Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Janková, Jana"'
We propose a family of tests to assess the goodness-of-fit of a high-dimensional generalized linear model. Our framework is flexible and may be used to construct an omnibus test or directed against testing specific non-linearities and interaction eff
Externí odkaz:
http://arxiv.org/abs/1908.03606
Autor:
Janková, Jana, van de Geer, Sara
Sparse principal component analysis (sPCA) has become one of the most widely used techniques for dimensionality reduction in high-dimensional datasets. The main challenge underlying sPCA is to estimate the first vector of loadings of the population c
Externí odkaz:
http://arxiv.org/abs/1801.10567
Autor:
Jankova, Jana, van de Geer, Sara
We provide a selected overview of methodology and theory for estimation and inference on the edge weights in high-dimensional directed and undirected Gaussian graphical models. For undirected graphical models, two main explicit constructions are prov
Externí odkaz:
http://arxiv.org/abs/1801.08512
Autor:
Janková, Jana, van de Geer, Sara
We study asymptotically normal estimation and confidence regions for low-dimensional parameters in high-dimensional sparse models. Our approach is based on the $\ell_1$-penalized M-estimator which is used for construction of a bias corrected estimato
Externí odkaz:
http://arxiv.org/abs/1610.01353
Autor:
Jankova, Jana, van de Geer, Sara
Asymptotic lower bounds for estimation play a fundamental role in assessing the quality of statistical procedures. In this paper we propose a framework for obtaining semi-parametric efficiency bounds for sparse high-dimensional models, where the dime
Externí odkaz:
http://arxiv.org/abs/1601.00815
Autor:
Janková, Jana, van de Geer, Sara
We propose methodology for estimation of sparse precision matrices and statistical inference for their low-dimensional parameters in a high-dimensional setting where the number of parameters $p$ can be much larger than the sample size. We show that t
Externí odkaz:
http://arxiv.org/abs/1507.02061
Autor:
Janková, Jana
Work presents physical geography of the Úpa River basin from the point of view of geology, geomorphology and soil characteristics. Climate, hydrography and hydrology are described in more detail. Úpa River basin is specific in its shape and positio
Externí odkaz:
http://www.nusl.cz/ntk/nusl-275003
Autor:
Jankova, Jana, van de Geer, Sara
Publikováno v:
Electronic Journal of Statistics 2015, Vol. 9, No. 1, 1205 - 1229
We propose methodology for statistical inference for low-dimensional parameters of sparse precision matrices in a high-dimensional setting. Our method leads to a non-sparse estimator of the precision matrix whose entries have a Gaussian limiting dist
Externí odkaz:
http://arxiv.org/abs/1403.6752
Autor:
Janková, Jana, Van de Geer, Sara
Publikováno v:
The Annals of Statistics, 2018 Oct 01. 46(5), 2336-2359.
Externí odkaz:
https://www.jstor.org/stable/26542866
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