The Annals of Statistics 2009, Vol. 37, No. 2, 961–978 DOI: AOS594 © Institute of Mathematical Statistics, 2009 MATRIX REPRESENTATIONS AND INDEPENDENCIES IN

Source URL: www.math.chalmers.se

Statistical Science 2003, Vol. 18, No. 4, 489–514 © Institute of Mathematical Statistics, 2003 Graphical Models for Genetic Analyses Steffen L. Lauritzen and Nuala A. Sheehan

Source URL: www.stats.ox.ac.uk

Statistical Science 2005, Vol. 20, No. 3, 215–222 DOI088342305000000241 © Institute of Mathematical Statistics, 2005 Lying with Maps

Source URL: faculty.maxwell.syr.edu

The Annals of Applied Probability 2010, Vol. 20, No. 1, 238–266 DOI: AAP615 © Institute of Mathematical Statistics, 2010 COMMUTING BIRTH-AND-DEATH PROCESSES

Source URL: www.carolineuhler.com

Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition Marc’Aurelio Ranzato, Fu Jie Huang, Y-Lan Boureau, Yann LeCun Courant Institute of Mathematical Sciences, New York Universi

Source URL: www.cs.toronto.edu

• Neural networks
• Learning
• Statistical classification
• Pattern recognition
• Supervised learning
• Autoencoder
• Unsupervised learning
• Caltech 101
• Support vector machine
• Machine learning
• Statistics
• Artificial intelligence

An Introduction to Stochastic PDEs July 24, 2009 Martin Hairer The University of Warwick / Courant Institute

Source URL: www.hairer.org

• Fourier analysis
• Differential equations
• Stochastic calculus
• Stochastic differential equations
• Normal distribution
• Partial differential equation
• Gaussian measure
• Fourier transform
• Convolution
• Mathematical analysis
• Statistics
• Stochastic processes

Massachusetts Institute of Technology 6.042J/18.062J, Fall ’05: Mathematics for Computer Science Prof. Albert R. Meyer and Prof. Ronitt Rubinfeld Course Notes, Week 13 November 28

Source URL: ocw.mit.edu

• Probability and statistics
• Random variable
• Randomness
• Probability density function
• Independence
• Expected value
• Probability distribution
• Cumulative distribution function
• Variable
• Probability theory
• Mathematics
• Mathematical analysis

Maximum-likelihood estimation for the offset normal shape distributions using EM Alfred Kume Institute of Mathematics, Statistics and Actuarial Science, University of Kent Canterbury, CT2 7NF,UK

Source URL: www.ics.uci.edu

• Normal distribution
• Multivariate normal distribution
• Complex normal distribution
• Expectation–maximization algorithm
• Moment
• Exponential family
• Statistics
• Mathematical analysis
• Probability and statistics

Statistics, Causality and Bell’s theorem Richard D. Gill Mathematical Institute, University of Leiden, Netherlands http://www.math.leidenuniv.nl/~gill 20 July, 2012

Source URL: www.math.leidenuniv.nl

arXiv:math/0603345v2 [math.PR] 21 SepThe Annals of Probability 2006, Vol. 34, No. 4, 1273–1295 DOI: 009117906000000089 c Institute of Mathematical Statistics, 2006

Source URL: dutiosb.twi.tudelft.nl