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Statistical methods
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#	Item
31	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
32	Microsoft Word - AHRQ RAHM Workgroup Technical Report_Final.doc Add to Reading List Source URL: www.qualityindicators.ahrq.gov Language: English - Date: 2013-11-24 13:45:30 Estimation theory Statistics Knowledge United States Department of Health and Human Services Regression analysis Science and technology Healthcare Cost and Utilization Project Statistical methods Linear regression Prediction
33	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
34	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
35	That was fast! Speeding up NN search of high dimensional distributions. Emanuele Coviello University of California, San Diego, 9500 Gilman Dr, La Jolla, CA 92093 Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:02:39 Statistics Geometry Statistical distance Information Statistical theory Information theory Bregman divergence Search algorithms KullbackLeibler divergence Variational Bayesian methods Expectationmaximization algorithm Divergence
36	Syst. Biol. 65(4):700–710, 2016 © The Author(sPublished by Oxford University Press, on behalf of the Society of Systematic Biologists. All rights reserved. For Permissions, please email: journals.permissions@o Add to Reading List Source URL: www.biologie.ens.fr Language: English - Date: 2016-07-27 06:31:40 Biology Statistical genetics Genetics Evolutionary biology Phylogenetics Sexual selection Phylogenetic comparative methods Evolution Natural selection Quantitative trait locus Akaike information criterion Character displacement
37	swiss economics Add to Reading List Source URL: www.swiss-economics.ch Language: English - Date: 2013-03-01 12:09:56 Economy Economics Business Choice modelling Pricing Single-equation methods Statistical models Scientific modeling Discrete choice Service Delivery Post-office box
38	Lecture 3: New methods beyond traditional DPD Add to Reading List Source URL: www.prague-sum.com Language: English - Date: 2014-08-26 09:05:11 Statistical mechanics Physics Mechanics Mathematical physics Non-equilibrium thermodynamics Aerodynamics Computational fluid dynamics Condensed matter physics NavierStokes equations Fluctuation-dissipation theorem Dissipative particle dynamics Stokes
39	INSTRUMENTAL VARIABLES ESTIMATION WITH MANY WEAK INSTRUMENTS USING REGULARIZED JIVE CHRISTIAN HANSEN AND DAMIAN KOZBUR Abstract. We consider instrumental variables regression in models where the number of available instr Add to Reading List Source URL: www.n.ethz.ch Language: English - Date: 2013-10-06 16:12:54 Statistics Estimation theory Statistical theory Regression analysis Statistical inference Statistical methods Linear regression Instrumental variable Estimator Asymptotic theory Shrinkage estimator M-estimator
40	PDF Document Add to Reading List Source URL: mcqmc2016.stanford.edu Language: English - Date: 2016-08-23 18:37:55 Monte Carlo methods Statistics Applied mathematics Probability Quasirandomness Quasi-Monte Carlo method Computational physics Sampling techniques Statistical mechanics Markov chain Monte Carlo Monte Carlo Monte

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