An Alternative Prior Process for Nonparametric Bayesian Clustering Hanna M. Wallach Department of Computer Science University of Massachusetts Amherst

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

• Statistics
• Stochastic processes
• Statistical theory
• Probability
• Hierarchical Dirichlet process
• Dirichlet process
• PitmanYor process
• Chinese restaurant process
• Dirichlet distribution
• Mixture model
• Concentration parameter
• Pattern recognition

BAYESIAN STATISTICS 7, pp. 000–000 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, 2003

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

University of California, Irvine Statistics Seminar Approximate Bayesian Computation for the Stellar Initial Mass Function Jessica Cisewski

Source URL: www.stat.uci.edu

PARAMETER ESTIMATION IN TOTAL VARIATION BLIND DECONVOLUTION S. Derin Babacan1 , Rafael Molina2 , Aggelos K. Katsaggelos1 1 Department of Electrical Engineering and Computer Science

Source URL: decsai.ugr.es

• Statistics
• Mathematical analysis
• Probability
• Probability distributions
• Image processing
• Infinitely divisible probability distributions
• Bayesian statistics
• Signal processing
• Gamma distribution
• Normal distribution
• Deconvolution
• Convolution

Proceedings of 2010 IEEE 17th International Conference on Image Processing September 26-29, 2010, Hong Kong Using the Kullback-Leibler Divergence to Combine Image Priors in Super-Resolution Image Reconstruction

Source URL: decsai.ugr.es

• Probability distributions
• Bayesian statistics
• KullbackLeibler divergence
• Statistical theory
• Thermodynamics
• Gamma distribution
• Variational Bayesian methods
• Peak signal-to-noise ratio
• Bayesian network
• Sheaf

Co-Learning Bayesian Model Fusion: Efficient Performance Modeling of Analog and Mixed-Signal Circuits Using Side Information

Source URL: manzil.ml

• Statistics
• Probability
• Mathematical analysis
• Probability distributions
• Laplace distribution
• Linear regression
• Normal distribution
• Constructible universe
• Bayesian network
• Ordinal number
• Beta distribution
• Omnibus test

Bayesian Clustering of Transcription Factor Binding Motifs Shane T. J ENSEN and Jun S. L IU Genes are often regulated in living cells by proteins called transcription factors that bind directly to short segments of DNA i

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

• Statistics
• Machine learning
• Cluster analysis
• Computational statistics
• Bioinformatics
• Hierarchical clustering
• Network analysis
• Dirichlet process
• K-means clustering
• DNA binding site
• Expectationmaximization algorithm
• Consensus clustering

CURRICULUM VITAE for S.G.Walker EDUCATION Sep 1976-NovSutton Manor High School, Sutton, Surrey. Oct 1984-JunOriel College, Oxford University (awarded Open Exhibition on entry to Oriel College). Oct 1992-Sep

Source URL: www.ma.utexas.edu

• Statistical inference
• Statistical theory
• Stochastic processes
• Statistical models
• Bayesian inference
• Statistical forecasting
• Bayesian statistics
• Dirichlet process
• Bayesian
• Statistics
• Mixture model

Teaching Ambiguous Evidence 1 Teaching three-and-a-half-year-olds to revise their beliefs given ambiguous evidence Elizabeth B. Bonawitz1, Adina Fischer2, & Laura Schulz3 1

Source URL: ccdlab.rutgers.edu

• Statistics
• Logic
• Philosophy
• Statistical inference
• Causal inference
• Epistemology
• Reasoning
• Design of experiments
• Causality
• Theory-theory
• Inductive reasoning
• Bayesian inference

Proceedings, The Eleventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-15) Bayesian Clustering of Player Styles for Multiplayer Games Aline Normoyle Shane T. Jensen

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

• Statistics
• Computing
• Mathematics
• Cluster analysis
• K-means clustering
• Hierarchical clustering
• Non-negative matrix factorization
• Fuzzy clustering
• Machine learning
• Computer cluster
• Dirichlet process
• Consensus clustering