Results 241 to 250 of about 112,632 (333)
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
Food Subsidies Reduce Livestock Depredations by a Recovering Carnivore
Diversionary feeding—providing food caches to divert predators away from preying on livestock—is a strategy to reduce depredations by Mexican gray wolves but has not been evaluated for its effectiveness. We used data from the Mexican wolf recovery program from 2014‐2021 to evaluate whether diversionary feeding reduced livestock depredations by wolf ...
Matthew Hyde +8 more
wiley +1 more source
A diagram of the integrated species distribution model of river otter intensity of use. Three types of data (latrine detections, roadkill detections, and detection/nondetection surveys) are linked by different observation processes to the same underlying intensity of use.
John G. Crockett +2 more
wiley +1 more source
Bayesian Multiple Emitter Fitting using Reversible Jump Markov Chain Monte Carlo. [PDF]
Fazel M +8 more
europepmc +1 more source
Evaluation of uncertainty quantification of ensemble-based Kalman filters with Markov chain Monte Carlo [PDF]
Saman Jahanbakhshi
openalex +1 more source
Abstract The timing and amount of rainfall are crucial in forage growth. Producer perceptions of the rainfall distribution are likely to influence their choices related to the Pasture, Rangeland, and Forage Rainfall Index insurance program. Because of the scarcity of forage production data, diversity of forage production systems, and climates ...
Brittney Goodrich +3 more
wiley +1 more source
Estimation of Daily Smoking Prevalence for Disaggregated Statistical Areas in Australia
ABSTRACT Motivated by the need to estimate prevalence at multiple disaggregated level hierarchies, rather than only one, this study extends widely used area‐level models in Bayesian and frequentist framework. We propose adding additional unstructured random effects at higher level disaggregated domains to the traditional models. Using our extension, we
Sumonkanti Das +4 more
wiley +1 more source

