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Parametric model
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551	Sankhy¯ a : The Indian Journal of Statistics 2009, Volume 71-A, Part 2, pp[removed] Add to Reading List Source URL: stoch.fmi.uni-passau.de Language: English - Date: 2010-04-14 08:49:33 Expectation–maximization algorithm M-estimator Normal distribution Mixture model Estimator Parametric model Likelihood function Statistics Estimation theory Maximum likelihood
552	Supervised Feature Selection via Dependence Estimation Le Song Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:25:56 Non-parametric statistics Statistical classification Support vector machine Supervised learning Feature selection Kernel Linux kernel Cross-validation Reproducing kernel Hilbert space Statistics Machine learning Model selection
553	A Relationally Parametric Model of the Calculus of Constructions Neelakantan R. Krishnaswami Add to Reading List Source URL: www.mpi-sws.org Language: English - Date: 2012-07-11 10:20:59 Logic in computer science Nonassociative algebra Entailment Logical consequence Metalogic Constructible universe Quasigroup Combinatory logic Curry–Howard correspondence Logic Mathematics Deduction
554	Estimation in the Regression Discontinuity Model∗ Jack Porter Harvard University Add to Reading List Source URL: www.ssc.wisc.edu Language: English - Date: 2003-08-27 21:39:46 Econometrics Statistical inference Non-parametric statistics Kernel regression Estimator M-estimator Linear regression Polynomial regression Statistics Estimation theory Regression analysis
555	FITTING A HIERARCHICAL LOGISTIC NORMAL DISTRIBUTION JONATHAN HUANG AND TOMASZ MALISIEWICZ Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-07-19 12:10:52 Statistical models Normal distribution Parametric model Maximum likelihood Fisher information Likelihood function Statistics Estimation theory Statistical theory
556	Hierarchical Bayesian Nonparametric Models with Applications Yee Whye Teh Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2010-06-29 13:51:31 Chinese restaurant process Parametric model Mixture model Pitman–Yor process Hidden Markov model Non-parametric statistics Statistics Stochastic processes Dirichlet process
557	Tail Conditional Expectations for Exponential Dispersion Models∗ Zinoviy Landsman Add to Reading List Source URL: www.actuaries.org Language: English - Date: 2011-04-20 15:55:05 Poisson processes Exponential distribution Exponentials Gamma distribution Normal distribution Moment-generating function Weight Multivariate normal distribution Parametric model Statistics Mathematical analysis Probability and statistics
558	Curvaton model Parametric resonance Add to Reading List Source URL: www.physics.ox.ac.uk Language: English - Date: 2008-09-29 11:45:00 Oscillators Parametric oscillator Resonance Inflation Physics Ordinary differential equations Amplifiers
559	Fan – Curriculum Vitae Page Add to Reading List Source URL: www.econ.sinica.edu.tw Language: English - Date: 2012-01-03 01:33:34 Jianqing Fan Additive model Neil Shephard Linear regression Errors-in-variables models Non-parametric statistics Richard Samworth Statistics Regression analysis Econometrics
560	1 Chapter 8 Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2011-05-18 15:13:01 Estimation theory Data analysis Resampling Bootstrapping Estimator Bias of an estimator Parametric model Efficient estimator Standard deviation Statistics Statistical inference Statistical theory

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