QUASISTATIONARITY AND THE RELATIVE ENTROPY OF PROBABILITY MEASURES L.A. BREYER Abstract. Consider a Markov process X with finite lifetime. In this paper, we derive sufficient conditions for the convergence of the law of

Source URL: www.lbreyer.com

Classical Young Measures in the Calculus of Variations Author: Marcus Webb Supervisor: Filip Rindler Cambridge Centre for Analysis

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

• Mathematical analysis
• Measure theory
• Operator theory
• Fourier analysis
• Differential forms
• Complex analysis
• Weakly measurable function
• Sobolev space
• Closed and exact differential forms
• Convergence of measures
• Dirac delta function
• Differential forms on a Riemann surface

Convergence of Measures in a Non-Archimedean Stochastic Setting Erik Makino Bakken1 Joint work with Trond Digernes1 and David Weisbart2 1 Department of Mathematical Sciences The Norwegian University of Science and Techno

Source URL: p-adics2015.matf.bg.ac.rs

Convergence of path measures arising from a mean field or polaron type interaction? Erwin Bolthausen1 , Jean-Dominique Deuschel2 , and Uwe Schmock1 1 2

Source URL: www.fam.tuwien.ac.at

• Mathematical analysis
• Probability
• Statistics
• Normal distribution
• Operator theory
• Mixing
• Distribution
• Polar coordinate system
• Symbol

Convergence of latent mixing measures in finite and infinite mixture models Long Nguyen Department of Statistics University of Michigan

Source URL: dept.stat.lsa.umich.edu

• Statistics
• Probability
• Estimation theory
• Stochastic processes
• Statistical models
• Probability distributions
• Cluster analysis
• Mixture model
• Dirichlet process
• Mixture distribution
• Identifiability

ON CHOOSING AND BOUNDING PROBABILITY METRICS ALISON L. GIBBS AND FRANCIS EDWARD SU Manuscript version January 2002 Abstract. When studying convergence of measures, an important issue is the choice of probability metric.

Source URL: www.math.hmc.edu

• Measure theory
• Metric geometry
• Mathematics
• Wasserstein metric
• Statistical distance
• Symbol
• Kullback–Leibler divergence
• Probability space
• Radon–Nikodym theorem
• Mathematical analysis
• Probability theory
• Statistics

Inconsistency of Measure-Theoretic Probability Guang-Liang Li ∗ Victor O.K. Li Department of Electrical and Electronic Engineering The University of Hong Kong {glli,vli}@eee.hku.hk

Source URL: www.eee.hku.hk

• Statistics
• Probability space
• Random variable
• Convergence of measures
• Probability distribution
• Event
• Probability axioms
• Elementary event
• Stochastic process
• Probability theory
• Mathematical analysis
• Probability

Weak convergence of rescaled discrete objects in combinatorics Jean-Fran¸cois Marckert (LaBRI - Bordeaux) −◦−◦−◦−◦−◦−◦−◦−◦− O. What are we talking about? - Pictures I. Random variables,

Source URL: www.ime.usp.br

• Probability theory
• Convergence of random variables
• Central limit theorem
• Random variable
• Weak convergence
• Continuous function
• Product topology
• Distribution
• Convergence of measures
• Mathematical analysis
• Mathematics
• Statistics

The Strategic Impact of Higher-Order Beliefs⇤ Yi-Chun Chené Alfredo Di Tillioè Eduardo Faingoldê

Source URL: www.parisschoolofeconomics.eu

• General topology
• Convergence
• Calculus
• Measure theory
• Uniform convergence
• Topological space
• Product topology
• Weak convergence
• Convergence of measures
• Mathematical analysis
• Mathematics
• Topology

9DQFRXYHU&HQWUHRI([FHOOHQFH 5HVHDUFKRQ,PPLJUDWLRQDQG ,QWHJUDWLRQLQWKH0HWURSROLV :RUNLQJ 3DSHU 6HULHV

Source URL: mbc.metropolis.net

• Welfare economics
• Gross domestic product
• Per capita income
• Measures of national income and output
• Economic growth
• Purchasing power parity
• Convergence
• Euro
• Economic indicators
• Economics
• National accounts