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Bayesian
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#	Item
311	How recursive is language? 1 Running head: HOW RECURSIVE IS LANGUAGE? How recursive is language? A Bayesian exploration Amy Perfors Add to Reading List Source URL: tedlab.mit.edu Language: English - Date: 2012-08-09 14:58:51 Cognitive science Formal languages Language Grammar Linguistics Syntax Compiler construction Philosophy of language Recursive grammar Context-free grammar Parsing Recursion
312	17th Annual WRF Users’ Workshop, 27 June -1 July, 2016, Boulder, CO Providing Operational GSI and EnKF to the Research Community: 2016 Update Hui Shao1,2, Ming Hu1,3, Don Stark1,2, Chunhua Zhou1,2, and Kathryn Newman1 Add to Reading List Source URL: www2.mmm.ucar.edu Language: English - Date: 2016-07-01 14:02:56 Statistical theory Statistics Bayesian statistics Estimation theory Meteorology Hurricane Weather Research and Forecasting model Weather forecasting Environmental Modeling Center Statistical forecasting Data assimilation Rapid Refresh Ensemble Kalman filter
313	RCEA Bayesian Econometrics WorkshopConditional forecasting with BVAR model for Russia the role of oil prices and economic sanctions Add to Reading List Source URL: www.forecast.ru Language: English - Date: 2016-06-09 08:54:22 Frequency modulation Vector autoregression
314	Spectral Bayesian Knowledge Tracing Mohammad Falakmasir Michael Yudelson University of Pittsburgh Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2015-09-28 15:39:44 Statistics Machine learning Bayesian Knowledge Tracing Education Statistical models Markov models Artificial intelligence Bayesian statistics Hidden Markov model Speech recognition Cognitive tutor Item response theory
315	Decision-Driven Models with Probabilistic Soft Logic Stephen H. Bach Matthias Broecheler Stanley Kok Lise Getoor Department of Computer Science University of Maryland, College Park College Park, MD 20742, USA Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-06-10 18:15:09 Statistics Probability Probability theory Mathematical analysis Statistical models Statistical classification Machine learning Histopathology Prostate cancer Bayesian probability Stochastic process Probability distribution
316	Technical supplement to “Consistent probabilistic outputs for protein function prediction” Guillaume Obozinski Department of Statistics UC Berkeley Berkeley, CA, USA Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:24 Statistics Statistical classification Statistical theory Regression analysis Estimation theory Actuarial science Belief propagation Naive Bayes classifier Logistic regression Exponential family Variational Bayesian methods KullbackLeibler divergence
317	A Bayesian Approach to Learning 3D Representations of Dynamic Environments Ralf K¨astner, Nikolas Engelhard, Rudolph Triebel, and Roland Siegwart Abstract We propose a novel probabilistic approach to learning spatial re Add to Reading List Source URL: europa.informatik.uni-freiburg.de Language: English - Date: 2010-12-20 07:34:33 Statistics Statistical theory Estimation theory Bayesian statistics Statistical models Signal processing Cluster analysis Mixture model Maximum likelihood estimation Normal distribution K-means clustering Likelihood function
318	A Latent Variable Model for Geographic Lexical Variation Jacob Eisenstein Brendan O’Connor Noah A. Smith Eric P. Xing School of Computer Science Carnegie Mellon University Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-07-30 17:50:53 Statistics Probability Statistical natural language processing Probability distributions Estimation theory Regression analysis Dynamic topic model Latent Dirichlet allocation Variational Bayesian methods Mixture model Topic model Normal distribution
319	Towards a Robust Top-Down Model for Valuation of Mining Assets Blanchet, J., Dolan, C., Iyengar, G., and Lall, U. Abstract Our goal is to create a simple, yet robust, statistical model which can be used to Add to Reading List Source URL: water.columbia.edu Language: English - Date: 2015-11-04 11:08:53 Statistics Estimation theory Operations research Applied mathematics Regression analysis Knowledge representation Mathematical model Linear regression Economic model Bayesian network Mathematical optimization Normal distribution
320	Slice sampling in Bayesian estimation of DSGE models Add to Reading List Source URL: www.macfinrobods.eu Language: English - Date: 2015-06-30 02:32:38 Statistical theory Statistics Bayesian statistics Estimation theory Slice sampling Likelihood function Markov chain Monte Carlo Bayes estimator

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