<--- Back to Details
First PageDocument Content
Statistical models / Statistical inference / Statistical theory / Bayesian network / Networks / Bayesian inference / Bayesian statistics / Prior probability / Bayesian probability
Date: 2016-05-27 15:28:06
Statistical models
Statistical inference
Statistical theory
Bayesian network
Networks
Bayesian inference
Bayesian statistics
Prior probability
Bayesian probability

Testing Models of Social Learning on Networks

Add to Reading List

Source URL: thred.devecon.org

Download Document from Source Website

File Size: 1,28 MB

Share Document on Facebook

Similar Documents

From Bayesian Notation to Pure Racket via Discrete Measure-Theoretic Probability in λZFC Neil Toronto and Jay McCarthy PLT @ Brigham Young University, Provo, Utah, USA and

DocID: 1tBlN - View Document

Statistics / Knowledge / Statistical theory / Probability interpretations / Philosophy of science / Psychometrics / Bayesian probability / Justification / Philosophy of mathematics / Frequentist inference / Bayesian / Statistical hypothesis testing

RMM Vol. 2, 2011, 79–102 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Deborah G. Mayo

DocID: 1rr1z - View Document

Economics / Statistics / Statistical theory / Dynamic stochastic general equilibrium / Econometrics / Bayesian statistics / Bayesian vector autoregression / Macroeconomic model / Bayesian inference / Bayesian / Prior probability / Vector autoregression

University of Vienna Vienna Graduate School of Economics Empirical Macroeconomics: Models and Methods Spring Semester 2013 Thomas A. Lubik

DocID: 1rqtQ - View Document

Statistics / Statistical theory / Statistical inference / Knowledge / Philosophy of science / Psychometrics / Probability interpretations / Bayesian / Inverse probability / Likelihood function / Ronald Fisher / Foundations of statistics

RMM Vol. 2, 2011, 48–66 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Stephen Senn

DocID: 1rpvl - View Document

Statistics / Probability / Statistical theory / Probability distributions / Statistical models / Bayesian statistics / Stochastic processes / Graphical models / Bayesian network / Gibbs sampling / Dirichlet process / Mixture model

Learning stick-figure models using nonparametric Bayesian priors over trees Edward W. Meeds, David A. Ross, Richard S. Zemel, and Sam T. Roweis Department of Computer Science University of Toronto {ewm, dross, zemel, row

DocID: 1roJh - View Document