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Bayesian
Results: 5731

#	Item
261	BIC UK – PRESS RELEASE LONDON – OCTOBER 28TH 2015 Getting the nation to #JustWrite BIC Launches #JustWrite Day to Get Britain Writing Add to Reading List Source URL: bicworld.com Language: English - Date: 2015-10-29 10:56:10 Language Writing implements Bic Writing Bayesian information criterion Penmanship
262	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
263	REV_ISS_WEB_mee3_12500_7 Add to Reading List Source URL: birdpop.org Language: English - Date: 2016-05-12 11:06:55 Biology Ecology Species distribution Abundance Bayesian network Statistics Woodpecker Scaling pattern of occupancy
264	Spectral learning of linear dynamics from generalised-linear observations with application to neural population data Lars Buesing∗ , Jakob H. Macke∗,† , Maneesh Sahani Gatsby Computational Neuroscience Unit Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:44 Statistics Statistical theory Estimation theory Actuarial science Expectationmaximization algorithm Missing data Maximum likelihood estimation Variational Bayesian methods Linear regression Normal distribution Covariance Regression analysis
265	Bayesian and Dominant Strategy Implementation Revisited Alex Gershkov, Benny Moldovanu and Xianwen ShiAbstract Add to Reading List Source URL: www.econ2.uni-bonn.de Language: English - Date: 2014-03-26 06:49:17 Database theory Logic Akritean distance Digital geometry
266	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
267	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
268	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 Add to Reading List Source URL: www.rmm-journal.com Language: English - Date: 2011-09-26 02:42:15 Statistics Statistical theory Statistical inference Knowledge Philosophy of science Psychometrics Probability interpretations Bayesian Inverse probability Likelihood function Ronald Fisher Foundations of statistics
269	PROBABILISTIC MODELING OF GENE REGULATORY NETWORKS FROM DATA Thesis submitted for the degree “Doctor of Philosophy” Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2015-08-10 08:23:34 Statistics Networks Learning Systems science Statistical models Systems biology Machine learning Bayesian network Gene regulatory network Nir Friedman Gaussian process Nonlinear dimensionality reduction
270	Gaussian sampling by local perturbations George Papandreou Department of Statistics University of California, Los Angeles Add to Reading List Source URL: www.stat.ucla.edu Language: English - Date: 2010-10-31 18:18:15 Statistics Statistical models Stochastic processes Linear filters Bayesian statistics Estimation theory Gibbs sampling Normal distribution Kalman filter Mixture model Bayesian network Gaussian process

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