<--- Back to Details
First PageDocument Content
Econometrics / Statistical theory / Non-parametric statistics / Linear regression / Predictive analytics / Statistical inference / Expectation–maximization algorithm / Maximum likelihood / Meta-analysis / Statistics / Estimation theory / Regression analysis
Date: 2014-07-27 19:20:02
Econometrics
Statistical theory
Non-parametric statistics
Linear regression
Predictive analytics
Statistical inference
Expectation–maximization algorithm
Maximum likelihood
Meta-analysis
Statistics
Estimation theory
Regression analysis

N EWS AND N OTES 166 Changes on CRAN[removed]to[removed]

Add to Reading List

Source URL: journal.r-project.org

Download Document from Source Website

File Size: 445,97 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