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Nonparametric statistics
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#	Item
211	Biogeosciences, 11, 3279–3297, 2014 www.biogeosciences.netdoi:bg © Author(sCC Attribution 3.0 License. Neural network-based estimates of Southern Ocean net community Add to Reading List Source URL: www.biogeosciences.net Language: English - Date: 2014-12-03 15:40:36 Nonparametric regression Regression analysis CARIACO Ocean Time Series Program Bootstrapping Resampling Statistics Non-parametric statistics Statistical inference
212	Maximum-likelihood estimation of the discrete model with endogenous explanatory variable Add to Reading List Source URL: siteresources.worldbank.org Language: English - Date: 2005-12-21 12:03:28 Econometrics Statistical models Statistical inference Linear regression Semiparametric regression Nonparametric regression Local regression Semiparametric model Goldfeld–Quandt test Statistics Regression analysis Non-parametric statistics
213	Neighborhood-Based Local Sensitivity Paul N. Bennett Microsoft Research, One Microsoft Way, Redmond WA 98052, USA Abstract. We introduce a nonparametric model for sensitivity estimation whic Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-07-02 15:40:27 K-nearest neighbor algorithm Support vector machine Cross-validation Binary classification Statistics Machine learning Statistical classification
214	2746 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 58, NO. 5, MAY 2010 Nonparametric Detection of Signals by Information Theoretic Criteria: Performance Analysis and an Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2010-04-21 05:55:56 Statistical inference Statistical theory Linear algebra Matrix theory Estimator Efficient estimator Akaike information criterion Consistent estimator Eigenvalues and eigenvectors Statistics Algebra Estimation theory
215	Statistics 582, Problem Set 2 Solutions Wellner; [removed]Consider nonparametric maximum likelihood estimation of F in the right-censored data problem considered in class, but extend the argument to include ties as f Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-21 18:17:12 Maximum likelihood Science Philosophy of science Theorems and definitions in linear algebra Fisher consistency Estimation theory Statistical theory M-estimators
216	Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable Lauren A. Hannah Duke University Durham, NC 27701 Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Stochastic optimization Operations research Mathematical optimization Dirichlet process Stochastic approximation Newsvendor model Mixture model Stochastic gradient descent Gradient descent Statistics Probability and statistics Numerical analysis
217	The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2010-06-16 23:53:04 Statistical natural language processing Statistical models Statistical inference Dirichlet process Latent Dirichlet allocation Chinese restaurant process Non-parametric statistics Mixture model Bayesian network Statistics Stochastic processes Bayesian statistics
218	Journal of Machine Learning Research[removed]Submitted 9/09, Revised 7/10, 1/11; Published 5/11 Dirichlet Process Mixtures of Generalized Linear Models Lauren A. Hannah Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Nonparametric regression Linear regression Poisson regression Dirichlet process Mixture model Degrees of freedom Statistical power Bayesian linear regression Variance inflation factor Statistics Regression analysis Generalized linear model
219	Bayesian Nonparametric Poisson Factorization for Recommendation Systems Prem Gopalan Princeton University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Variational Bayesian methods Mixture model Poisson distribution Collaborative filtering Dirichlet process Bayesian inference Recommender system Gamma distribution Markov chain Statistics Bayesian statistics Expectation–maximization algorithm
220	Dirichlet Process Mixtures of Generalized Linear Models Lauren A. Hannah Department of Operations Research and Financial Engineering, Princeton University Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Linear regression Poisson regression Nonparametric regression Dirichlet process Bayesian linear regression Mixture model Degrees of freedom Statistical power Polynomial regression Statistics Regression analysis Generalized linear model

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