<--- Back to Details
First PageDocument Content
Lattice models / Probability and statistics / Statistical mechanics / Probability space / Percolation theory / Potts model / Random variable / Structure / Ising model / Probability theory / Physics / Mathematics
Date: 2006-01-13 10:09:55
Lattice models
Probability and statistics
Statistical mechanics
Probability space
Percolation theory
Potts model
Random variable
Structure
Ising model
Probability theory
Physics
Mathematics

Chapter 1 T

Add to Reading List

Source URL: www.statslab.cam.ac.uk

Download Document from Source Website

File Size: 1,48 MB

Share Document on Facebook

Similar Documents

A subfactor is an inclusion of infinite dimensional algebras of operators on a Hilbert space that can be thought of as noncommutative probability spaces. It captures symmetries of the mathematical or physical objects fro

DocID: 1umbP - View Document

Probability, Parallelism and the State Space Exploration Problem William Knottenbelt1 , Mark Mestern2 , Peter Harrison1, and Pieter Kritzinger2 1 Department of Computing, Imperial College, 180 Queens Gate, London SW7 2B

DocID: 1sYTB - View Document

Injective Hilbert Space Embeddings of Probability Measures Bharath K. Sriperumbudur1∗, Arthur Gretton2 , Kenji Fukumizu3 , Gert Lanckriet1 and Bernhard Sch¨olkopf2 1 Department of ECE, UC San Diego, La Jolla, CA 9209

DocID: 1saLW - View Document

Probability / Probabilistic complexity theory / Probability theory / PRISM model checker / Software / Sample space / Model checking / Stochastic process / Randomized algorithm

Probabilistic Modeling and Model Checking Erika Ábrahám RWTH Aachen University, Germany SFM’14 Tutorial June 17, 2014

DocID: 1rrqu - View Document

Statistics / Estimation theory / Statistical theory / Probability distributions / Statistical inference / Bias of an estimator / Maximum likelihood estimation / Efficient estimator / Estimator / Uniform distribution / Normal distribution / Exponential distribution

Chapter 6 Parameter Estimation Take a random variable x described by a pdf f (x): the sample space is defined to be the set of all possible values of x. The set of n independent measurements of the random variable x, {x

DocID: 1rnil - View Document