Bayesian Phylogenetic Analysis of Combined Data

Bayesian phylogenetic analysis of combined data.

The recent development of Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) techniques has facilitated the exploration of parameter-rich evolutionary models. At the same time, stochastic models have become more realistic (and complex) and have been extended to new types of data, such as morphology. Based on this foundation, we developed a Bayesian MCMC approach to the analys...

Bayesian Prediction in Spatial Data Analysis

Bayesian Analysis of Survival Data with Spatial Correlation

Often in practice the data on the mortality of a living unit correlation is due to the location of the observations in the study‎. ‎One of the most important issues in the analysis of survival data with spatial dependence‎, ‎is estimation of the parameters and prediction of the unknown values in known sites based on observations vector‎. ‎In this paper to analyze this type of survival‎, ‎Cox...

Analysis of Phylogenetic Profiles Using Bayesian Decomposition

Antibiotic resistance together with the side effects of broad spectrum antibacterials make development of targeted antibiotics of great interest. To meet the problem of identifying potential targets specific to some genuses, a dataset comprising a series of phylogenetic profiles was built for a series of pathogenic bacteria of interest. The profiles are the highest BLAST scores for genes compar...

Separate Versus Combined Analysis of Phylogenetic Evidence

There has been much discussion in the recent systematic literature over whether different data sets bearing on phylogenetic relationships should be analyzed separately or combined and analyzed simultaneously. We review arguments in favor of each of these views. Assuming that the goal is to uncover the true phylogeny of the entities in question, arguments for combining data based on the notions ...