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Statistical inference
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#	Item
11	Is Bayes posterior just quick and dirty confidence? D.A.S. Fraser March 9, 2009 Abstract Bayesintroduced the observed likelihood function to statistical inference and provided a weight function to calibrate the p Add to Reading List Source URL: fisher.utstat.toronto.edu - Date: 2012-04-02 13:00:54
12	Hierarchical Affinity Propagation Supplementary Material Inmar E. Givoni, Clement Chung, Brendan J. Frey Probabilistic and Statistical Inference Group University of Toronto Add to Reading List Source URL: www.psi.toronto.edu - Date: 2011-06-16 15:34:47
13	Hierarchical Affinity Propagation Inmar E. Givoni, Clement Chung, Brendan J. Frey Probabilistic and Statistical Inference Group University of Toronto 10 King’s College Road, Toronto, Ontario, Canada, M5S 3G4 Add to Reading List Source URL: www.psi.toronto.edu - Date: 2011-06-16 15:34:47
14	MATRIX TILE ANALYSIS Inmar Givoni, Vincent Cheung, Brendan J. Frey Probabilistic and Statistical Inference Group University of Toronto 10 King’s College Road, Toronto, Ontario, Canada, M5S 3G4 Add to Reading List Source URL: www.psi.toronto.edu - Date: 2006-05-20 00:40:55
15	Semi-Supervised Affinity Propagation with Instance-Level Constraints Inmar E. Givoni, Brendan J. Frey Probabilistic and Statistical Inference Group University of Toronto Add to Reading List Source URL: www.psi.toronto.edu - Date: 2009-09-01 17:45:23
16	STAT 416: H IGH D IMENSIONAL S TATISTICS II Syllabus, Spring 2016 High dimensional statistics II is graduate level course on the mathematical and statistical properties of estimation and inference procedures on high dime Add to Reading List Source URL: galton.uchicago.edu - Date: 2016-04-16 11:14:40
17	HP Prime Technology Corner 28 The Practice of Statistics for the AP Exam, 5e Section 12-1, P. 751 Add to Reading List Source URL: hp-prime.de Language: English - Date: 2014-09-09 06:17:50 Statistics Estimation theory Regression analysis Statistical inference Measurement Statistical theory Confidence interval Linear regression Errors and residuals
18	A Bayesian model for identifying hierarchically organised states in neural population activity Patrick Putzky1,2,3 , Florian Franzen1,2,3 , Giacomo Bassetto1,3 , Jakob H. Macke1,3 1 Max Planck Institute for Biological Cy Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:45 Computational neuroscience Statistics Neuroscience Statistical theory Neural networks Bioinformatics Artificial neural network Bayesian network Neural coding Variational Bayesian methods Bayesian inference Hidden Markov model
19	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 Add to Reading List Source URL: www.rmm-journal.com Language: English - Date: 2011-10-07 03:32:19 Statistics Knowledge Statistical theory Probability interpretations Philosophy of science Psychometrics Bayesian probability Justification Philosophy of mathematics Frequentist inference Bayesian Statistical hypothesis testing
20	University of Vienna Vienna Graduate School of Economics Empirical Macroeconomics: Models and Methods Spring Semester 2013 Thomas A. Lubik Add to Reading List Source URL: www.vgse.at Language: English - Date: 2013-03-07 10:47:28 Economics Statistics Statistical theory Dynamic stochastic general equilibrium Econometrics Bayesian statistics Bayesian vector autoregression Macroeconomic model Bayesian inference Bayesian Prior probability Vector autoregression