Bayesian Causal Relation Effect in Quantiles Regression Models
Adewole A. Ayoade +2 more
openalex +2 more sources
Rigorous state‐wide monitoring programs are lacking for dusky grouse Dendragapus obscurus, a North American species of forest grouse with relatively low detectability that is found in coniferous and mountainous areas in the western United States and Canada.
Elizabeth A. Leipold +2 more
wiley +1 more source
Variational Bayesian EM Algorithm for Quantile Regression in Linear Mixed Effects Models
This paper extends the normal-beta prime (NBP) prior to Bayesian quantile regression in linear mixed effects models and conducts Bayesian variable selection for the fixed effects of the model.
Weixian Wang, Maozai Tian
doaj +1 more source
Estimating crippling loss from hunting with multistate models: a case study on northern bobwhites
Hunting as a recreational pursuit provides an important ecosystem service worldwide. Harvest management plays a vital role in regulating wildlife take to ensure long‐term population sustainability and meet value‐based objectives (e.g. hunter satisfaction). However, managers rarely have complete control or observability of harvest mortality.
Amanda S. Cramer +10 more
wiley +1 more source
Warming increases trophic cascade strength in an aquatic food chain
Using experiments and Bayesian dynamical modelling, we demonstrate that warming strengthens trophic cascades in an aquatic food chain through coordinated, temperature‐dependent shifts in predator, prey and resource traits. By tracing indirect effects to underlying mechanisms, our study shows how climate change can amplify predator impacts and ...
Francis P. Biagioli +4 more
wiley +1 more source
Bayesian Quantile Regression with Adaptive Elastic Net Penalty for Longitudinal Data
Longitudinal studies include the important parts of epidemiological surveys, clinical trials and social studies. In longitudinal studies, measurement of the responses is conducted repeatedly through time.
A Aghamohammadi, S Mohammadi
doaj
The Joint Impact of Heavy Metals and Polycyclic Aromatic Hydrocarbons on Periodontitis
Objective: Heavy metals (HMs) and polycyclic aromatic hydrocarbons (PAHs) are significant environmental pollutants, raising growing concerns about their potential impact on human health, particularly oral health.
Ziqiu Fan +4 more
doaj +1 more source
Abstract We estimate the price impact of very nearby concurrently listed properties in the Sydney housing market and assess their competition effects. We apply a hedonic model with spatiotemporal effects regularized via a graph Laplacian prior at the month‐by‐SA2 regional level to seven SA4 subregions of metropolitan Sydney. The model structure enables
Willem P. Sijp, Mengheng Li
wiley +1 more source
Correction to "Risk factors based vessel-specific prediction for stages of coronary artery disease using Bayesian quantile regression machine learning method: Results from the PARADIGM registry". [PDF]
europepmc +1 more source
A latent class based imputation method under Bayesian quantile regression framework using asymmetric Laplace distribution for longitudinal medication usage data with intermittent missing values. [PDF]
Lee M +5 more
europepmc +1 more source

