Cognitive Science–1431 Copyright © 2014 Cognitive Science Society, Inc. All rights reserved. ISSN: printonline DOI: cogsAnalyzing the Rate at Which Languages Lose

Source URL: cocosci.berkeley.edu

• Statistics
• Cognition
• Language acquisition
• Learning
• Statistical inference
• Cognitive science
• Machine learning
• Bayesian network
• Bayesian inference
• Markov chain
• Universal grammar
• Inductive bias

Robustifying Bayesian nonparametric mixtures for count data Antonio Canale Department of Economics and Statistics and Collegio Carlo Alberto, University of Torino, Torino, Italy

Source URL: carloalberto.org

17th European Signal Processing Conference (EUSIPCOGlasgow, Scotland, August 24-28, 2009 NON-CONVEX PRIORS IN BAYESIAN COMPRESSED SENSING S. Derin Babacan1 ,

Source URL: decsai.ugr.es

• Statistics
• Statistical theory
• Probability
• Probability distributions
• Bayesian statistics
• Infinitely divisible probability distributions
• Gamma distribution
• Normal distribution
• Prior probability
• Bayesian network
• Conjugate prior
• Hyperprior

Errata Introduction to Probability, 2nd Edition Dimitri P. Bertsekas and John N. Tsitsiklis Athena Scientific, 2008 (last updated) • p. 79, line −2: Change “Polish” to “Prussian”

Source URL: athenasc.com

• Statistics
• Statistical theory
• Estimation theory
• Probability distributions
• Bayesian statistics
• Confidence interval
• Measurement
• Quantitative marketing research
• Likelihood function
• Normal distribution
• Gamma distribution
• Generalised Hough transform

Nonparametric Bayesian Statistics: Part II Tamara Broderick ITT Career Development Assistant Professor Electrical Engineering & Computer Science MIT

Source URL: www.tamarabroderick.com

Bayesian Learning via Stochastic Gradient Langevin Dynamics Max Welling D. Bren School of Information and Computer Science, University of California, Irvine, CA, USA Yee Whye Teh

Source URL: www.icml-2011.org

• Applied mathematics
• Statistical randomness
• Probability and statistics
• Monte Carlo methods
• Markov models
• Statistical mechanics
• Stochastic optimization
• Computational statistics
• Markov chain Monte Carlo
• Stochastic approximation
• Langevin dynamics
• Bayesian network

BAYESIAN STATISTICS 8, pp. 3–24. J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West (Eds.) c Oxford University Press, 2007

Source URL: research.microsoft.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

Connecting input filtering and selection in language evolution Luke Maurits, Tom Griffiths Department of Psychology, University of California, Berkeley

Source URL: www.luke.maurits.id.au

• Statistics
• Anthropology
• Cultural evolution
• Evolution
• Bayesian inference
• Sociocultural evolution
• Science
• Statistical theory

A lower bound on seller revenue in single buyer monopoly auctions Omer Tamuz∗ October 7, 2013 Abstract We consider a monopoly seller who optimally auctions a single object to a single potential

Source URL: people.hss.caltech.edu

• Mathematical analysis
• Probability
• Statistics
• Probability distributions
• Mechanism design
• Game theory
• Auction theory
• Pareto distribution
• Expected value
• Valuation
• Cumulative distribution function
• Bayesian-optimal pricing