article · 2005
Lectures on Statistical Modeling Theory
J. Rissanen
Cited by 15Abstract and details only
Abstract
Contents I Introduction Part I INFORMATION AND CODING 8 8 2.1 Basics of Coding with Random Variables ......................... 8 2.2 Basic Properties of Entropy and Related Quantities .................. 11 2.3 Channel Capacity ...................................... 13 2.4 Chain Rules ......................................... 14 2.5 Jensen's Inequality ..................................... 15 2.6 Theory of Types ...................................... 16 2.7 Equipartition Property ................................... 17 3.1 Random Processes ..................................... 18 3.2 Entropy of Stationary Processes .............................. 19 3.3 Markov processes ...................................... 20 3.4 Tree Machines ....................................... 21 3.5 Tunstall's Algorithm .................................... 22 3.6 Arithmetic Codes ...................................... 24 Universal Coding 28 4.1 Lempel-Ziv - and Ma - Algorithms ............................ 29
Cite this paper
Rissanen, J. (2005). Lectures on Statistical Modeling Theory.
Rissanen, J. “Lectures on Statistical Modeling Theory.” 2005.
Rissanen, J. 2005. “Lectures on Statistical Modeling Theory.”
Rissanen, J. (2005) ‘Lectures on Statistical Modeling Theory’.
@article{rissanen2005lectures,
title = {{Lectures on Statistical Modeling Theory}},
author = {Rissanen, J.},
year = {2005}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.