Results 191 to 200 of about 54,345 (310)

Package ‘bayesvl’: Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with ‘Stan’

, 2019
Viet‐Phuong La, Quan‐Hoang Vuong
openalex   +1 more source

Drivers of Host–Pathogen Community Assemblages in European Forests and Urban Green Spaces

Integrative Zoology, EarlyView.
ABSTRACT Despite advances in understanding infectious diseases, the persistence and re‐emergence of wildlife pathogens continue to raise public and veterinary health concerns. This study investigates the relationship between biodiversity and rodent‐borne diseases in Europe, focusing on habitat alterations and their impact on rodent diversity.
Vincent Sluydts, Marie Bouilloud, Maxime Galan, Hussein Alburkat, Anaïs Bordes, Vincent Bourret, Valeria Colombo, Luc DeBruyn, Lara Dutra, Jana Eccard, Jasmin Firozpoor, Romain Gallet, Maciej Grzybek, Heikki Henttonen, Jens Jacob, Andrew McManus, Tarja Sironen, Peter Stuart, Caroline Tatard, Benjamin Roche, Herwig Leirs, Nathalie Charbonnel   +21 more
wiley   +1 more source

Characterization of Parameter Uncertainty in Global Analysis for Ultrafast Spectroscopy Using Markov Chain Monte Carlo Sampling. [PDF]

Precis Chem
Bailey-Darland S, Lancaster LS, Krueger TD, Chen C, Fang C.   +4 more
europepmc   +1 more source

Osteological, Biological, and Genetic Consequences of Colonization of Fresh Waters by Marine Cottoid Fishes (Cottidae)

Integrative Zoology, EarlyView.
Lacustrine forms of Triglopsis from North American and European lakes are at different stages of evolution, making them a suitable model for testing hypotheses about evolutionary patterns and rates. An integrative analysis of morphological, genetic, and biological adaptations occurring in lacustrine forms of the genus Triglopsis was carried out.
Valentina G. Sideleva, Zakhar V. Zhidkov, Nataliia V. Annenkova, Alexander G. Ryumin, Danila A. Melentev   +4 more
wiley   +1 more source

Link prediction in ecological meta‐networks under extreme taxonomic bias

Methods in Ecology and Evolution, EarlyView.
Abstract Ecological networks offer powerful insights into community function but, without first characterizing these networks accurately, our ability to detect and interpret changes under environmental stress is limited. We develop an extension of the Covariate‐Informed Link Prediction (COIL) framework to reduce bias in ecological link prediction when ...
Jennifer N. Kampe, Camille M. M. DeSisto, David B. Dunson   +2 more
wiley   +1 more source

Toward Efficient and Accurate EMRI Parameter Estimation: A Machine Learning-Enhanced MCMC Framework. [PDF]

Research (Wash D C)
Liang B, Liu C, Song H, Lyu Z, Du M, Xu P, Luo Z, He S, Gu H, Zhao T, Liang M, Xu Y, Qiang LE, Sun M, Qian WL.   +14 more
europepmc   +1 more source

An EM/MCMC Markov-Switching GARCH Behavioral Algorithm for Random-Length Lumber Futures Trading [PDF]

Oscar V. De la Torre-Torres, José Álvarez‐García, María de la Cruz del Río‐Rama   +2 more
openalex   +1 more source

An efficient Bayesian phylogenetic approach for joint inference of continuous and discrete trait evolution under a state‐dependent Ornstein–Uhlenbeck model

Methods in Ecology and Evolution, EarlyView.
Abstract Macroevolutionary adaptation of a continuous trait to different discrete states across species can be modelled using a phylogenetic state‐dependent Ornstein–Uhlenbeck (OU) process. Existing inference methods face two challenges. First, although efficient likelihood algorithms for continuous trait evolution models exist, none have been ...
Priscilla Lau, Bjørn T. Kopperud, John T. Clarke, Dirk Metzler, Sebastian Höhna   +4 more
wiley   +1 more source

Hierarchical Bayesian Modelling Improves Microstructural Parameter Mapping in Diffusion and Exchange MRI Data. [PDF]

NMR Biomed
Powell E, Maskery M, Emsley HCA, Parkes LM, Parker GJM, Slator PJ.   +5 more
europepmc   +1 more source

Spatially realistic dynamic N‐mixture models

Methods in Ecology and Evolution, EarlyView.
Abstract Dispersal is a complex ecological process that can be driven by the abiotic environment, density‐dependent processes and species mobility. Traditionally, dispersal has been studied with capture‐based data that are often limited in space and time. More recently, spatial dynamic N‐mixture models (i.e.
Qing Zhao, Paige E. Howell, Erin Muths, Brent H. Sigafus, Blake R. Hossack, Christopher E. Latimer   +5 more
wiley   +1 more source