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Source URL: my.unil.ch

Bayesian Optimization using Student-t Processes Andrew Gordon Wilson Department of Engineering Cambridge University

Source URL: mlg.eng.cam.ac.uk

Bayesian Analysis, Number 3, pp. 445–450 Objections to Bayesian statistics Andrew Gelman∗

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Psychon Bull Rev DOIs13423THEORETICAL REVIEW A rational model of function learning

Source URL: cocosci.berkeley.edu

• Statistics
• Econometrics
• Regression analysis
• Statistical models
• Computational neuroscience
• Computational statistics
• Gaussian process
• Linear regression
• Bayesian network
• Artificial neural network
• Machine learning
• Nonparametric regression

Neural Networks, 14(3):7-24, AprilInvited article) Bayesian Approach for Neural Networks – Review and Case Studies Jouko Lampinen and Aki Vehtari Laboratory of Computational Engineering, Helsinki University of

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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

Using Bayesian filtering to interpret tactile data during flexible materials manipulation Robert Platt Jr, Frank Permenter, Joel Pfeiffer Abstract—Localizing and manipulating features such as buttons, snaps, or grommet

Source URL: www.cs.purdue.edu

Computationally Efficient Bayesian Learning of Gaussian Process State Space Models Andreas Svensson Uppsala University, Sweden

Source URL: jmlr.org

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

Bayesian inference: foundational, modelling and computational aspects PhD program in Mathematics Instructors: Federico Bassetti and Antonio Lijoi (University of Pavia) Description The course is composed of two parts. The

Source URL: economia.unipv.it