A fractional derivative on the Wiener space and applications to approximation theory Stefan Geiss University of Innsbruck Given an abstract Wiener space on a probability space (M, Σ, µ) and Z ∈ L2 , we introduce a fr

Source URL: icsaa.iam.uni-bonn.de

Introduction to Statistical Learning Theory Olivier Bousquet1 , St´ephane Boucheron2 , and G´abor Lugosi3 1 Max-Planck Institute for Biological Cybernetics Spemannstr. 38, DT¨

Source URL: www.econ.upf.edu

• Machine learning
• Learning
• Artificial intelligence
• Supervised learning
• Statistical learning theory
• Empirical risk minimization
• Probability distribution
• Pattern recognition
• Generalization error
• Stability

arXiv:1402.6763v1 [math.OC] 27 FebLinear Programming for Large-Scale Markov Decision Problems Yasin Abbasi-Yadkori Queensland University of Technology

Source URL: arxiv.org

• Mathematics
• Mathematical analysis
• Dynamic programming
• Markov decision process
• Stochastic control
• Distribution
• Probability theory
• Jet bundle
• Table of stars with Bayer designations

Introduction Range of density measures Lévy group Measures and means Applications References

Source URL: thales.doa.fmph.uniba.sk

• Mathematics
• Probability theory
• Measure
• Natural density
• Probability measure
• Limit of a function
• Measure theory

Ann Inst Stat Math:1–24 DOIs10463Intrinsically weighted means and non-ergodic marked point processes Alexander Malinowski · Martin Schlather ·

Source URL: www.ism.ac.jp

• Ergodic theory
• Stochastic processes
• Statistics
• Signal processing
• Analysis
• Ergodic process
• Ergodicity
• Ergodic
• Weighting
• Probability and statistics

Abstract interpretation of probabilistic semantics David Monniaux http://www.di.ens.fr/~monniaux LIENS, 45 rue d’UlmParis cedex 5, France

Source URL: www-verimag.imag.fr

• Theoretical computer science
• Mathematics
• Mathematical logic
• Logic in computer science
• Programming language semantics
• Measure theory
• Boolean algebra
• Probability theory
• Denotational semantics
• Predicate transformer semantics
• Sigma-algebra
• PP

Inference of functional clustering patterns from non-functional data Long Nguyen Department of Statistics University of Michigan

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

• Statistics
• Statistical theory
• Probability
• Probability distributions
• Stochastic processes
• Dirichlet process
• Bayesian statistics
• Markov chain Monte Carlo
• Mixture distribution
• Statistical inference
• Concentration parameter
• Mixture model

Glossary abscissa 1) Math. the x-coordinate. address 1) Comp. a number that represents a location in memory. aggregate 1) Stat. to combine consecutive observations in a time series; for example, a monthly time series of

Source URL: www.burns-stat.com

• Mathematics
• Mathematical analysis
• Data types
• Regression analysis
• Probability theory
• Random variable
• Randomness
• Statistical theory
• Derivative
• Variable
• LOOP
• Parameter

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

Learning from Corrupted Binary Labels via Class-Probability Estimation Aditya Krishna Menon∗ ADITYA . MENON @ NICTA . COM . AU Brendan van Rooyen† BRENDAN . VANROOYEN @ NICTA . COM . AU

Source URL: jmlr.org

• Statistics
• Estimation theory
• Expectationmaximization algorithm
• Missing data
• Mathematical analysis
• Mathematics
• Probability distributions