Results 151 to 160 of about 186,613 (269)
Mathematical Analysis for a Class of Stochastic Copolymerization Processes. [PDF]
Anderson DF, Ma J, Gagrani P.
europepmc +1 more source
We decode mitochondrial genomes across all extant canids, revealing lineage‐specific codon optimization driven by altitude, predation, and body size. A tripartite framework integrates geological events, metabolic constraints, and adaptive radiation to explain carnivore evolution.
Xiaoyang Wu +8 more
wiley +1 more source
Addressing ecological challenges from a quantum computing perspective
Abstract With increased access to data and the advent of computers, the use of statistical tools and numerical simulations is becoming commonplace for ecologists. These approaches help improve our understanding of ecological phenomena and their underlying mechanisms in increasingly complex environments.
Maxime Clenet +2 more
wiley +1 more source
Inferring state‐dependent diversification rates using approximate Bayesian computation
Abstract State‐dependent speciation and extinction (SSE) models are a popular framework for quantifying whether species traits have an impact on evolutionary rates and how this shapes the variation in species richness among clades in a phylogeny.
Shu Xie, Luis Valente, Rampal S. Etienne
wiley +1 more source
Coclique level structure for stochastic chemical reaction networks. [PDF]
Bruno S +4 more
europepmc +1 more source
ABSTRACT The cuticle and medulla of guard hairs exhibit distinct morphological patterns among mammalian species. To investigate this variability in marsupials from the Brazilian Amazon, we analysed guard hairs from nine Didelphimorphia species and incorporated data from an additional 25 didelphid species.
Matheus M. Bitencourt +4 more
wiley +1 more source
A tutorial on Bayesian model averaging for exponential random graph models
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo +2 more
wiley +1 more source
A Bayes factor framework for unified parameter estimation and hypothesis testing
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source
Abstract The stationary autoregressive model forms an important base of time‐series analysis in today's psychology research. Diverse nonstationary extensions of this model are developed to capture different types of changing temporal dynamics. However, researchers do not always have a solid theoretical base to rely on for deciding a‐priori which of ...
Yong Zhang +4 more
wiley +1 more source

