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pro vyhledávání: '"Van Wieringen, Wessel N."'
Cancer prognosis is often based on a set of omics covariates and a set of established clinical covariates such as age and tumor stage. Combining these two sets poses challenges. First, dimension difference: clinical covariates should be favored becau
Externí odkaz:
http://arxiv.org/abs/2411.02396
The high dimensional nature of genomics data complicates feature selection, in particular in low sample size studies - not uncommon in clinical prediction settings. It is widely recognized that complementary data on the features, `co-data', may impro
Externí odkaz:
http://arxiv.org/abs/2405.04917
Publikováno v:
Journal of Statistical Software, 102 (2022): 1-32
A graphical model is an undirected network representing the conditional independence properties between random variables. Graphical modeling has become part and parcel of systems or network approaches to multivariate data, in particular when the vari
Externí odkaz:
http://arxiv.org/abs/2010.05619
Transfer learning refers to the promising idea of initializing model fits based on pre-training on other data. We particularly consider regression modeling settings where parameter estimates from previous data can be used as anchoring points, yet may
Externí odkaz:
http://arxiv.org/abs/2007.02117
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We introduce a sparse high-dimensional regression approach that can incorporate prior information on the regression parameters and can borrow information across a set of similar datasets. Prior information may for instance come from previous studies
Externí odkaz:
http://arxiv.org/abs/1901.10217
Computational efficient evaluation of penalized estimators of multivariate exponential family distributions is sought. These distributions encompass among others Markov random fields with variates of mixed type (e.g. binary and continuous) as special
Externí odkaz:
http://arxiv.org/abs/1812.02401
Publikováno v:
Communications in Statistics: Theory & Methods; 2024, Vol. 53 Issue 21, p7711-7722, 12p
Publikováno v:
Computational Statistics, 35(2):629-646, 2020
Many modern statistical applications ask for the estimation of a covariance (or precision) matrix in settings where the number of variables is larger than the number of observations. There exists a broad class of ridge-type estimators that employs re
Externí odkaz:
http://arxiv.org/abs/1608.04123
Autor:
Kpogbezan, Gino B., van der Vaart, Aad W., van Wieringen, Wessel N., Leday, Gwenaël G. R., van de Wiel, Mark A.
Reconstruction of a high-dimensional network may benefit substantially from the inclusion of prior knowledge on the network topology. In the case of gene interaction networks such knowledge may come for instance from pathway repositories like KEGG, o
Externí odkaz:
http://arxiv.org/abs/1605.07514