USING LOGARITHMIC OPINION POOLING TECHNIQUES IN BAYESIAN BLIND MULTI-CHANNEL RESTORATION Preparation of Camera-Ready Contributions to INSTICC Proceedings Bruno Amizic, Aggelos K. Katsaggelos Department of Electrical Engi

Source URL: decsai.ugr.es

• Mathematical analysis
• Statistics
• Mathematics
• Functional analysis
• Probability distributions
• KullbackLeibler divergence
• Statistical theory
• Thermodynamics
• Normal distribution
• Distribution
• Convolution

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and shar

Source URL: ccdlab.rutgers.edu

• Philosophy of science
• Reasoning
• Statistical inference
• Statistical theory
• Causality
• Inductive reasoning
• Bayesian network
• Inference
• Psychology
• Causal model
• Prediction
• Statistics

Preschoolers sample from probability distributions Stephanie Denison () Elizabeth Baraff Bonawitz (liz ) Alison Gopnik () Thomas L. Griffiths (tom griffiths@berkeley.

Source URL: ccdlab.rutgers.edu

• Statistics
• Philosophy
• Knowledge
• Philosophy of science
• Statistical inference
• Design of experiments
• Hypothesis testing
• Reasoning
• Statistical hypothesis testing
• Bayesian inference
• Bayesian network
• Causality

Total Variation Super Resolution Using A Variational Approach

Source URL: decsai.ugr.es

• Statistics
• Mathematical analysis
• Probability distributions
• Probability
• Bayesian statistics
• Image processing
• Gamma distribution
• NC
• Variational Bayesian methods
• Hyperprior
• Bicubic interpolation
• Constructible universe

Rational Randomness: The role of sampling in an algorithmic account of preschooler’s causal learning Bonawitz, E., Gopnik, A., Denison, S., Griffiths, T. L. University of California, Berkeley; Berkeley, CA 94720

Source URL: ccdlab.rutgers.edu

• Statistics
• Philosophy
• Logic
• Statistical inference
• Philosophy of science
• Statistical theory
• Reasoning
• Bayesian inference
• Statistical forecasting
• Bayesian network
• Bayesian statistics
• Inductive reasoning

BIOINFORMATICS APPLICATIONS NOTE Vol. 22 no, pages 768–770 doi:bioinformatics/btk051 Genetics and population analysis

Source URL: evolution.gs.washington.edu

• Statistics
• Statistical theory
• Estimation theory
• Statistical inference
• Population genetics
• Statistical genetics
• Coalescent theory
• Haplotype
• Mixture model
• Bayesian inference
• Point estimation
• Models of DNA evolution

University of California, Irvine Statistics Seminar Theory and Computation for Bayesian Nonparametric Estimation Problems

Source URL: www.stat.uci.edu

Children and adults differ in their strategies for social learning Falk Lieder1 () Zi Lin Sim1 () Jane C. Hu ()

Source URL: cocosci.berkeley.edu

• Cognitive science
• Statistics
• Bayesian statistics
• Cognition
• Education
• Bayesian inference
• Statistical forecasting
• Bayesian network
• Strategy
• Metacognition
• Prior probability

Forum Probabilistic models, learning algorithms, and response variability: sampling in cognitive development Elizabeth Bonawitz1, Stephanie Denison2, Thomas L. Griffiths3, and Alison Gopnik3

Source URL: cocosci.berkeley.edu

• Statistical inference
• Statistical theory
• Philosophy of science
• Sampling techniques
• Psychometrics
• Bayesian inference
• Statistics
• Monte Carlo method
• Statistical hypothesis testing
• Sampling
• Causality
• Bayesian network

Bayesian Inference for Contact Networks Given Epidemic Data CHRIS GROENDYKE Department of Statistics, Pennsylvania State University DAVID WELCH Department of Statistics, Pennsylvania State University;

Source URL: sites.stat.psu.edu