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Statistical inference
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#	Item
171	Early Warning Systems for Large Earthquakes: Classification of Near-source and Far-source Stations by using the Bayesian Model Class Selection M. Yamada, T.H. Heaton & J.L. Beck California Institute of Technology, Pasade Add to Reading List Source URL: www.eqh.dpri.kyoto-u.ac.jp Language: English - Date: 2009-05-21 20:56:28 Statistics Statistical theory Statistical models Bayesian network Networks Bayesian inference Earthquake Model selection Regression analysis
172	Package ‘ipred’ July 28, 2015 Title Improved Predictors VersionDateDescription Improved predictive models by indirect classification and Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2015-07-28 16:41:26 Statistics Machine learning Ensemble learning Computational statistics Statistical inference Decision trees Bootstrap aggregating Random forest Bootstrapping Resampling Out-of-bag error Leo Breiman
173	BELIEF THEORETIC METHODS FOR SOFT AND HARD DATA FUSION T. L. Wickramarathne† , K. Premaratne† , M. N. Murthi† , M. Scheutz‡ , S. K¨ubler? , and M. Praviao † Electrical and Computer Engineering University of Mi Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2011-03-15 16:32:33 Statistics Analysis Belief Statistical inference Probability DempsterShafer theory Probability theory Confidence interval Reliability engineering Data fusion Epistemology
174	Structured and Infinite Discriminative Models for Speech Recognition Jingzhou Yang Homerton College Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2016-07-26 12:00:52 Statistics Learning Artificial intelligence Machine learning Statistical models Statistical inference Graphical models Structured prediction Discriminative model Conditional random field Generative model Hidden Markov model
175	B-test: A Non-parametric, Low Variance Kernel Two-sample Test Arthur Gretton Gatsby Unit University College London Add to Reading List Source URL: cs.nyu.edu Language: English - Date: 2013-09-05 02:59:42 Statistics Probability distributions Statistical inference Computational statistics Nonparametric statistics Hypothesis testing Normal distribution Bootstrapping Central limit theorem Chi-squared distribution Median Variance
176	paneljackknife28feb2006.dvi Add to Reading List Source URL: www.istfin.eco.usi.ch Language: English - Date: 2009-01-27 08:14:20 Statistics Estimation theory Statistical theory Statistical inference M-estimators Econometrics Consistent estimator Maximum likelihood estimation Jackknife resampling Estimator Delta method
177	Biometrie WorkshopNovember 2013 in Freising an der Bayerischen Landesanstalt für Wald und Forstwirtschaft mit einem Tutorial von Andrew Finley (Michigan State University) Add to Reading List Source URL: www.fva-bw.de Language: English - Date: 2013-10-30 12:40:05 Statistics Data Statistical inference Geostatistics Statistical theory Cartography Geography Spatial analysis Spatial epidemiology Bayesian network Regression analysis Bayesian
178	HP Prime Technology Corner 21 The Practice of Statistics for the AP Exam, 5e Section 10-1, P. 618 Add to Reading List Source URL: www.hpprime.de Language: English - Date: 2014-09-09 06:16:01 Statistical inference Confidence interval Econometrics Market research Measurement Psephology Confidence Statistics
179	Nonparametric estimation of the division rate of a size-structured population M. Doumic∗, M. Hoffmann†, P. Reynaud-Bouret‡ and V. Rivoirard§ March 21, 2011 hal, versionMar 2011 Add to Reading List Source URL: www.rocq.inria.fr Language: English - Date: 2011-09-22 13:58:27 Signal processing Estimation theory Statistical inference Ordinary differential equations Nonparametric statistics
180	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

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