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Statistical models
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#	Item
201	Journal of Artificial Intelligence ResearchSubmitted 3/11; published 7/11 Controlling Complexity in Part-of-Speech Induction João V. Graça Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2011-08-24 11:02:38 Markov models Estimation theory Statistical theory Bayesian statistics Regression analysis Expectationmaximization algorithm Hidden Markov model BaumWelch algorithm Part-of-speech tagging Maximum likelihood estimation Likelihood function KullbackLeibler divergence
202	PDF Document Add to Reading List Source URL: www.cvg.ethz.ch Language: English - Date: 2015-10-29 08:10:27 Probability distributions Image segmentation Statistical models Central limit theorem Normal distribution
203	Image and Vision Computing–61 Contents lists available at ScienceDirect Image and Vision Computing journal homepage: www.elsevier.com/locate/imavis Add to Reading List Source URL: ibug.doc.ic.ac.uk Language: English - Date: 2015-11-12 06:27:17 Face recognition Ensemble learning Surveillance Statistical models Face detection Boosting Latent variable Facial recognition system ViolaJones object detection framework
204	Hidden Markov Models With Set-Valued Parameters Denis Deratani Mau´aa,∗, Alessandro Antonuccib , Cassio Polpo de Camposc a b Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2016-03-17 09:50:36 Markov models Bayesian inference Statistical models Markov processes Credal network Probability bounds analysis Credal set Hidden Markov model Bayesian network Markov chain BaumWelch algorithm Stochastic process
205	ANSWER SHEETS FOR MATH ASFM11-WWRG7 \| PDF \| 22 Page \| 667 KB \| 22 Aug, 2016 If you want to possess a one-stop search and find the proper manuals on your products, you can visit this website that delivers many Answer Shee Add to Reading List Source URL: www.ctgermans.org Language: English - Date: 2016-08-21 06:51:53 Combinatorics Statistical models
206	Inference, Models and Simulation for Complex Systems Lecture 1 Prof. Aaron Clauset 1 Add to Reading List Source URL: tuvalu.santafe.edu Language: English - Date: 2011-08-25 15:05:50 Probability distributions Infinitely divisible probability distributions Poisson processes Statistical theory Estimation theory Exponential distribution Poisson distribution Maximum likelihood estimation Geometric distribution Memorylessness Binomial distribution Parametric model
207	One-Step R-Estimation in Linear Models with Stable Errors a Marc Hallina,b , Yvik Swanc , Thomas Verdeboutd and David Veredasa Institut de Recherche en Statistique, ECARES, and ECORE, Universit´e libre de Bruxelles, Bel Add to Reading List Source URL: www.istfin.eco.usi.ch Language: English - Date: 2011-03-09 07:10:12 Estimation theory Statistical theory Econometrics Parametric statistics M-estimators Bias of an estimator Linear regression Consistent estimator Estimator Maximum likelihood estimation T-statistic Normal distribution
208	A new mathematical representation of demand using choice-based optimization method Meritxell Pacheco Paneque Shadi Sharif Azadeh Michel Bierlaire Add to Reading List Source URL: www.strc.ch Language: English - Date: 2016-06-11 09:55:49 Choice modelling Operations research Statistical models Environmental economics Discrete choice Mathematical optimization Mathematical model Linear programming Probability distribution Logistic regression Economic model
209	submitted to Geophys. J. Int. Multi-events Earthquake Early Warning algorithm using a Bayesian approach S. Wu1 , M. Yamada2 , K. Tamaribuchi3 and J.L. Beck1 1 Add to Reading List Source URL: www.eqh.dpri.kyoto-u.ac.jp Language: English - Date: 2014-11-14 04:30:48 Statistical theory Estimation theory Statistical models Earthquake Early Warning Japan Meteorological Agency Bayesian inference Bayesian network Thoku earthquake and tsunami Likelihood function
210	On the Relevance of Irrelevant Alternatives ∗ Austin R. Benson Stanford University Add to Reading List Source URL: stanford.edu Language: English - Date: 2016-02-02 15:50:14 Regression analysis Statistical models Single-equation methods Choice modelling Discrete choice Multinomial logistic regression Independence of irrelevant alternatives Logit Logistic regression Mode choice NLOGIT

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