Results 1 to 10 of about 287,162 (161)

Elastic Net Regularization Paths for All Generalized Linear Models [PDF]

Journal of Statistical Software, 2023
The lasso and elastic net are popular regularized regression models for supervised learning. Friedman, Hastie, and Tibshirani (2010) introduced a computationally efficient algorithm for computing the elastic net regularization path for ordinary least ...
J. Kenneth Tay, Balasubramanian Narasimhan, Trevor Hastie   +2 more
doaj   +2 more sources

Feature Screening for High-Dimensional Variable Selection in Generalized Linear Models [PDF]

Entropy, 2023
The two-stage feature screening method for linear models applies dimension reduction at first stage to screen out nuisance features and dramatically reduce the dimension to a moderate size; at the second stage, penalized methods such as LASSO and SCAD ...
Jinzhu Jiang, Junfeng Shang
doaj   +2 more sources

Holistic Generalized Linear Models

Journal of Statistical Software
Holistic linear regression extends the classical best subset selection problem by adding additional constraints designed to improve the model quality.
Benjamin Schwendinger, Florian Schwendinger, Laura Vana   +2 more
doaj   +4 more sources

Generalized Linear Models with Covariate Measurement Error and Zero-Inflated Surrogates [PDF]

Mathematics
Epidemiological studies often encounter a challenge due to exposure measurement error when estimating an exposure–disease association. A surrogate variable may be available for the true unobserved exposure variable.
Ching-Yun Wang, Jean de Dieu Tapsoba, Catherine Duggan, Anne McTiernan   +3 more
doaj   +2 more sources

partR2: partitioning R2 in generalized linear mixed models [PDF]

PeerJ, 2021
The coefficient of determination R2 quantifies the amount of variance explained by regression coefficients in a linear model. It can be seen as the fixed-effects complement to the repeatability R (intra-class correlation) for the variance explained by ...
Martin A. Stoffel, Shinichi Nakagawa, Holger Schielzeth   +2 more
doaj   +2 more sources

Transfer Learning Under High-Dimensional Generalized Linear Models [PDF]

Journal of the American Statistical Association, 2023
Yang Feng
exaly   +2 more sources

Bias-Corrected Inference of High-Dimensional Generalized Linear Models

Mathematics, 2023
In this paper, we propose a weighted link-specific (WLS) approach that establishes a unified statistical inference framework for high-dimensional Poisson and Gamma regression.
Shengfei Tang, Yanmei Shi, Qi Zhang
doaj   +1 more source

CytoGLMM: conditional differential analysis for flow and mass cytometry experiments

BMC Bioinformatics, 2021
Background Flow and mass cytometry are important modern immunology tools for measuring expression levels of multiple proteins on single cells. The goal is to better understand the mechanisms of responses on a single cell basis by studying differential ...
Christof Seiler, Anne-Maud Ferreira, Lisa M. Kronstad, Laura J. Simpson, Mathieu Le Gars, Elena Vendrame, Catherine A. Blish, Susan Holmes   +7 more
doaj   +1 more source

Building flexible regression models: including the Birnbaum-Saunders distribution in the gamlss package

Semina: Ciências Exatas e Tecnológicas, 2021
Generalized additive models for location, scale and shape (GAMLSS) are a very flexible statistical modeling framework, being an important generalization of the well-known generalized linear models and generalized additive models.
Fernanda V. Roquim, Thiago G. Ramires, Luiz R. Nakamura, Ana J. Righetto, Renato R. Lima, Rayne A. Gomes   +5 more
doaj   +1 more source

Truthful Generalized Linear Models

CoRR, 2022
To appear in The 18th Conference on Web and Internet Economics (WINE 2022)
Yuan Qiu 0012, Jinyan Liu, Di Wang 0015
openaire   +2 more sources