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

Source URL: mathdept.ucr.edu

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

Source URL: pubs.doc.ic.ac.uk

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

Source URL: eceweb.ucsd.edu

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

Source URL: www.sti.uniurb.it

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

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

Source URL: ihp-lx.ethz.ch

• 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

Tongue movements in space and time: Exploring a dynamic view on speech articulation Alessandro Vietti in collaboration with A. Pini, S. Vantini & L. Spreafico Speech dynamics, social meaning, and phonological categories

Source URL: www.phonetik.uni-muenchen.de

• Hypothesis testing
• Statistics
• Knowledge
• Information
• Time series analysis
• Basel II
• Image processing
• Signal processing
• Smoothing
• Probability of default
• SEED
• Resampling

Drift Analysis A Tool for Analysing Randomised Search Heuristics1 Per Kristian Lehre ASAP Research Group School of Computer Science

Source URL: staffwww.dcs.shef.ac.uk

• Probability theory
• Mathematical analysis
• Probability
• Mathematics
• Probability axioms
• Event
• Sigma-algebra
• Stochastic process
• Martingale
• Markov chain
• Probability space

Contents Formaliz. MathModelling Real World Using Stochastic Processes and Filtration By Peter Jaeger . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Source URL: mizar.uwb.edu.pl

• Mathematical analysis
• Mathematics
• Probability theory
• Measure theory
• Mathematical logic
• Boolean algebra
• Sigma-algebra
• Borel set
• Probability space
• Pi system

A State-Space Model for National Football League Scores Mark E. GLICKMANand Hal S. STERN This articledevelopsa predictivemodel forNationalFootballLeague (NFL) game scoresusingdata fromtheperiodThe parameterso

Source URL: www.glicko.net

• Statistics
• Probability
• Mathematical analysis
• Probability distributions
• Gibbs sampling
• Markov chain Monte Carlo
• Kalman filter
• Regression analysis

arXiv:1112.2537v3 [math.PR] 19 JunMinimal elements of stopping time σ-algebras Tom Fischer∗ University of Wuerzburg This version: June 21, 2012

Source URL: arxiv.org

• Mathematical analysis
• Stochastic processes
• Mathematics
• Measure theory
• Analysis
• Probability theory
• Stopping time
• Sigma-algebra
• Hitting time
• Filtration
• Probability space
• Primitive recursive functional