Amanote Research
Register
Sign In
Figure 2: Posterior Approximation of Phylogenetic Model Parameters Using Full-Rank Variational Inference (Phylostan), NUTS (Phylostan), and Metropolis-Hastings (BEAST2) Algorithms on the Influenza a Virus Dataset.
doi 10.7717/peerj.8272/fig-2
Full Text
Open PDF
Abstract
Available in
full text
Date
Unknown
Authors
Unknown
Publisher
PeerJ
Related search
Figure 1: Posterior Approximation of Phylogenetic Model Parameters Using Mean-Field Variational Inference (Phylostan), NUTS (Phylostan), and Metropolis-Hastings (BEAST2) Algorithms on the Influenza a Virus Dataset.
Non Linear Mixed Effects Models: Bridging the Gap Between Independent Metropolis Hastings and Variational Inference
EasyChair Preprints
Figure 3: Posterior Medians (Solid Black Lines) of Effective Population Sizes and Associated 95% Credible Intervals (Blue Shaded Areas) for the HCV Dataset Using BEAST (A) and Phylostan (B–D).
A Model for Phylogenetic Inference Using Structural and Chemical Covariates
A Metropolis-Hastings Sampling of Subtrees in Graphs
Austrian Journal of Statistics
Uncertainty
Applied Mathematics
Statistics
Probability
Majorize-Minimize Adapted Metropolis-Hastings Algorithm
IEEE Transactions on Signal Processing
Electronic Engineering
Signal Processing
Electrical
Inference Under a Wright-Fisher Model Using an Accurate Beta Approximation
Genetics
Genetics
Figure 3: Phylogenetic Consensus Tree Constructed Using Bayesian Inference Algorithm.
Figure 3: Phylogenetic Results Based on the 80 Character Morphological Dataset.
