A Tutorial on Probability Theory Paola Sebastiani Department of Mathematics and Statistics University of Massachusetts at Amherst

Source URL: www.sci.utah.edu

The Sequence Memoizer ∗ Frank Wood Department of Statistics

Source URL: www0.cs.ucl.ac.uk

Semiparametric Mixtures of Regressions Penn State Dept. of Statistics Technical Report #11-02 David R. Hunter and Derek S. Young Department of Statistics, Penn State University February 9, 2011

Source URL: sites.stat.psu.edu

Risk Aggregation and Fr´echet Problems Part I - Basic concepts, Preliminaries and Examples Ruodu Wang http://sas.uwaterloo.ca/~wang Department of Statistics and Actuarial Science

Source URL: sas.uwaterloo.ca

Parametrically assisted nonparametric estimation of a density in the deconvolution problem Aurore Delaigle and Peter Hall Department of Mathematics and Statistics, University of Melbourne, Australia Abstract: Nonparametr

Source URL: www.ms.unimelb.edu.au

Computational methods for mixed models Douglas Bates Department of Statistics University of Wisconsin – Madison November 22, 2014 Abstract

Source URL: cran.rstudio.com

CS 559: Homework Set 2 Due: October 8, 6:00pm Philippos Mordohai Department of Computer Science Stevens Institute of Technology

Source URL: www.cs.stevens.edu

• Statistical classification
• Artificial intelligence
• Statistics
• Learning
• K-nearest neighbors algorithm
• Naive Bayes classifier
• Classifier
• OpenCV

Creating R Packages: A Tutorial Friedrich Leisch Department of Statistics, Ludwig-Maximilians-Universit¨at M¨ unchen, and R Development Core Team, September 14, 2009

Source URL: cran.bilkent.edu.tr

Maximum likelihood estimation of a migration matrix and effective population sizes in n subpopulations by using a coalescent approach Peter Beerli* and Joseph Felsenstein Department of Genetics, University of Washington,

Source URL: evolution.gs.washington.edu

• Statistics
• Statistical theory
• Statistical genetics
• Estimation theory
• Population genetics
• Coalescent theory
• M-estimators
• Maximum likelihood estimation
• Likelihood-ratio test
• Likelihood function
• Substitution model
• Confidence interval

Computer Literacy Statistics – 2015 (First six months) Department of Census and Statistics Sri Lanka ISSN

Source URL: www.statistics.gov.lk

• Technology
• Language
• Literacy
• Digital divide
• Digital media
• Reading
• Sri Lanka
• Internet
• Information and communications technology
• Computer literacy
• Literacy in India