Results 141 to 150 of about 3,428,862 (283)
BayesX: Analyzing Bayesian Structural Additive Regression Models [PDF]
There has been much recent interest in Bayesian inference for generalized additive and related models. The increasing popularity of Bayesian methods for these and other model classes is mainly caused by the introduction of Markov chain Monte Carlo (MCMC)
Andreas Brezger +2 more
core
Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions
Canadian Journal of Statistics, EarlyView.Abstract Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of regression models including ...
Pengqi Liu, Abbas Khalili
wiley +1 more source
Canadian Journal of Statistics, EarlyView.Abstract Irregular observation times are common in longitudinal observational studies and can affect causal inferences. We use data from electronic health records of Kaiser Permanente Washington patients in the United States who initiated an antidepressant medication between 2008 and 2018, with a confirming diagnosis of depression. We are interested in
Janie Coulombe +2 more
wiley +1 more source
Scientific ReportsThe Poisson-Inverse Gaussian regression model is a widely used method for analyzing count data, particularly in over-dispersion. However, the reliability of parameter estimates obtained through maximum likelihood estimation in this model can be ...
Fatimah A. Almulhim +5 more
doaj +1 more source
Clinical Pharmacology &Therapeutics, EarlyView.Pain and fever are common in pregnancy. Dipyrone is widely used in Europe, Latin America, and parts of Asia, but is banned in other countries due to concerns about agranulocytosis. Evidence on its safety in pregnancy remains limited and inconsistent. This study aimed to evaluate whether maternal dipyrone use during the first‐ and third‐trimesters is ...
Itamar Ben Shitrit +7 more
wiley +1 more source
Nonparametric estimation of mean and dispersion functions in extended generalized linear models. [PDF]
In this paper the interest is in regression analysis for data that show possibly overdispersion or underdispersion. The starting point for modeling are generalized linear models in which we no longer admit a linear form for the mean regression function ...
Prosdocimi, Ilaria +2 more
core
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study analyzes the evolution of Sustainable Development Goal (SDG) disclosure among IBEX 35 companies between 2018 and 2023, combining natural language processing for disclosure measurement with negative binomial generalized linear mixed models incorporating financial and governance controls.
Francisco Aguado‐Correa +5 more
wiley +1 more source
Assessment of length of stay in a general surgical unit using a zero-inflated generalized Poisson regression. [PDF]
Med J Islam Repub Iran, 2017 Farhadi Hassankiadeh R +4 more
europepmc +1 more source
Some autoregressive moving average processes with generalized Poisson marginal distributions
Generalized Poisson process, regression, time reversibility, quasi-binomial distribution, quasi-multinomial distribution, vector AR(1) process,
A. Alzaid, M. Al-Osh
core +1 more source
Deep Underground Science and Engineering, EarlyView.Through shear–tensile creep tests and viscoelastic modeling, the fracture evolution of thick soft protective layers is clarified. Results show thickness‐dependent rheological failure modes that govern four types of roof water inrush, providing a mechanism‐based framework for hazard prediction and control. Abstract In the Jurassic coal‐bearing strata of
Mengnan Liu +4 more
wiley +1 more source