Results 191 to 200 of about 539,449 (277)
Bayesian model selection for longitudinal random effects models
, 2020 The popularity of the mixed model can be explained by its flexibility in modelling complex hierarchical data. Since the introduction of the basic mixed models—the linear mixed model (LMM), generalized linear mixed model (GLMM) and non-linear mixed model (NLMM)—a great variety of extensions have been suggested.
openaire +2 more sources
Return and Volatility Spillovers Among Major Cotton Markets
Agribusiness, EarlyView.ABSTRACT This study explores return and volatility transmission among major cotton markets. Several events have disrupted cotton supply and demand in recent years, leading to heightened price volatility and significant shifts in market interconnections.
Susmitha Kalli +3 more
wiley +1 more source
Consumer Preferences for Craft Beer: The Interplay of Localness and Advertising Language
Agribusiness, EarlyView.ABSTRACT This study explores the influence of the language of the label, origin of production, and origin of brewing ingredients on Croatian consumers' preferences and willingness to pay for organic craft beer. Employing an online survey and a choice experiment among 223 Croatian alcohol consumers, we find that while there's a willingness to pay a ...
Marija Cerjak +2 more
wiley +1 more source
Agribusiness, EarlyView.ABSTRACT The US hemp market is a new and nascent industry that has been devoid of research for about half a century. This study examined the effects of exogenous shock on price at each phase of the value chain—Farm (hemp biomass), and its impact on prices at other phases of the value chain—Intermediary Processor (crude cannabidiol hemp) and Final ...
Solomon Odiase +2 more
wiley +1 more source
A Bayesian model selection approach for identifying differentially expressed transcripts from RNA sequencing data. [PDF]
J R Stat Soc Ser C Appl Stat, 2018 Papastamoulis P, Rattray M.
europepmc +1 more source
Annals of Gastroenterological Surgery, EarlyView.We retrospectively analyzed clinical data from patients who underwent hepatectomy for hepatocellular carcinoma (HCC) using LCA‐based grading system. These findings provide a new risk stratification framework for the design of precision surgery to treat patients with HCC.
Ling Liu +5 more
wiley +1 more source
Bayesian model selection methods in modeling small area colon cancer incidence. [PDF]
Ann Epidemiol, 2016 Carroll R +5 more
europepmc +1 more source
A multiscale Bayesian optimization framework for process and material codesign
AIChE Journal, EarlyView.Abstract The simultaneous design of processes and enabling materials such as solvents, catalysts, and adsorbents is challenging because molecular‐ and process‐level decisions are strongly interdependent. Sequential approaches often yield suboptimal results since improvements in material properties may not translate into superior process performance. We
Michael Baldea
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Accounting for cell lineage and sex effects in the identification of cell-specific DNA methylation using a Bayesian model selection algorithm. [PDF]
PLoS One, 2017 White N +6 more
europepmc +1 more source