Markov Chain Monte Carlo

Parallel algorithms for Bayesian phylogenetic inference

Distributed Computing / Phylogenetics / Parallel & Distributed Computing / Markov Chain Monte Carlo / Maximum Likelihood / Parallel / Parallel Algorithm / Markov chain / Metropolis Algorithm / Beowulf Cluster / Bayesian Methods (MCMC) / Posterior distribution / Parallel / Parallel Algorithm / Markov chain / Metropolis Algorithm / Beowulf Cluster / Bayesian Methods (MCMC) / Posterior distribution

Parallel algorithms for Bayesian phylogenetic inference

Distributed Computing / Phylogenetics / Parallel & Distributed Computing / Markov Chain Monte Carlo / Maximum Likelihood / Parallel / Parallel Algorithm / Markov chain / Metropolis Algorithm / Beowulf Cluster / Bayesian Methods (MCMC) / Posterior distribution / Parallel / Parallel Algorithm / Markov chain / Metropolis Algorithm / Beowulf Cluster / Bayesian Methods (MCMC) / Posterior distribution

Parallel algorithms for Bayesian phylogenetic inference

Distributed Computing / Phylogenetics / Parallel & Distributed Computing / Markov Chain Monte Carlo / Maximum Likelihood / Parallel / Parallel Algorithm / Markov chain / Metropolis Algorithm / Beowulf Cluster / Bayesian Methods (MCMC) / Posterior distribution / Parallel / Parallel Algorithm / Markov chain / Metropolis Algorithm / Beowulf Cluster / Bayesian Methods (MCMC) / Posterior distribution

Parallel algorithms for Bayesian phylogenetic inference

Distributed Computing / Phylogenetics / Parallel & Distributed Computing / Markov Chain Monte Carlo / Maximum Likelihood / Parallel / Parallel Algorithm / Markov chain / Metropolis Algorithm / Beowulf Cluster / Bayesian Methods (MCMC) / Posterior distribution / Parallel / Parallel Algorithm / Markov chain / Metropolis Algorithm / Beowulf Cluster / Bayesian Methods (MCMC) / Posterior distribution

A fully Bayesian model to cluster gene-expression profiles

Bioinformatics / Algorithms / Artificial Intelligence / Gene expression / Biological Sciences / Computer Simulation / Mathematical Sciences / Markov Chain Monte Carlo / Cluster Analysis / Chip / Bayesian model / Missing Values / K Means / K means algorithm / Bayes Theorem / Speed of Convergence / Time Course / Gene expression profiling / Computer Simulation / Mathematical Sciences / Markov Chain Monte Carlo / Cluster Analysis / Chip / Bayesian model / Missing Values / K Means / K means algorithm / Bayes Theorem / Speed of Convergence / Time Course / Gene expression profiling

A fully Bayesian model to cluster gene-expression profiles

Bioinformatics / Algorithms / Artificial Intelligence / Gene expression / Biological Sciences / Computer Simulation / Mathematical Sciences / Markov Chain Monte Carlo / Cluster Analysis / Chip / Bayesian model / Missing Values / K Means / K means algorithm / Bayes Theorem / Speed of Convergence / Time Course / Gene expression profiling / Computer Simulation / Mathematical Sciences / Markov Chain Monte Carlo / Cluster Analysis / Chip / Bayesian model / Missing Values / K Means / K means algorithm / Bayes Theorem / Speed of Convergence / Time Course / Gene expression profiling

Nonparametric Dark Energy Reconstruction from Supernova Data

Probability Theory / Stochastic Process / Observational Cosmology / Dark Energy / Markov Chain Monte Carlo / Physical sciences / Gaussian Process / Equation of State / Physical sciences / Gaussian Process / Equation of State

Carex , subgenus Carex (Cyperaceae) ? A phylogenetic approach using ITS sequences

Evolutionary Biology / Plant Biology / Plant Systematics / Bayesian Analysis / Markov Chain Monte Carlo / Molecular phylogeny / Plant Systematics and Evolution / Northern Hemisphere / Support Group / Bayesian Methods (MCMC) / Molecular phylogeny / Plant Systematics and Evolution / Northern Hemisphere / Support Group / Bayesian Methods (MCMC)

