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Non-parametric statistics
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311	Package ‘ash’ February 3, 2010 Version[removed]VersionSplus[removed]Title David Scott’s ASH routines Author S original by David W. Scott R port by Albrecht Gebhardt Add to Reading List Source URL: csan.insightful.com Language: English - Date: 2010-11-15 15:09:30 Linear algebra Non-parametric statistics Functions and mappings Matrix Vector space Polynomial Histogram Multivariate normal distribution Euclidean vector Algebra Mathematics Abstract algebra
312	An Information-Theoretic Approach to Detecting Changes in Multi-Dimensional Data Streams Tamraparni Dasu Shankar Krishnan Suresh Venkatasubramanian AT&T Labs – Research Ke Yi Add to Reading List Source URL: www.cse.ust.hk Language: English - Date: 2005-05-18 14:20:24 Non-parametric statistics Statistical tests Hypothesis testing Kullback–Leibler divergence Bootstrapping Resampling Normal distribution Information theory Kolmogorov–Smirnov test Statistics Statistical inference Statistical theory
313	Supplemental Methods Accounting for Compositional Structure in Relative Abundance Data Data summarized as relative, rather than absolute, abundances such as 16S profiling is known to be challenging to analyze due to comp Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Covariance and correlation Non-parametric statistics Statistical tests Resampling Bootstrapping Correlation and dependence Variance Statistics Statistical inference Data analysis
314	Reinforcement Learning to Adjust Robot Movements to New Situations Jens Kober Erhan Oztop Add to Reading List Source URL: www.roboticsproceedings.org Language: English - Date: 2014-08-18 07:52:17 Reinforcement learning Regression analysis Supervised learning Expectation–maximization algorithm Kernel regression Pattern recognition Gaussian function Statistics Machine learning Non-parametric statistics
315	econstor www.econstor.eu Der Open-Access-Publikationsserver der ZBW – Leibniz-Informationszentrum Wirtschaft The Open Access Publication Server of the ZBW – Leibniz Information Centre for Economics Add to Reading List Source URL: www.econstor.eu Language: English - Date: 2011-07-18 04:10:51 Statistical inference Functional analysis Non-parametric statistics Statistical tests Resampling Normal distribution Convolution Distribution Statistical hypothesis testing Statistics Mathematical analysis Information
316	Homework 7: Fun with Kernel Density Estimation[removed], Advanced Data Analysis Due at 10:30 am on Tuesday, 27 March[removed]A little theory (25 points total) R Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2012-03-20 23:18:56 Normal distribution Variance Kernel Gaussian function Random variable Density estimation Kernel regression Multivariate kernel density estimation Statistics Non-parametric statistics Kernel density estimation
317	Chapter 15 Estimating Distributions and Densities We have spent a lot of time looking at how to estimate expectations (which is regression). We have also seen how to estimate variances, by turning it into a problem abou Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2012-03-08 13:17:13 Gaussian function Histogram Normal distribution Kernel regression Density estimation Estimation theory Variance Maximum likelihood Kurtosis Statistics Non-parametric statistics Kernel density estimation
318	MDL Histogram Density Estimation Petri Kontkanen, Petri Myllym¨ aki Complex Systems Computation Group (CoSCo) Helsinki Institute for Information Technology (HIIT) Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2007-03-19 11:41:17 Statistical inference Histogram Minimum description length Maximum likelihood Density estimation Fisher information Statistics Non-parametric statistics Estimation theory
319	DISCRETE PDF ESTIMATION IN THE PRESENCE OF NOISE Byung-Jun Yoon and P. P. Vaidyanathan Dept. of Electrical Engineering California Institute of Technology, Pasadena, CA 91125, USA E-mail: [removed], ppvnath@syste Add to Reading List Source URL: authors.library.caltech.edu Language: English - Date: 2012-12-26 04:51:44 Non-parametric statistics Signal processing Kernel density estimation Z-transform Estimation theory Histogram Probability density function Additive white Gaussian noise Logarithm Statistics Mathematics Mathematical analysis
320	www.elsevier.com/locate/ynimg NeuroImage[removed] – 1265 Cortical thickness analysis in autism with heat kernel smoothing Moo K. Chung,a,b,c,* Steven M. Robbins,f Kim M. Dalton,c Richard J. Davidson,c,d Andrew L. Add to Reading List Source URL: www.stat.wisc.edu Language: English - Date: 2005-04-21 15:11:06 Neuroscience Biology Brain Non-parametric statistics Cognitive science Functional magnetic resonance imaging Cingulate cortex Cerebral cortex Voxel-based morphometry Neuroimaging Cerebrum Anatomy

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