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Bayes linear statistics
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1	logistic regression decision trees pre-pruning global contextual Add to Reading List Source URL: bigdatascienceschool.com Language: English - Date: 2014-06-10 14:21:32 Statistics Statistical classification Robust statistics Machine learning K-nearest neighbors algorithm Outlier Nonparametric statistics Naive Bayes classifier Linear regression Book:Machine Learning The Complete Guide Predictive analytics
2	Large-Scale Language Classification Writing a Detector for 200 Languages on Twitter Jordan Cazamias Chinmayi Dixit Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2015-12-20 04:56:25 Statistical classification Artificial intelligence Statistics Learning Machine learning Computational linguistics Natural language processing Linear classifier Naive Bayes classifier Multinomial logistic regression Classifier N-gram
3	Ann Inst Stat Math:877–903 DOIs10463Bayesian model selection for a linear model with grouped covariates Xiaoyi Min1 · Dongchu Sun2,3 Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2016-08-02 06:58:14 Parametric statistics Regression analysis Statistical models Design of experiments Prior probability Analysis of variance Linear regression Bayes factor Bayesian network
4	Bayes Optimal Kernel Discriminant Analysis Di You and Aleix M. Martinez Department of Electrical and Computer Engineering The Ohio State University, Columbus, OH 43210, USA Add to Reading List Source URL: www2.ece.ohio-state.edu Language: English - Date: 2010-07-14 17:50:30 Multivariate statistics Statistical classification Linear discriminant analysis Kernel method Kernel Fisher discriminant analysis Normal distribution K-nearest neighbors algorithm Distribution Kernel
5	Autoregressions in Small Samples, Priors about Observables and Initial Conditions Marek Jaroci´nski European Central Bank Albert Marcet London School of Economics, CEP and CEPR Add to Reading List Source URL: www.monfispol.eu Language: English - Date: 2011-04-20 14:05:39 Estimation theory Statistical inference Bayesian statistics Parametric statistics Regression analysis Prior probability Bayesian inference Frequentist inference Ordinary least squares Linear regression Bayes estimator
6	Module: Weka for Information Retrieval Last Update: December 10, Module Name Add to Reading List Source URL: curric.dlib.vt.edu Language: English - Date: 2011-01-19 20:56:07 Statistical classification Machine learning Artificial intelligence Learning Statistics Weka Naive Bayes classifier Support vector machine Document classification K-nearest neighbors algorithm Supervised learning Linear classifier
7	Interpreting Tests of School VAM Validity By Joshua Angrist, Peter Hull, Parag Pathak, and Christopher Walters∗ models, and develops an empirical Bayes strategy that uses lotteries to improve estimates of school qualit Add to Reading List Source URL: seii.mit.edu Language: English - Date: 2016-05-12 16:59:29 Econometrics Regression analysis Parametric statistics Estimation theory Least squares Instrumental variable Linear regression Ordinary least squares Simultaneous equations model Heteroscedasticity Coefficient of determination Normal distribution
8	Personalized Cardiorespiratory Fitness and Energy Expenditure Estimation Using Hierarchical Bayesian Models Marco Altinia , Pierluigi Casaleb , Julien Pendersb , Oliver Amftc a +Eindh Add to Reading List Source URL: www.marcoaltini.com Language: English - Date: 2015-06-12 13:04:19 Graphical models Statistical inference Bayesian statistics Linear regression Estimation theory Heart rate monitor Hierarchical Bayes model Economic model Statistics Econometrics Regression analysis
9	Evaluation of Double Hierarchical Generalized Linear Model versus Empirical Bayes method — A comparison on Barley dataset Author: Lei Wang Add to Reading List Source URL: www.statistics.du.se Language: English - Date: 2011-10-03 05:09:50
10	Statistical Learning, FallAssignment 2: Classification The purpose of this exercise is to compare the Naive Bayes (NB) model to Logistic Regression (LR) on data with categorical attributes. We will first train/fit Add to Reading List Source URL: www.timvanerven.nl Language: English - Date: 2014-12-05 11:38:24 Econometrics Actuarial science Statistical classification Naive Bayes classifier Training set Logistic regression Overfitting Generalized linear model Supervised learning Statistics Regression analysis Machine learning

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