Zobrazeno 1 - 10
of 374
pro vyhledávání: '"Claeskens Gerda"'
Publikováno v:
Dependence Modeling, Vol 10, Iss 1, Pp 1-21 (2022)
Quantile regression is a field with steadily growing importance in statistical modeling. It is a complementary method to linear regression, since computing a range of conditional quantile functions provides more accurate modeling of the stochastic re
Externí odkaz:
https://doaj.org/article/71b1c72611024dbfba4689af1640cdca
Hierarchical categorical variables often exhibit many levels (high granularity) and many classes within each level (high dimensionality). This may cause overfitting and estimation issues when including such covariates in a predictive model. In curren
Externí odkaz:
http://arxiv.org/abs/2403.03613
Selective inference methods are developed for group lasso estimators for use with a wide class of distributions and loss functions. The method includes the use of exponential family distributions, as well as quasi-likelihood modeling for overdisperse
Externí odkaz:
http://arxiv.org/abs/2306.13829
Publikováno v:
In Neurocomputing 28 January 2025 615
Publikováno v:
TEST 2023
Generalized linear models are flexible tools for the analysis of diverse datasets, but the classical formulation requires that the parametric component is correctly specified and the data contain no atypical observations. To address these shortcoming
Externí odkaz:
http://arxiv.org/abs/2201.11466
We investigate the issue of post-selection inference for a fixed and a mixed parameter in a linear mixed model using a conditional Akaike information criterion as a model selection procedure. Within the framework of linear mixed models we develop com
Externí odkaz:
http://arxiv.org/abs/2109.10975
Quantile regression is a field with steadily growing importance in statistical modeling. It is a complementary method to linear regression, since computing a range of conditional quantile functions provides a more accurate modelling of the stochastic
Externí odkaz:
http://arxiv.org/abs/2102.04873
Robust methods, though ubiquitous in practice, are yet to be fully understood in the context of regularized estimation and high dimensions. Even simple questions become challenging very quickly. For example, classical statistical theory identifies eq
Externí odkaz:
http://arxiv.org/abs/2006.07457