Results 131 to 140 of about 44,356 (305)
Bayesian Causal Relation Effect in Quantiles Regression Models
, 2022 Adewole A. Ayoade +2 more
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Power priors for latent variable mediation models under small sample sizes
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Latent variable models typically require large sample sizes for acceptable efficiency and reliable convergence. Appropriate informative priors are often required for gainfully employing Bayesian analysis with small samples. Power priors are informative priors built on historical data, weighted to account for non‐exchangeability with the ...
Lihan Chen +2 more
wiley +1 more source
Differences in characteristics between naturalized threatened plants and other threatened plants
Conservation Biology, EarlyView.Abstract Many non‐native plant species introduced by humans have become naturalized. At the same time many species are threatened in their native range. However, the number of plant species threatened in their native range that are naturalized elsewhere remains unknown.
Weihan Zhao +10 more
wiley +1 more source
How do ecologists estimate occupancy in practice?
Ecography, EarlyView.Over 20 years ago, ecologists were introduced to the site occupancy model (SOM) for estimating occupancy rates from detection‐nondetection data. In the ensuing decades, the SOM and its hierarchical modeling extensions have become mainstays of quantitative ecology, and estimating occupancy rates has become one of the most common applications of ...
Benjamin R. Goldstein +9 more
wiley +1 more source
Variational Bayesian EM Algorithm for Quantile Regression in Linear Mixed Effects Models
MathematicsThis 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
The Impact of Risk Exposure and Environmental Conditions on European Banking Efficiency
European Financial Management, EarlyView.ABSTRACT This study investigates the determinants of bank cost efficiency in Europe by applying a dynamic Bayesian stochastic frontier approach. We distinguish between two conceptually and empirically separate components of efficiency: (1) an intrinsic component, driven by internal bank features such as size and risk exposure, and (2) an extrThis study
Pilar Gargallo +2 more
wiley +1 more source
On Bayesian quantile regression and outliers
, 2016 In this work we discuss the progress of Bayesian quantile regression models since their first proposal and we discuss the importance of all parameters involved in the inference process. Using a representation of the asymmetric Laplace distribution as a mixture of a normal and an exponential distribution, we discuss the relevance of the presence of a ...
Santos, Bruno, Bolfarine, Heleno
openaire +2 more sources
ESG Thematic Bonds in Emerging Markets: Risk, Uncertainty, and Ambiguity
European Financial Management, EarlyView.ABSTRACT We examine the impact of risk aversion, ambiguity, and uncertainty (geopolitical and economic) on the ESG thematic bond markets in emerging countries. We analyze ESG sovereign (both USD and local currency denominated) and corporate bond markets on the aggregate and regional levels.
Nebojsa Dimic +3 more
wiley +1 more source
The Joint Impact of Heavy Metals and Polycyclic Aromatic Hydrocarbons on Periodontitis
International Dental JournalObjective: 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
bqror: An R package for Bayesian Quantile Regression in Ordinal Models [PDF]
, 2021 Prajual Maheshwari +1 more
openalex +1 more source