<--- Back to Details
First PageDocument Content
Statistical models / Statistical theory / Expectation–maximization algorithm / Missing data / Mixture model / Maximum likelihood / Least squares / Normal distribution / Mixture distribution / Statistics / Estimation theory / Regression analysis
Date: 2014-08-20 04:20:15
Statistical models
Statistical theory
Expectation–maximization algorithm
Missing data
Mixture model
Maximum likelihood
Least squares
Normal distribution
Mixture distribution
Statistics
Estimation theory
Regression analysis

Mixture models for describing some strange looking datasets

Add to Reading List

Source URL: www.rsc.org

Download Document from Source Website

File Size: 127,05 KB

Share Document on Facebook

Similar Documents

Stat 928: Statistical Learning Theory Lecture: 4 The Central Limit Theorem; Large Deviations; and Rate Functions Instructor: Sham Kakade

DocID: 1vkcR - View Document

Stat 928: Statistical Learning Theory Lecture: 22 Exponentiated Gradient Descent Instructor: Sham Kakade

DocID: 1vbLp - View Document

ECE901 Spring 2007 Statistical Learning Theory Instructor: R. Nowak Lecture 13: Maximum Likelihood Estimation

DocID: 1vbHd - View Document

Statistical learning theory : a primer Louis Wehenkel University of Li`ege - Institut Montefiore Department of Electrical Engineering and Computer Science Email : February 1, 2018

DocID: 1v6Ai - View Document

Stat 928: Statistical Learning Theory Lecture: 19 Perceptron Lower Bound & The Winnow Algorithm Instructor: Sham Kakade

DocID: 1v3Qc - View Document