Are Gibbs–type priors the most natural generalization of the Dirichlet process? P. De Blasi1 , S. Favaro1 , A. Lijoi2 , R.H. Mena3 , I. Pr¨ unster1 and M. Ruggiero1 1

Source URL: www.matteoruggiero.it

Resources Bulletin June 2016 NWCOLORADOBUSINESS.ORG Please share this with your networks!

Source URL: nwcoloradobusiness.org

• Colorado
• The Colorado Health Foundation
• Denver
• Dan Gibbs

DEPARTMENT OF CHEMISTRY Research profile Sections

Source URL: set.kuleuven.be

• Chemistry
• Nature
• Polymer chemistry
• Chemist
• Medicinal chemistry
• Organic chemistry
• Inorganic chemistry
• Macromolecule
• Polymer
• Molecular modelling
• Willard Gibbs Award
• Davy Medal

BEAR LAKE COUNTY RESULTS PRIMARY ELECTION MAY 17, 2016 Marc Gibbs Tom Loertscher

Source URL: www.bearlakecounty.info

Collapsed Gibbs Sampler for Dirichlet Process Gaussian Mixture Models (DPGMM) Rajarshi Das Language Technologies Institute School of Computer Science Carnegie Mellon University

Source URL: rajarshd.github.io

Topic Modeling Variation across News Sources Gregory Ichneumon Brown ABSTRACT In this project we apply topic models to news articles to infer topics that provide insight into the variation between to

Source URL: greg.ichneumon.net

• Statistical natural language processing
• Statistics
• Probability
• Artificial intelligence
• Topic model
• Latent Dirichlet allocation
• Dirichlet distribution
• Gibbs sampling
• Usenet newsgroup
• News
• Unsupervised learning
• Dynamic topic model

College Students are constantly on the go. Being able to grab a coffee or a bottle of water very quickly is a necessity, so oftentimes we grab what is convenient without thinking of the environmental impact. This How-To

Source URL: www.gibbs-lab.com

A Level-set Hit-and-run Sampler for Quasi-Concave Distributions Shane T. Jensen and Dean P. Foster Department of Statistics, The Wharton School, University of Pennsylvania Abstract

Source URL: www-stat.wharton.upenn.edu

• Monte Carlo methods
• Markov chain Monte Carlo
• Non-uniform random numbers
• Probability distributions
• Computational statistics
• Gibbs sampling
• Rejection sampling
• MetropolisHastings algorithm
• Slice sampling
• Bayesian network
• Quasiconvex function
• Normal distribution

Debra Fischer Dept Astronomy Yale University 260 Whitney, JW Gibbs 259 New Haven, CTEducation

Source URL: exoplanets.astro.yale.edu

Student quotes from Spring 2012 “Prof Gibbs’ personal experiences, enthusiasm, and lecture style really kept me engaged and interested in the various aspects and impacts of worldwide agricultural food production.”

Source URL: www.gibbs-lab.com