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Kernel density estimation
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41	doi:j.sigpro Add to Reading List Source URL: people.sabanciuniv.edu Language: English - Date: 2007-09-12 09:57:15 Mathematical analysis Metric geometry Topology Image processing Segmentation Geodesic Kernel density estimation Arc length Curvature Geometry Mathematics Curves
42	Microsoft PowerPoint - MineralsPresentation.ppt Add to Reading List Source URL: www.aafco.org Language: English - Date: 2015-03-06 11:08:51 Science Kernel density estimation Winsorising Parts-per notation Robust statistics Statistics Measurement Statistical theory
43	Maintaining Nonparametric Estimators over Data Streams Bj¨orn Blohsfeld Christoph Heinz Bernhard Seeger Department of Mathematics and Computer Science Philipps University Marburg Add to Reading List Source URL: subs.emis.de Language: English - Date: 2013-10-04 10:30:59 Non-parametric statistics Statistical inference Estimator Kernel density estimation Bias of an estimator Density estimation Fisher consistency Asymptotic theory Statistics Estimation theory Statistical theory
44	Introduction to Statistical Inference and Learning Instructors: Jonathan Rosenblatt, Boaz Nadler In this course we will cover the basic concepts underlying modern data analysis, machine learning and statistical inference Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2014-11-05 01:46:12 Machine learning Vladimir Vapnik Year of birth missing Density estimation Estimation theory Parametric statistics Interval estimation Kernel smoother Computational learning theory Statistics Statistical inference Non-parametric statistics
45	Mach Learn[removed]:127–160 DOI[removed]s10994[removed]x Mass estimation Kai Ming Ting · Guang-Tong Zhou · Fei Tony Liu · Swee Chuan Tan Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2013-09-06 18:14:23 Classical mechanics Mass Bayesian statistics Kernel density estimation Maximum likelihood Density estimation Probability density function Gaussian function Normal distribution Statistics Non-parametric statistics Estimation theory
46	CS 195-5: Machine Learning Problem Set 5 Douglas Lanman [removed] 26 November 2006 Add to Reading List Source URL: mesh.brown.edu Language: English - Date: 2006-11-28 13:11:01 Gaussian function Kernel density estimation Mutual information Normal distribution Entropy Correlation and dependence Conditional entropy Information theory Statistics Probability and statistics
47	Rainbow plots, bagplots and boxplots for functional data Rob J Hyndman and Han Lin Shang Department of Econometrics and Business Statistics, Monash University, Clayton, Australia June 5, 2009 Add to Reading List Source URL: robjhyndman.com Language: English - Date: 2009-06-05 01:49:54 Box plot Outlier Plot Kernel density estimation Functional data analysis Principal component analysis Normal distribution Mode Bivariate data Statistics Data analysis Functional boxplot
48	16 Density Estimation We’ve learned more and more about how to describe and fit functions, but the decision to fit a function can itself be unduly restrictive. Instead of assuming a noise model for the data (such as G Add to Reading List Source URL: fab.cba.mit.edu Language: English - Date: 2014-04-14 17:27:29 Estimation theory Bayesian statistics Expectation–maximization algorithm Missing data Normal distribution Kernel density estimation Entropy Maximum likelihood Principle of maximum entropy Statistics Statistical theory Non-parametric statistics
49	Mass Estimation and Its Applications ∗ Kai Ming Ting, Guang-Tong Zhou , Fei Tony Liu, James Tan Swee Chuan † Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2013-09-06 18:14:15 Statistical theory Estimation theory M-estimators Kernel density estimation Maximum likelihood Robust statistics Gaussian function Density estimation Normal distribution Statistics Non-parametric statistics Machine learning
50	A nonparametric analysis of the shape dynamics of the US personal income distribution: [removed], October 2005 Add to Reading List Source URL: www.bis.org Language: English - Date: 2005-10-01 18:00:00 Kernel density estimation Density estimation Variable kernel density estimation Mixture distribution Mixture model Normal distribution Estimation theory Mode Parameter Statistics Non-parametric statistics Statistical inference

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