Seeking Ergodicity in Dynamic Economies 1 Takashi Kamihigashia and John Stachurskib a Research

Source URL: johnstachurski.net

• Mathematical analysis
• Probability theory
• Mathematics
• Stochastic processes
• Ergodic theory
• Markov chain
• Mixing
• Ergodicity
• Law of large numbers
• Pi
• Asymptotic equipartition property
• Convergence of random variables

Typical Properties of Winners and Losers in Discrete Optimization Rene Beier∗ Max-Planck-Institut f¨ur Informatik Saarbr¨ucken

Source URL: www-i1.informatik.rwth-aachen.de

• Operations research
• Mathematical optimization
• Stochastic processes
• Convex optimization
• Expected value
• Normal distribution
• Probability density function
• Stochastic programming
• Convergence of random variables

Houston Journal of Mathematics c University of Houston Volume , No. , THICKNESS OF THE UNIT SPHERE, `1 -TYPES,

Source URL: page.mi.fu-berlin.de

• Metric geometry
• Banach space
• Functional analysis
• HahnBanach theorem
• Continuous function
• Separable space
• Complete metric space
• Probability theory
• BanachAlaoglu theorem
• Proofs of convergence of random variables

On Aggregation Sets and Lower-Convex Sets Tiantian Mao∗† and Ruodu Wang† November 24, 2014 Abstract It has been a challenge to characterize the set of all possible sums of random variables

Source URL: sas.uwaterloo.ca

• Probability theory
• Generalized functions
• Convex analysis
• Convergence
• Convergence of random variables
• Convex function
• Stochastic ordering
• Expected value
• Uniform integrability
• Distribution
• Continuous game
• Fourier transform

Telling cause from effect in deterministic linear dynamical systems Supplementary Material We have prepared an appendix to address the proofs for Proposition 3, Theorems 1 and 2 which we provide in the following sections

Source URL: jmlr.org

• Mathematical analysis
• Mathematics
• Analysis
• Operator theory
• Algebra of random variables
• Covariance
• Covariance and correlation
• Variance
• Monotone convergence theorem
• Pi
• Harmonic analysis
• Proof that is irrational

14:TOPIC. Convergence in distribution and related notions. This section studies the notion of the so-called convergence in distribution of real random variables. This is the kind of convergence that takes

Source URL: galton.uchicago.edu

Scaling Limits for the Transient Phase of Local Metropolis-Hastings Algorithms by Ole F. Christensen* and

Source URL: probability.ca

• Stochastic processes
• Markov models
• Markov chain Monte Carlo
• Theoretical computer science
• Metropolis–Hastings algorithm
• Random walk
• Algorithm
• Normal distribution
• Convergence of random variables
• Statistics
• Probability and statistics
• Monte Carlo methods

Journal of Computational and Applied Mathematics–105 www.elsevier.com/locate/cam Hydrodynamical methods for analyzing longest increasing subsequences a

Source URL: dutiosb.twi.tudelft.nl

• Probability theory
• Dynamic programming
• Longest increasing subsequence
• Poisson process
• Point process
• Convergence of random variables
• Permutation
• Statistics
• Stochastic processes
• Combinatorics

 Exercise 1 (Missing element & distinct elements). Assume we are reading a stream of n distinct integers in {1, . . . , n + 1}. I Question 1.1) Assume first that all of the elements in the stream are indeed distinct ele

Source URL: www.liafa.univ-paris-diderot.fr

• Mathematics
• Measure theory
• Support
• Randomized algorithm
• Independence
• Variance
• Expected value
• Errors-in-variables models
• Convergence of random variables
• Mathematical analysis
• Statistics
• Probability theory

“Global” Analyses Summer Lecture Series 2002 Thomas Jansen tjansen.gmu.edu or “Global” Analyses

Source URL: cs.gmu.edu

• Calculus
• Mathematical optimization
• Operations research
• Series
• Convergence of random variables
• Dominated convergence theorem
• Mathematical analysis
• Convergence
• Mathematics