, J Shen, X He
Journal of the American Statistical Association, 2018
Informing the uninformed: optimizing the consent message using a fractional factorial design
AR Tait, T Voepel-Lewis, VN Nair, NN Narisetty, A Fagerlin
JAMA pediatrics 167 (7), 640-646, 2013
A new approach to censored quantile regression estimation
X Yang, NN Narisetty, X He
Journal of Computational and Graphical Statistics 27 (2), 417-425, 2018
Consistent group selection with Bayesian high dimensional modeling
X Yang, NN Narisetty
Bayesian Analysis, 2019
Bayesian joint estimation of multiple graphical models
L Gan, X Yang, N Narisetty, F Liang
Advances in Neural Information Processing Systems 32, 2019
Stability of an ERP-based measure of brain network activation (BNA) in athletes: A new electrophysiological assessment tool for concussion
JT Eckner, A Rettmann, N Narisetty, J Greer, B Moore, S Brimacombe, ...
Brain injury 30 (9), 1075-1081, 2016
Investigating a novel measure of brain networking following sports concussion
SP Broglio, A Rettmann, J Greer, S Brimacombe, B Moore, N Narisetty, ...
International journal of sports medicine 37 (09), 714-722, 2016
Bayesian model selection for high-dimensional data
NN Narisetty
Handbook of Statistics, 2020
New methods for multiple testing in permutation inference for the general linear model
T Mrkvička, M Myllymäki, M Kuronen, NN Narisetty
Statistics in medicine 41 (2), 276-297, 2022
Robust multivariate mixture regression models with incomplete data
HK Lim, NN Narisetty, S Cheon
Journal of Statistical Computation and Simulation 87 (2), 328-347, 2017
Bayesian multiple quantile regression for linear models using a score likelihood
T Wu, NN Narisetty
Bayesian Analysis 16 (3), 875-903, 2021
GemBag: Group Estimation of Multiple Bayesian Graphical Models.
X Yang, L Gan, NN Narisetty, F Liang
J. Mach. Learn. Res. 22, 54:1-54:48, 2021
Identifying regions of inhomogeneities in spatial processes via an M‐RA and mixture priors
MH Benedetti, VJ Berrocal, NN Narisetty
Biometrics 78 (2), 798-811, 2022
Censored quantile regression survival models with a cure proportion
N Narisetty, R Koenker
Journal of Econometrics, 2022
Selection of nonlinear interactions by a forward stepwise algorithm: Application to identifying environmental chemical mixtures affecting health outcomes
NN Narisetty, B Mukherjee, YH Chen, R Gonzalez, JD Meeker
Statistics in medicine 38 (9), 1582-1600, 2019
Discussion of “multivariate functional outlier detection”
NN Narisetty, X He
Statistical Methods & Applications 24 (2), 209-215, 2015
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