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Statistical model
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#	Item
61	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
62	A STATISTICAL MODEL FOR PREDICTING PRONUNCIATION Florian Schiel Bavarian Archive of Speech Signals, Munich ABSTRACT Add to Reading List Source URL: www.phonetik.uni-muenchen.de Language: English - Date: 2015-08-18 05:11:02 Markov models Artificial intelligence Probability Learning Phonetic transcription Speech recognition Markov chain Image segmentation Hidden Markov model Viterbi algorithm Phonotactics
63	Department: MATHEMATICAL SCIENCES Semester Hours: 3 Course Title and Number: MATHMODEL BUILDING IN APPLIED MATHEMATICS Course Description: An introduction to the formulation, analysis and interpretation of mathem Add to Reading List Source URL: www.math.niu.edu Language: English - Date: 2013-09-05 10:39:00 Mathematical modeling Academia Abstraction Mathematics Scientific modeling Operations research Collective intelligence Knowledge representation Mathematical model Differential equation Conceptual model Statistical model
64	Correlated Community Estimation Models Over a Set of Names Suresh Veluru∗ , Yogachandran Rahulamathavan∗ , Suresh Manandhar† , and Muttukrishnan Rajarajan∗ ∗ Information Security Group, School of Engineering a Add to Reading List Source URL: www.uncertaintyofidentity.com Language: English - Date: 2014-11-25 09:34:28 Statistics Probability Probability distributions Statistical natural language processing Latent Dirichlet allocation Statistical models Mixture model Topic model Dirichlet distribution Multinomial distribution Gibbs sampling Perplexity
65	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
66	Penn State Max Kade German-American Research Institute presents Algorithmic Enlightenment? A Computational Approach to Literary Periodization Professor Matthew Erlin Add to Reading List Source URL: www.maxkade.la.psu.edu Language: English Statistical natural language processing Topic model Mallet Erlin Max Kade Age of Enlightenment Period Artificial intelligence Software Application software
67	SSDBMEfficient In-Database Maintenance of ARIMA Models Technische Universität Dresden Database Technology Group Add to Reading List Source URL: ssdbm2011.ssdbm.org Language: English - Date: 2011-09-01 19:55:47 Statistics Estimation theory Statistical inference Time series models Signal processing Statistical theory Autoregressive integrated moving average Maximum likelihood estimation Estimator Autoregressive model
68	Monte Carlo Methods for Quantum Spin Models Stefan Wessel Institute for Theoretical Solid State Physics JARA-FIT and JARA-HPC RWTH Aachen University Add to Reading List Source URL: www.cond-mat.de Language: English - Date: 2013-09-26 13:04:03 Physics Quantum mechanics Electromagnetism Statistical mechanics Heisenberg model Magnetic ordering Quantum magnetism Werner Heisenberg Quantum Monte Carlo Spin Ising model
69	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
70	Chapter 6 Logistic regression In this chapter we introduce the logistic regression model and illustrate its use by two examples. 6.1 Add to Reading List Source URL: www.isqr.uni-freiburg.de Language: English - Date: 2012-10-18 08:05:17 Statistics Regression analysis Categorical data Estimation theory Statistical models Actuarial science Logit Logistic regression Odds ratio Data transformation Linear regression Logistic

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