Bayesian Identification of a Population Compartmental Model of C-Peptide Kinetics

Engineering / Biomedical Engineering / System Identification / Kinetics / Insulin Secretion / Markov Chain Monte Carlo / Cost effectiveness / Population Model / Kinetic Parameter / Reference Value / Bayes estimator / Bayesian framework / Markov Chain Monte Carlo / Cost effectiveness / Population Model / Kinetic Parameter / Reference Value / Bayes estimator / Bayesian framework

Exploring parameter constraints on quintessential dark energy: The Albrecht-Skordis model

Quantum Physics / Observational Cosmology / Dark Matter / Dark Energy / Markov Chain Monte Carlo / Power Law / Monte Carlo Markov Chain / Quintessence / Cosmological Constant / Data Model / Sampling Technique / Markov Process / Equation of State / Monte Carlo Method / Elementary Particles / Power Law / Monte Carlo Markov Chain / Quintessence / Cosmological Constant / Data Model / Sampling Technique / Markov Process / Equation of State / Monte Carlo Method / Elementary Particles

Non-parametric Bayesian Estimation of a Spatial Poisson Intensity

Statistics / Markov Chain Monte Carlo / Voronoi Tessellations / Bayesian Estimator

Bayesian phylogenetic inference using DNA sequences: a Markov Chain Monte Carlo Method

Evolutionary Biology / Genetics / Algorithms / Sequence Analysis / Bayesian Analysis / Primates / Phylogeny / Mitochondrial DNA / Markov Chain Monte Carlo / Animals / Molecular biology and evolution / Molecular phylogeny / Markov chain monte carlo methods / Phylogenetic Tree / Bayes Theorem / Monte Carlo Method / Biochemistry and cell biology / Bayesian Estimator / DNA sequence / Primates / Phylogeny / Mitochondrial DNA / Markov Chain Monte Carlo / Animals / Molecular biology and evolution / Molecular phylogeny / Markov chain monte carlo methods / Phylogenetic Tree / Bayes Theorem / Monte Carlo Method / Biochemistry and cell biology / Bayesian Estimator / DNA sequence

A finite element model for protein transport in vivo

Biomedical Engineering / Time Series / Biomedical / Finite Element Analysis / Numerical Simulation / Computer Simulation / Mice / Markov Chain Monte Carlo / Animals / Long Range / Mass Transport / PARTIAL DIFFERENTIAL EQUATION / Inverse Problem / Diffusion Coefficient / Inverse Modeling / Finite Element Model / Development Strategy / Reaction Rate / Parameter Optimization / fluorescence recovery after photobleaching (FRAP) / Bayesian Methods (MCMC) / Normal Distribution / Protein Transport / Adenocarcinoma / Computer Simulation / Mice / Markov Chain Monte Carlo / Animals / Long Range / Mass Transport / PARTIAL DIFFERENTIAL EQUATION / Inverse Problem / Diffusion Coefficient / Inverse Modeling / Finite Element Model / Development Strategy / Reaction Rate / Parameter Optimization / fluorescence recovery after photobleaching (FRAP) / Bayesian Methods (MCMC) / Normal Distribution / Protein Transport / Adenocarcinoma

A Loss function approach to identifying environmental exceedances

Engineering / Environmental Science / Economics / Bayesian Analysis / Mathematical Sciences / Markov Chain Monte Carlo / Nitrogen / Extremes / Chesapeake Bay / Bayesian hierarchical model / Tagucghi Loss Function / Cumulative distribution function / Markov Chain Monte Carlo / Nitrogen / Extremes / Chesapeake Bay / Bayesian hierarchical model / Tagucghi Loss Function / Cumulative distribution function

A Robust Conflict Measure of Inconsistencies in Bayesian Hierarchical Models

Statistics / Markov Chain Monte Carlo / Bayesian hierarchical model / Analysis of Variance / Stochastic system / Indexation

A full-factor multivariate GARCH model

Econometrics / Parameter estimation / Markov Chain Monte Carlo / Multivariate Time Series / Model Selection / Rate of return / Model Composition / Model Uncertainty / Bayesian Model Averaging / Time varying / Rate of return / Model Composition / Model Uncertainty / Bayesian Model Averaging / Time varying

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