Veronika Rockova
Veronika Rockova
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Cited by
Mutant DNMT3A: a marker of poor prognosis in acute myeloid leukemia
AFT Ribeiro, M Pratcorona, C Erpelinck-Verschueren, V Rockova, ...
Blood, The Journal of the American Society of Hematology 119 (24), 5824-5831, 2012
EMVS: The EM approach to Bayesian variable selection
V Ročková, EI George
Journal of the American Statistical Association 109 (506), 828-846, 2014
The spike-and-slab lasso
V Ročková, EI George
Journal of the American Statistical Association 113 (521), 431-444, 2018
Risk stratification of intermediate-risk acute myeloid leukemia: integrative analysis of a multitude of gene mutation and gene expression markers
V Rockova, S Abbas, BJ Wouters, CAJ Erpelinck, HB Beverloo, R Delwel, ...
Blood 118 (4), 1069-1076, 2011
Deregulated Expression of EVI1 Defines a Poor Prognostic Subset of MLL-Rearranged Acute Myeloid Leukemias: A Study of the German-Austrian Acute Myeloid …
S Groeschel, RF Schlenk, J Engelmann, V Rockova, V Teleanu, ...
Journal of clinical oncology 31 (1), 95-103, 2013
Bayesian estimation of sparse signals with a continuous spike-and-slab prior
V Ročková
The Annals of Statistics 46 (1), 401-437, 2018
Fast Bayesian factor analysis via automatic rotations to sparsity
V Ročková, EI George
Journal of the American Statistical Association 111 (516), 1608-1622, 2016
The prognostic relevance of miR-212 expression with survival in cytogenetically and molecularly heterogeneous AML
SM Sun, V Rockova, L Bullinger, MK Dijkstra, H Döhner, B Löwenberg, ...
Leukemia 27 (1), 100-106, 2013
Posterior concentration for Bayesian regression trees and forests
V Rocková, S van der Pas
arXiv preprint arXiv:1708.08734, 2017
On theory for BART
V Ročková, E Saha
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Simultaneous variable and covariance selection with the multivariate spike-and-slab lasso
SK Deshpande, V Ročková, EI George
Journal of Computational and Graphical Statistics 28 (4), 921-931, 2019
Incorporating grouping information in Bayesian variable selection with applications in genomics
V Rockova, E Lesaffre
Bayesian Analysis 9 (1), 221-258, 2014
Posterior concentration for sparse deep learning
N Polson, V Rocková
arXiv preprint arXiv:1803.09138, 2018
Hierarchical Bayesian formulations for selecting variables in regression models
V Rockova, E Lesaffre, J Luime, B Löwenberg
Statistics in medicine 31 (11-12), 1221-1237, 2012
Dynamic variable selection with spike-and-slab process priors
V Rockova, K McAlinn
Bayesian Analysis 16 (1), 233-269, 2021
Negotiating multicollinearity with spike-and-slab priors
V Ročková, EI George
Metron 72 (2), 217-229, 2014
Variance prior forms for high-dimensional Bayesian variable selection
GE Moran, V Ročková, EI George
Bayesian Analysis 14 (4), 1091-1119, 2019
Bayesian dyadic trees and histograms for regression
S van der Pas, V Rocková
arXiv preprint arXiv:1708.00078, 2017
Improving Medicare's hospital compare mortality model
JH Silber, VA Satopää, N Mukherjee, V Rockova, W Wang, AS Hill, ...
Health services research 51, 1229-1247, 2016
Retroviral integration mutagenesis in mice and comparative analysis in human AML identify reduced PTP4A3 expression as a prognostic indicator
R Beekman, M Valkhof, SJ Erkeland, E Taskesen, V Rockova, JK Peeters, ...
PLoS One 6 (10), e26537, 2011
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