PAWEL GORA, Concordia University, Montreal Properties of invariant densities of random maps We show a few results about the existence of absolutely continuous invariant measure (acim) for random maps both with constant p

Source URL: cms.math.ca

arXiv:cond-mat/0309045v1 [cond-mat.stat-mech] 1 Sep[removed]A measure of betweenness centrality based on random walks M. E. J. Newman Department of Physics and Center for the Study of Complex Systems,

Source URL: arxiv.org

• Theoretical computer science
• Networks
• Network analysis
• Algebraic graph theory
• Centrality
• Betweenness centrality
• Distance
• Girvan–Newman algorithm
• Shortest path problem
• Graph theory
• Mathematics
• Network theory

Almost None of the Theory of Stochastic Processes A Course on Random Processes, for Students of Measure-Theoretic Probability, with a View to Applications in Dynamics and Statistics Cosma Rohilla Shalizi with Aryeh Kont

Source URL: www.stat.cmu.edu

• Markov chain
• Stationary process
• Random walk
• Wiener process
• Central limit theorem
• Large deviations theory
• Mixing
• Stochastic differential equation
• Brownian motion
• Statistics
• Stochastic processes
• Ergodic theory

CHAPTER TWO DEFINITION OF OBSERVER In this chapter we define the concept observer. The previous chapter introduced this notion by concrete examples. We now abstract from these examples a formal definition. We discuss th

Source URL: www.cogsci.uci.edu

• Probability theory
• Dirac measure
• Support
• Sigma-algebra
• Measurable function
• Measure
• Random variable
• Borel set
• Disintegration theorem
• Mathematical analysis
• Mathematics
• Measure theory

3 June 2010 Increasing sets and product measures Let B = (Bi , i ∈ I) be a collection of random variables taking values 0 and 1, where I is some arbitrary index set. Write Px for the measure under which the (Bi ) are i

Source URL: www.stats.ox.ac.uk

A Sharp Small Deviation Inequality for the Largest Eigenvalue of a Random Matrix Guillaume Aubrun ´ Universit´e de Paris 6, Institut de Math´ematiques, Equipe d’Analyse Fonctionnelle,

Source URL: math.univ-lyon1.fr

• Functional analysis
• Measure theory
• Hermite polynomials
• Polynomials
• Wasserstein metric
• Hilbert space
• Tracy–Widom distribution
• Lp space
• Sturm–Liouville theory
• Mathematical analysis
• Mathematics
• Operator theory

doi:[removed]j.jbankfin[removed]

Source URL: www.ise.ufl.edu

• Linear regression
• Quantile regression
• Polynomial regression
• Quantile
• Coherent risk measure
• Coefficient of determination
• Multivariate random variable
• Errors and residuals in statistics
• Variance
• Statistics
• Regression analysis
• Expected shortfall

Sampling There are times when a reliable measure of current practice is needed (e.g. how often is informed consent being obtained, are care providers conducting post-fall huddles, etc.). One way to obtain this is to tak

Source URL: www.wrha.mb.ca

• Hypothesis testing
• Measurement
• Survey methodology
• Margin of error
• Confidence interval
• Random sample
• Sample size determination
• Statistical power
• Opinion poll
• Statistics
• Sampling
• Statistical inference

SUPPORT VECTOR MACHINE AND MAXIMUM LIKELIHOOD APPROACHES TO F-MEASURE OPTIMIZATION Trevor Rose Supervisor: A/ Prof. Spiridon Penev

Source URL: www.ontotext.com

• Linear classifier
• Support vector machine
• Binary classification
• Principle of maximum entropy
• Automatic summarization
• Margin classifier
• Random subspace method
• Statistics
• Statistical classification
• Machine learning

Idescat. SORT. The normal distribution in some constrained sample spaces. Volume 37 (1)

Source URL: www.idescat.cat

• Normal distribution
• Randomness
• Random variable
• Probability density function
• Measure
• Log-normal distribution
• Support
• Lebesgue measure
• Lp space
• Mathematical analysis
• Probability theory
• Probability and statistics