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Data from: A local evaluation of the individual state-space to scale up Bayesian spatial capture recapture
负责人:
Milleret, Cyril
关键词:
SCR abundance local evaluation of state space
DOI:
doi:10.5061/dryad.42m96c8
摘要:
ot be addressed with traditional non-spatial methods. Bayesian approaches in particular offer tremendous flexibility for SCR modelling. Increasingly, SCR data ar
Data from: Bayesian model selection with BAMM: effects of the model prior on the inferred number of diversification shifts
负责人:
关键词:
BAMM;Macroevolution;bayesian analysis
DOI:
doi:10.5061/dryad.0564q
摘要:
ny hypotheses about macroevolutionary processes. BAMM is a flexible Bayesian framework for inferring the number and location of shifts in macroevolutionary
Data from: Mitochondrial phylogeny of the Chrysis ignita (Hymenoptera: Chrysididae) species group based on simultaneous Bayesian al
负责人:
关键词:
Chrysis ignita
DOI:
doi:10.5061/dryad.8984
摘要:
-likelihood analyses were performed to test the robustness of the Bayesian approaches. Although all approaches yielded trees with similar topology, consi
Data from: Bayesian morphological clock methods resurrect placoderm monophyly and reveal rapid early evolution in jawed vertebrates
负责人:
关键词:
placoderms;Monophyly;morphology;tip dating;tree topology;Bayesian;phylogenetics;Morphological clock;BEAST
DOI:
doi:10.5061/dryad.v30f1
摘要:
milar way to parsimony-informative traits, thus ensuring this data (unlike most existing morphological data sets) satisfied an important assumption of Bayesian tip-dated
Data from: The role of glacial?interglacial climate change in shaping the genetic structure of eastern subterranean termites
负责人:
关键词:
postglacial expansion;demographic history;evolutionary history;Holocene;Reticulitermes flavipes;approximate Bayesian computation;species distribution modeling;phylogeography;Pleistocene
DOI:
doi:10.5061/dryad.5hr7f31
摘要:
?beta?1,4?glucanase) DNA sequence data. To do this, genetic populations were delineated using Bayesian spatial?genetic clustering, competing hypotheses
Data from: Phylogenetic inference and divergence dating of snakes using molecules, morphology and fossils: new insights into convergent evolution
负责人:
关键词:
Total Evidence;limb loss;Bayesian phylogenetics;relaxed clock;Macrostomata;Serpentes;ancestral state reconstruction;Ophidia
DOI:
doi:10.5061/dryad.cm603
摘要:
Bayesian divergence time analyses were used to simultaneously infer the phylogenetic relationships and date the major clades of snakes including several
Data from: Bayesian clustering analyses for genetic assignment and study of hybridization in oaks: effects of asymmetric phylogenies and asymmetric
负责人:
关键词:
microsatellites;Quercus robur;structure;Simulation;Bayesian clustering;BAPS;Quercus pubescens;Quercus petraea
DOI:
doi:10.5061/dryad.b64b4
摘要:
of phylogenetic relationships and sampling scheme on the inferred clustering solution and on the performance of Bayesian clustering analysis, I simulated genotypes of the interfertile oak species
Data from: Causal reasoning in rats' behaviour systems
负责人:
关键词:
Bayesian networks;Rattus norvegicus;cognitive modelling;causal reasoning;behaviour systems;Causal Model Theory
DOI:
doi:10.5061/dryad.20h4r
摘要:
assumptions, with formal help from Bayesian Networks, self-production of the Tone should reduce expectation of alternative causes, including Light, and thei
Data from: Motion analysis of non-model organisms using a hierarchical model: influence of setup enclosure dimensions on gait parameters of Swinhoe
负责人:
关键词:
generalized linear model;Bayesian statistics;PyMC3;None;Motion analysis;Tamiops swinhoei;Python
DOI:
doi:10.5061/dryad.10rn5
摘要:
ed significant differences in some of the parameters depending on enclosure dimensions. In contrast, we used a hierarchical Bayesian generalized linear model (GLM) tha
Data from: Bayesian species delimitation combining multiple genes and traits in a unified framework
负责人:
关键词:
Bayesian phylogenetic analysis;Brownian motion;BPP;gene flow;species delineation;speciation
DOI:
doi:10.5061/dryad.4gf03
摘要:
ng these key questions. Because both phenotypic and molecular data can be analyzed in a common Bayesian framework with our program iBPP, we can compare

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