Results 161 to 170 of about 11,564,802 (285)
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Soil food web models are essential for linking animal diversity to carbon and nutrient cycling. However, it is unclear how soil animals regulate excess carbon when nutrient availability limits their growth and how to best represent animal respiration in these models. To
Robert W. Buchkowski +8 more
wiley +1 more source
Improved use of deep soil water promotes radial growth during drought
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Increasingly frequent seasonal droughts under rapid climate change threaten the growth stability of subtropical mixed forests across the mid‐subtropical monsoon region.
Ziqiang Liu +4 more
wiley +1 more source
Journal of Forensic Sciences, EarlyView.Abstract Skeletal age estimation is crucial to medicolegal work, aiding subadult identification, and living age assessments in legal contexts. This study aims to document the ontogeny of knee skeletal indicators on post‐mortem computed tomography (PMCT), and quantify interpopulation variation between modern American and Australian children.
Taliah Swart +4 more
wiley +1 more source
The nested joint clustering via Dirichlet process mixture model. [PDF]
J Stat Comput Simul, 2019 Han S, Zhang H, Sheng W, Arshad H.
europepmc +1 more source
Estimating absolute DNA abundance from replicated metabarcoding
Methods in Ecology and Evolution, EarlyView.Abstract Datasets derived from mixed‐template DNA amplification and sequencing (‘metabarcoding’) are common in environmental DNA (eDNA), microbiome or microbial ecology analyses. Such metabarcoding data have been broadly used to inform estimates of biodiversity, distribution and abundance across a wide range of species and habitats.
Andrew Olaf Shelton +6 more
wiley +1 more source
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley +1 more source
A Dirichlet process mixture model for clustering longitudinal gene expression data. [PDF]
Stat Med, 2017 Sun J +4 more
europepmc +1 more source
On choosing the centering distribution in Dirichlet process mixture models
We present two results that pertain to the choosing of the centering distribution in a Bayesian setup with a Dirichlet process mixture prior based on Gaussian kernels.
Hanson, Timothy +2 more
core
LLM‐based prior elicitation for Bayesian graphical modeling
British Journal of Mathematical and Statistical Psychology, EarlyView.ABSTRACT In the Bayesian graphical modeling framework, priors on network structure encode theoretical assumptions and uncertainty about the topology of psychological constructs under study. For instance, the Bernoulli prior specifies the probability of each pairwise interaction, the Beta–Bernoulli prior governs expected network density, and the ...
Nikola Sekulovski +2 more
wiley +1 more source
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Cognitive diagnostic models (CDMs) have become essential tools for providing fine‐grained information about individuals' mastery of cognitive skills. While prior reviews have emphasized statistical foundations and deep learning‐based developments, this article focuses on recent methodological innovations designed to address persistent ...
Chun Wang, Yale Quan, David Arthur
wiley +1 more source