Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7
Bayesian inference of phylogeny using Markov chain Monte Carlo (MCMC) plays a central role in understanding evolutionary history from molecular sequence data. Visualizing and an...
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Bayesian inference of phylogeny using Markov chain Monte Carlo (MCMC) plays a central role in understanding evolutionary history from molecular sequence data. Visualizing and an...
Section 1: Conversion Factors and Mathematical Symbols Section 2: Physical and Chemical Data Section 3: Mathematics Section 4: Thermodynamics Section 5: Heat and Mass Transfer S...
Governmental rationality - an introduction, Colin Gordon politics and study of discourse, Michel Foucault questions of method, Michel Foucault governmentality, Michel Foucault ...
Two Monte Carlo studies were conducted to examine the sensitivity of goodness of fit indexes to lack of measurement invariance at 3 commonly tested levels: factor loadings, inte...
El uso de vóxeles en aplicaciones interactivas se aplica desde hace décadas, con múltiples maneras de implementación de acuerdo al hardware para el que se desarrollaba y los obj...
Most papers that employ Differences-in-Differences estimation (DD) use many years of data and focus on serially correlated outcomes but ignore that the resulting standard errors...
Abstract Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite mixture models' usefulness in practice, ...
Most current speech recognition systems use hidden Markov models (HMMs) to deal with the temporal variability of speech and Gaussian mixture models (GMMs) to determine how well ...
THE growth of solid neoplasms is always accompanied by neovascularization. This new capillary growth is even more vigorous and continuous than a similar outgrowth of capillary s...
Amazon’s Mechanical Turk (MTurk) is a relatively new website that contains the major elements required to conduct research: an integrated participant compensation system; a larg...