Results 81 to 90 of about 570,704 (178)

Insights to HIV-1 coreceptor usage by estimating HLA adaptation with Bayesian generalized linear mixed models. [PDF]

PLoS Comput Biol, 2023
Hake A, Germann A, de Beer C, Thielen A, Däumer M, Preiser W, von Briesen H, Pfeifer N.   +7 more
europepmc   +1 more source

Analyzing Decision-Making in Cognitive Agent Simulations Using Generalized Linear Mixed-Effects Models

Mathematics
Enhancing model interpretability remains an ongoing challenge in predictive modelling, especially when applied to simulation data from complex systems.
Shengkun Xie, Chong Gan, Anna T. Lawniczak   +2 more
doaj   +1 more source

BG2: Bayesian variable selection in generalized linear mixed models with nonlocal priors for non-Gaussian GWAS data. [PDF]

BMC Bioinformatics, 2023
Xu S, Williams J, Ferreira MAR.
europepmc   +1 more source

Fair Generalized Linear Mixed Models

When using machine learning for automated prediction, it is important to account for fairness in the prediction. Fairness in machine learning aims to ensure that biases in the data and model inaccuracies do not lead to discriminatory decisions. E.g., predictions from fair machine learning models should not discriminate against sensitive variables such ...
Burgard, Jan Pablo, Pamplona, João Vitor   +1 more
openaire   +2 more sources

General and Generalized Linear Mixed Models

, 2014
General and Generalized Linear Mixed Models workshop slides (code and data available here: http://dx.doi.org/10.6084/m9.figshare.1243184)
openaire   +1 more source

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   +1 more source

Analyzing dynamic species abundance distributions using generalized linear mixed models. [PDF]

Ecology, 2022
Solbu EB, van der Veen B, Herfindal I, Hovstad KA.   +3 more
europepmc   +1 more source

Efficient penalized generalized linear mixed models for variable selection and genetic risk prediction in high-dimensional data. [PDF]

Bioinformatics, 2023
St-Pierre J, Oualkacha K, Bhatnagar SR.
europepmc   +1 more source

Marginal inference for hierarchical generalized linear mixed models with patterned covariance matrices using the Laplace approximation. [PDF]

Environmetrics, 2022
Ver Hoef JM, Blagg E, Dumelle M, Dixon PM, Zimmerman DL, Conn PB.   +5 more
europepmc   +1 more source

A privacy-preserving and computation-efficient federated algorithm for generalized linear mixed models to analyze correlated electronic health records data. [PDF]

PLoS One, 2023
Yan Z, Zachrison KS, Schwamm LH, Estrada JJ, Duan R.   +4 more
europepmc   +1 more source