MIRI MACH IN E INT ELLIGENCE R ESEARCH INS TITU TE A Comparison of Decision Algorithms

Source URL: intelligence.org

• Science
• Probability and statistics
• Statistical inference
• Bayesian network
• Networks
• Bayesian probability
• Graphical model
• Causal decision theory
• Decision theory
• Statistics
• Bayesian statistics
• Statistical models

1792 • The Journal of Neuroscience, January 28, 2015 • 35(4):1792–1805 Behavioral/Cognitive Neural Mechanisms for Integrating Prior Knowledge and Likelihood in Value-Based Probabilistic Inference

Source URL: psych.nyu.edu

• Bayesian statistics
• Statistical inference
• Model selection
• Likelihood function
• Bootstrapping
• Prior probability
• Bayesian information criterion
• Maximum a posteriori estimation
• Statistical power
• Statistics
• Estimation theory
• Bayesian inference

Catching Up Faster in Bayesian Model Selection and Model Averaging ¨ Tim van Erven Peter Grunwald

Source URL: www.timvanerven.nl

• Bayesian inference
• Kullback–Leibler divergence
• Thermodynamics
• Markov chain
• Bayes factor
• Statistics
• Statistical theory
• Bayesian statistics

Efficient Bayesian Methods for Clustering Katherine Ann Heller B.S., Computer Science, Applied Mathematics and Statistics, State University of New York at Stony Brook, USAM.S., Computer Science, Columbia Universi

Source URL: www.gatsby.ucl.ac.uk

• Machine learning
• Cluster analysis
• Data mining
• Mixture model
• Graphical model
• Hierarchical clustering
• Bayesian inference
• Dirichlet process
• Content-based image retrieval
• Statistics
• Bayesian statistics
• Statistical models

A New Methodology for Modelling Stochastically the Time to Capsize Qi Chen, Andrzej Jasionowski, The Ship Stability Research Centre, Department of Naval Architecture and Mari

Source URL: floodstand.aalto.fi

• Statistical theory
• Statistical models
• Bayesian inference
• Capsizing
• Markov chain
• Normal distribution
• Generalized linear model
• Bayesian linear regression
• Probit
• Statistics
• Bayesian statistics
• Regression analysis

Integrated Data Analysis – Probabilistic Data Fusion in Fusion Andreas Dinklage Max-Planck-Institut für Plasmaphysik, Greifswald In fusion research, data analysis typically needs to combine different information at di

Source URL: phdia2015.ifj.edu.pl

• Science
• Measurement uncertainty
• Plasma diagnostics
• Probability interpretations
• Plasma
• Prior probability
• Bayesian inference
• Data analysis
• Statistics
• Bayesian statistics
• Physics

Bayesian Extreme Components Analysis

Source URL: www.ics.uci.edu

• Estimation theory
• Singular value decomposition
• Bayesian statistics
• Multivariate statistics
• Principal component analysis
• Maximum likelihood
• Mixture model
• Bayesian inference
• Eigenvalues and eigenvectors
• Statistics
• Algebra
• Statistical theory

Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation James Foulds Levi Boyles

Source URL: www.ics.uci.edu

• Expectation–maximization algorithm
• Variational Bayesian methods
• Topic model
• Algorithm
• Gibbs sampling
• Natural language processing
• Dirichlet process
• Mathematical optimization
• Dynamic topic model
• Statistics
• Statistical natural language processing
• Latent Dirichlet allocation

Personalized Cardiorespiratory Fitness and Energy Expenditure Estimation Using Hierarchical Bayesian Models Marco Altinia , Pierluigi Casaleb , Julien Pendersb , Oliver Amftc a +Eindh

Source URL: www.marcoaltini.com

• Graphical models
• Statistical inference
• Bayesian statistics
• Linear regression
• Estimation theory
• Heart rate monitor
• Hierarchical Bayes model
• Economic model
• Statistics
• Econometrics
• Regression analysis

Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation James Foulds1∗ Levi Boyles1† Christopher Dubois2‡

Source URL: www.ics.uci.edu