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Bayesian statistics
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#	Item
51	Maximum Likelihood and Bayes Modal Ability Estimation in Two-Parametric IRT Models: Derivations and Implementation Norman Rose Institute of Psychology Friedrich Schiller University Jena Add to Reading List Source URL: www.kompetenztest.de Language: English Statistics Statistical theory Estimation theory Bayesian statistics M-estimators Maximum likelihood estimation Xi Bayes estimator Likelihood function Maximum a posteriori estimation
52	LNAIContinuous Time Bayesian Networks for Host Level Network Intrusion Detection Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:43 Statistics Probability Statistical theory Markov models Statistical models Graphical models Estimation theory Bayesian network Networks Markov chain Normal distribution Expectationmaximization algorithm
53	Online Data Fusion Xuan Liu Xin Luna Dong National University of Singapore Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2011-06-18 00:18:50 Statistics Statistical inference Statistical theory Logic Statistical hypothesis testing Sampling Bayesian inference
54	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
55	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
56	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
57	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
58	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
59	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
60	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