An Introduction to Machine Learning L1: Basics and Probability Theory Alexander J. Smola Statistical Machine Learning Program Canberra, ACT 0200 Australia

Source URL: alex.smola.org

Learning to Predict Trajectories of Cooperatively Navigating Agents Henrik Kretzschmar Markus Kuderer Abstract— The problem of modeling the navigation behavior

Source URL: europa2.informatik.uni-freiburg.de

• Statistics
• Probability
• Statistical theory
• Markov models
• Bayesian statistics
• Information theory
• Probability distribution
• Principle of maximum entropy
• Reinforcement learning
• Entropy
• Markov chain
• Mode

Asger Hobolth Bioinformatics Research Center, Aarhus University Analysis of whole-genome population genetic data Joint work with Thomas Mailund and Mikkel Heide Schierup, Aarhus, and

Source URL: guanine.evolbio.mpg.de

• Statistical genetics
• Population genetics
• Biology
• Coalescent theory
• Academia
• Probability distributions

June 26, 2001; Remark 2 added August 7, 2002 Discussion of credit risks added Nov. 28, 2002 KENDALL’S TAU FOR ELLIPTICAL DISTRIBUTIONS∗ FILIP LINDSKOG, ALEXANDER MCNEIL, AND UWE SCHMOCK

Source URL: people.kth.se

• Mathematical analysis
• Probability
• Statistics
• Probability distributions
• Stable distributions
• Generalized functions
• Probability theory
• Normal distribution
• Characteristic function
• Distribution
• Multivariate normal distribution
• Correlation and dependence

Statistical inference for noisy nonlinear ecological dynamic systems

Source URL: www.maths.lth.se

• Statistical theory
• Probability and statistics
• Statistics
• Maximum likelihood estimation
• Stable distributions
• Bayesian statistics
• Statistical tests
• Model selection
• Likelihood function
• Estimation of covariance matrices
• Data transformation
• Likelihood-ratio test

Power Weighted Densities for Time Series Data

Source URL: www-stat.wharton.upenn.edu

• Statistics
• Statistical theory
• Probability
• Estimation theory
• Bayesian statistics
• Probability distributions
• M-estimators
• Maximum likelihood estimation
• Linear regression
• Posterior predictive distribution
• Prior probability
• Likelihood function

Cognitive Science–618 Copyright © 2014 Cognitive Science Society, Inc. All rights reserved. ISSN: printonline DOI: cogsInferring Learners’ Knowledge From Their Ac

Source URL: cocosci.berkeley.edu

• Dynamic programming
• Markov processes
• Stochastic control
• Cognitive science
• Probability theory
• Markov decision process
• Reinforcement learning
• Theory of mind
• Probability
• Psychology
• Cognition

Extreme Negative Dependence and Risk Aggregation Bin Wang∗ and Ruodu Wang† January 22, 2015 Abstract We introduce the concept of an extremely negatively dependent (END) sequence of random variables with a given commo

Source URL: sas.uwaterloo.ca

• Statistics
• Mathematical analysis
• Probability
• Probability distributions
• Algebra of random variables
• Probability theory
• Central limit theorem
• Variance
• Normal distribution
• Multivariate random variable
• Expected value
• Relationships among probability distributions

Measuring Inequality of Opportunity with Latent Variables Florian Wendelspiess Chávez Juárez (University of Geneva, Switzerland) Paper Prepared for the IARIW-IBGE Conference on Income, Wealth and Well-Being in Latin A

Source URL: www.iariw.org

• Statistics
• Probability theory
• Estimation theory
• Covariance and correlation
• Regression analysis
• Algebra of random variables
• Covariance
• Variance
• Correlation and dependence
• Expected value
• Ordinary least squares
• Factor analysis

Distributed Parallel Inference on Large Factor Graphs Joseph E. Gonzalez Carnegie Mellon University

Source URL: select.cs.cmu.edu

• Graphical models
• NP-complete problems
• Coding theory
• Belief propagation
• Probability theory
• Factor graph
• Graph partition
• Ear decomposition
• Distributed computing
• Matching
• Graph coloring
• RochaThatte cycle detection algorithm