Journal of Theoretical Probability, Vol. 13, No. 1, 2000 Convergence of Empirical Processes for Interacting Particle Systems with Applications to Nonlinear Filtering P. Del Moral 1 and M. Ledoux 1

Source URL: www.math.univ-toulouse.fr

SHARP PROBABILITY ESTIMATES FOR GENERALIZED SMIRNOV STATISTICS KEVIN FORD Dedicated to the memory of Walter Philipp Abstract. We give sharp, uniform estimates for the probability that the empirical distribution function

Source URL: www.math.uiuc.edu

Exchangeable Inconsistent Priors for Bayesian Posterior Inference Max Welling Ian Porteous

Source URL: www.ics.uci.edu

• Dirichlet process
• Poisson distribution
• Principle of maximum entropy
• Prior probability
• Normal distribution
• Mixture model
• Gibbs sampling
• Empirical Bayes method
• Bayesian inference
• Statistics
• Probability and statistics
• Bayesian statistics

Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour Google Research and Tel Aviv Univ.

Source URL: www.cs.nyu.edu

• Machine learning
• Information theory
• Operator theory
• Kullback–Leibler divergence
• Thermodynamics
• Empirical risk minimization
• Entropy
• Hilbert space
• Multivariate normal distribution
• Statistics
• Statistical theory
• Probability and statistics

Volume 42 • Issue 1 IMS  Bulletin January/February 2013

Source URL: bulletin.imstat.org

• Brownian motion
• Stochastic
• Schramm–Loewner evolution
• Probability theory
• Central limit theorem
• Wiener process
• Empirical process
• Annals of Mathematical Statistics
• Oded Schramm
• Statistics
• Stochastic processes
• Random walk

New BLS Data on Worker and Job Flows: A Primer for Empirical Research

Source URL: faculty.chicagobooth.edu

• Measurement
• Probability interpretations
• Decision theory
• Cognition
• Uncertainty
• Risk
• Ambiguity aversion
• Precautionary savings
• Federal Reserve System
• Statistics
• Management
• Knowledge

Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study Sanjiv Kumar, Jonas August, and Martial Hebert The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213

Source URL: www.sanjivk.com

• Graphical models
• Bayesian statistics
• Probability theory
• Maximum likelihood
• Likelihood function
• Conditional random field
• Belief propagation
• Statistics
• Estimation theory
• M-estimators

  Plausible Scenarios For Artificial Intelligence in Preventing Catastrophes Given consistent empirical evidence demonstrating that the raising of red flags has resulted in a lower probability of essential actors heedi

Source URL: kyield.com

2 Probability distribution The probability distribution of a time series describes the probability that an observation falls into a specified range of values. An empirical probability distribution for a time series can b

Source URL: www.ltrr.arizona.edu

  Plausible Scenarios For Artificial Intelligence in Preventing Catastrophes Given consistent empirical evidence demonstrating that the raising of red flags has resulted in a lower probability of essential actors heedi

Source URL: www.kyield.com