<--- Back to Details
First PageDocument Content
Estimation theory / Singular value decomposition / Statistical models / Principal component analysis / Expectation–maximization algorithm / Factor analysis / Mixture model / Eigenvalues and eigenvectors / Covariance matrix / Statistics / Multivariate statistics / Data analysis
Date: 2006-01-18 10:11:21
Estimation theory
Singular value decomposition
Statistical models
Principal component analysis
Expectation–maximization algorithm
Factor analysis
Mixture model
Eigenvalues and eigenvectors
Covariance matrix
Statistics
Multivariate statistics
Data analysis

Add to Reading List

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

Download Document from Source Website

File Size: 111,49 KB

Share Document on Facebook

Similar Documents

Statistical classification / Statistics / Probability and statistics / Mathematics / Support vector machine / Predictive modelling / K-nearest neighbors algorithm / Mathematical model / Data analysis / Spatial analysis / Regression analysis / Artificial neural network

Visualizing statistical models: Removing the blindfold Hadley Wickham, Dianne Cook and Heike Hofmann Department of Statistics MSMain St Houston TXe-mail:

DocID: 1xVjw - View Document

Estimation theory / Econometrics / Statistical inference / Estimator / Probability distribution fitting / M-estimators / Maximum likelihood estimation / Fisher information / Gamma distribution / Maximum spacing estimation

Noise-contrastive estimation: A new estimation principle for unnormalized statistical models Michael Gutmann Dept of Computer Science and HIIT, University of Helsinki

DocID: 1xUlB - View Document

Code Completion with Statistical Language Models Veselin Raychev Martin Vechev Eran Yahav

DocID: 1xToM - View Document

An Introduction to the Statistical Analysis of Agent-Based Models Giorgio Fagiolo https://mail.sssup.it/~fagiolo

DocID: 1vhKi - View Document

FallSTA4513: Statistical Models of Networks Lecture 3 — 24 September, 2014 Prof. Daniel M. Roy

DocID: 1vfwF - View Document