Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Veronika Rockova"'
Autor:
Renée Beekman, Marijke Valkhof, Stefan J Erkeland, Erdogan Taskesen, Veronika Rockova, Justine K Peeters, Peter J M Valk, Bob Löwenberg, Ivo P Touw
Publikováno v:
PLoS ONE, Vol 6, Iss 10, p e26537 (2011)
Acute myeloid leukemia (AML) results from multiple genetic and epigenetic aberrations, many of which remain unidentified. Frequent loss of large chromosomal regions marks haplo-insufficiency as one of the major mechanisms contributing to leukemogenes
Externí odkaz:
https://doaj.org/article/964aa76b293d4d1f93e7d2fe879265e4
Autor:
Wei Jiang, Veronika Rockova, Julie Josse, Szymon Majewski, Błażej Miasojedow, Małgorzata Bogdan
Publikováno v:
Journal of Computational and Graphical Statistics. 31:113-137
We consider the problem of variable selection in high-dimensional settings with missing observations among the covariates. To address this relatively understudied problem, we propose a new synergis...
Publikováno v:
Journal of the Royal Statistical Society Series B: Statistical Methodology. 83:453-481
Few problems in statistics are as perplexing as variable selection in the presence of very many redundant covariates. The variable selection problem is most familiar in parametric environments such as the linear model or additive variants thereof. In
Autor:
Edward I. George, Veronika Rockova
Publikováno v:
Technometrics. 62:438-442
Ridge regression and the lasso illustrate some of the remarkable successes of penalized likelihood regularization for regression analysis. When viewed through the Bayesian lens of posterior maximiz...
Publikováno v:
Bayesian Analysis. 16
The median probability model (MPM) (Barbieri and Berger, 2004) is defined as the model consisting of those variables whose marginal posterior probability of inclusion is at least 0.5 . The MPM rule yields the best single model for prediction in ortho
Publikováno v:
The Annals of Applied Statistics. 15
Biclustering methods simultaneously group samples and their associated features. In this way, biclustering methods differ from traditional clustering methods, which utilize the entire set of features to distinguish groups of samples. Motivating appli
Autor:
Yi Liu, Veronika Rockova
–Thompson sampling is a heuristic algorithm for the multi-armed bandit problem which has a long tradition in machine learning. The algorithm has a Bayesian spirit in the sense that it selects arms based on posterior samples of reward probabilities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15407df63f5e7431ef83a989e4b7bccf
Publikováno v:
Ann. Statist. 48, no. 4 (2020), 2108-2131
Since their inception in the 1980s, regression trees have been one of the more widely used nonparametric prediction methods. Tree-structured methods yield a histogram reconstruction of the regression surface, where the bins correspond to terminal nod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9159d304bfb4e30408d93bbb6f69bf9a
https://projecteuclid.org/euclid.aos/1597370666
https://projecteuclid.org/euclid.aos/1597370666
Autor:
Edward I. George, Veronika Rockova
Publikováno v:
Journal of the American Statistical Association. 113:431-444
Despite the wide adoption of spike-and-slab methodology for Bayesian variable selection, its potential for penalized likelihood estimation has largely been overlooked. In this article, we bridge this gap by cross-fertilizing these two paradigms with
Autor:
Veronika Rockova, Edward I. George
Rotational post hoc transformations have traditionally played a key role in enhancing the interpretability of factor analysis. Regularization methods also serve to achieve this goal by prioritizing sparse loading matrices. In this work, we bridge the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fb5824492974ada04c692d7bf64d652