Bayesian learning with big data Yuan (Alan) Qi Purdue University UCL July 2012

Source URL: www.cs.purdue.edu

Hierarchical Bayesian Modeling with Ensemble MCMC Bayesian Computing for Astronomical Data Analysis 2014 Eric Ford Preparation For this lab, we’ll use the Julia programming language. We strongly encourage you to use th

Source URL: astrostatistics.psu.edu

THE SPEED OF SOCIAL LEARNING MATAN HAREL, ELCHANAN MOSSEL, PHILIPP STRACK, AND OMER TAMUZ Abstract. We consider two Bayesian agents who learn from exogenously provided private signals, as well as the actions of the other

Source URL: people.hss.caltech.edu

• Estimation theory
• Statistical theory
• Statistics
• Bayesian statistics
• Likelihood function
• Statistical inference

On Consistency of Nonparametric Normal Mixtures for Bayesian Density Estimation Antonio L IJOI, Igor P RÜNSTER, and Stephen G. WALKER The past decade has seen a remarkable development in the area of Bayesian nonparametr

Source URL: economia.unipv.it

Bayesian Optimization for Maximum Power Point Tracking in Photovoltaic Power Plants Hany Abdelrahman, Felix Berkenkamp, Jan Poland, and Andreas Krause Abstract— The amount of power that a photovoltaic (PV) power plant

Source URL: las.inf.ethz.ch

Bayesian Intelligence  Schedule: ​ Introduction to BNs     

Source URL: bayesian-intelligence.com

• Bayesian networks
• Statistical models
• Networks
• Bayesian

The Meaning of Events Ashish Mahabal, S.G. Djorgovski, Ciro Donalek California Institute of Technology The classification of complex celestial events Exploration of the time domain is rapidly becoming one of the most exc

Source URL: www.cacr.caltech.edu

• Statistics
• Machine learning
• Statistical classification
• Pattern recognition
• Bayesian inference
• Catalina Real-time Transient Survey
• Artificial neural network
• Bayesian network
• Prior probability
• Supervised learning
• Regression analysis
• Time series

Empirical Likelihood Test for High Dimensional Linear Models Liang Peng1 , Yongcheng Qi2 and Ruodu Wang3 January 7, 2014 Abstract We propose an empirical likelihood method to test whether the coefficients in a possibly h

Source URL: sas.uwaterloo.ca

• Statistics
• Statistical theory
• Estimation theory
• Regression analysis
• Probability distributions
• Parametric statistics
• Bayesian statistics
• Normal distribution
• Linear regression
• Likelihood function

Exploiting Task-Based Parallelism in Bayesian Uncertainty Quantification Panagiotis E. Hadjidoukas1(B) , Panagiotis Angelikopoulos1 , Lina Kulakova1 , Costas Papadimitriou2 , and Petros Koumoutsakos1 1

Source URL: cse-lab.ethz.ch

Modeling Cross-Domain Causal Learning in Preschoolers as Bayesian Inference Elizabeth Baraff Bonawitz () Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Cambridge, MAU

Source URL: ccdlab.rutgers.edu

• Philosophy
• Philosophy of science
• Epistemology
• Metaphysics
• Causality
• Graphical models
• Reasoning
• Conditionals
• Bayesian network
• Determinism
• Causal reasoning
• Causal graph