Prior choice and data requirements of Bayesian multivariate hierarchical models fit to tag‐recovery data: The need for power analyses
Sign Up to like & getrecommendations! Published in 2023 at "Ecology and Evolution"
DOI: 10.1002/ece3.9847
Abstract: Abstract Recent empirical studies have quantified correlation between survival and recovery by estimating these parameters as correlated random effects with hierarchical Bayesian multivariate models fit to tag‐recovery data. In these applications, increasingly negative correlation between… read more here.
Keywords: recovery data; hierarchical models; power; tag recovery ... See more keywords
Comparing hierarchical models via the marginalized deviance information criterion.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7649
Abstract: Hierarchical models are extensively used in pharmacokinetics and longitudinal studies. When the estimation is performed from a Bayesian approach, model comparison is often based on the deviance information criterion (DIC). In hierarchical models with latent… read more here.
Keywords: hierarchical models; information criterion; deviance information; criterion ... See more keywords
Bayesian Hierarchical Models as Tools to Evaluate the Association Between Groundwater Quality and the Occurrence of Type 2 Diabetes in Rural Saskatchewan, Canada
Sign Up to like & getrecommendations! Published in 2019 at "Archives of Environmental Contamination and Toxicology"
DOI: 10.1007/s00244-018-00588-4
Abstract: There is growing interest in the role of environmental exposures in the development of diabetes. Previous studies in rural Saskatchewan have raised concerns over drinking water contaminants, including arsenic, which has been identified as a… read more here.
Keywords: hierarchical models; water; bayesian hierarchical; health standards ... See more keywords
Normalization and pooling in hierarchical models of natural images
Sign Up to like & getrecommendations! Published in 2019 at "Current Opinion in Neurobiology"
DOI: 10.1016/j.conb.2019.01.008
Abstract: Divisive normalization and subunit pooling are two canonical classes of computation that have become widely used in descriptive (what) models of visual cortical processing. Normative (why) models from natural image statistics can help constrain the… read more here.
Keywords: hierarchical models; normalization pooling; image statistics; pooling hierarchical ... See more keywords
Natural element approximation of hierarchical models of plate-like elastic structures
Sign Up to like & getrecommendations! Published in 2020 at "Finite Elements in Analysis and Design"
DOI: 10.1016/j.finel.2020.103439
Abstract: Abstract Almost all the mesh-free methods are restricted to 2-D problems owing to the difficulty in generating 3-D grids. One effective way to overcome this limitation is to utilize the concept of hierarchical modeling for… read more here.
Keywords: hierarchical models; elastic structures; natural element; plate like ... See more keywords
Normal Binary Hierarchical Models
Sign Up to like & getrecommendations! Published in 2017 at "Experimental Mathematics"
DOI: 10.1080/10586458.2016.1142911
Abstract: ABSTRACT Each simplicial complex and integer vector yields a vector configuration whose combinatorial properties are important for the analysis of contingency tables. We study the normality of these vector configurations including a description of operations… read more here.
Keywords: binary hierarchical; vector; hierarchical models; normal binary ... See more keywords
Nonparametric scanning tests of homogeneity for hierarchical models with continuous covariates.
Sign Up to like & getrecommendations! Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13801
Abstract: In many applications of hierarchical models, there is often interest in evaluating the inherent heterogeneity in view of observed data. When the underlying hypothesis involves parameters resting on the boundary of their support space such… read more here.
Keywords: scanning tests; heterogeneity; nonparametric scanning; hierarchical models ... See more keywords
Scalable Target Marketing: Distributed Markov Chain Monte Carlo for Bayesian Hierarchical Models
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Marketing Research"
DOI: 10.1177/0022243720952410
Abstract: Many problems in marketing and economics require firms to make targeted consumer-specific decisions, but current estimation methods are not designed to scale to the size of modern data sets. In this article, the authors propose… read more here.
Keywords: hierarchical models; monte carlo; markov chain; distributed markov ... See more keywords
Predicting Verbal Learning and Memory Assessments of Older Adults Using Bayesian Hierarchical Models
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2022.855379
Abstract: Verbal learning and memory summaries of older adults have usually been used to describe neuropsychiatric complaints. Bayesian hierarchical models are modern and appropriate approaches for predicting repeated measures data where information exchangeability is considered and… read more here.
Keywords: hierarchical models; bayesian hierarchical; memory; psychology ... See more keywords
Direct and Hierarchical Models for Aggregating Spatially Dependent Catastrophe Risks
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DOI: 10.3390/risks7020054
Abstract: We present several fast algorithms for computing the distribution of a sum of spatially dependent, discrete random variables to aggregate catastrophe risk. The algorithms are based on direct and hierarchical copula trees. Computing speed comes… read more here.
Keywords: hierarchical models; risks direct; spatially dependent; direct hierarchical ... See more keywords
Tropical tree height and crown allometries for the Barro Colorado Nature Monument, Panama: a comparison of alternative hierarchical models incorporating interspecific variation in relation to life history traits
Sign Up to like & getrecommendations! Published in 2019 at "Biogeosciences"
DOI: 10.5194/bg-16-847-2019
Abstract: Abstract. Tree allometric relationships are widely employed for estimating forest biomass and production and are basic building blocks of dynamic vegetation models. In tropical forests, allometric relationships are often modeled by fitting scale-invariant power functions… read more here.
Keywords: hierarchical models; monument panama; barro colorado; tree height ... See more keywords