University of Vienna Vienna Graduate School of Economics Empirical Macroeconomics: Models and Methods Spring Semester 2013 Thomas A. Lubik

Source URL: www.vgse.at

• Economics
• Statistics
• Statistical theory
• Dynamic stochastic general equilibrium
• Econometrics
• Bayesian statistics
• Bayesian vector autoregression
• Macroeconomic model
• Bayesian inference
• Bayesian
• Prior probability
• Vector autoregression

Interactive HMM construction based on interesting sequences Szymon Jaroszewicz National Institute of Telecommunications Warsaw, Poland

Source URL: www.ke.tu-darmstadt.de

• Markov models
• Machine learning
• Probability
• Statistics
• Bioinformatics
• Computational linguistics
• Hidden Markov model
• Markov chain
• BaumWelch algorithm
• Speech recognition
• Expectationmaximization algorithm
• Association rule learning

Optimizing TTL Caches under Heavy-Tailed Demands Andrés Ferragut Ismael Rodríguez Fernando Paganini

Source URL: fi.ort.edu.uy

• Cache
• Analysis of algorithms
• Cache replacement policies
• Mathematics
• Asymptotically optimal algorithm
• Net
• Probability distributions
• Mathematical analysis
• Statistics

Mutual State-Based Capabilities for Role Assignment in Heterogeneous Teams Somchaya Liemhetcharat Manuela Veloso

Source URL: somchaya.org

• Probability theory
• Probability
• Statistics
• Robot
• Algorithm
• Expected value
• Variance
• Ethics
• Markov decision process
• Swarm behaviour

9th AIMS CONFERENCE – ABSTRACTS 160 Special Session 36: Stochastic Partial Di↵erential Equations and their Optimal Control

Source URL: www.aimsciences.org

• Mathematical analysis
• Calculus
• Probability theory
• Stochastic processes
• Partial differential equations
• Stochastic differential equations
• Differential equations
• Equations
• Brownian motion
• FokkerPlanck equation
• Filtering problem
• NavierStokes equations

Adaptive Discriminative Generative Model and Its Applications † Ruei-Sung Lin† David Ross‡ Jongwoo Lim† Ming-Hsuan Yang∗ University of Illinois ‡ University of Toronto ∗ Honda Research Institute

Source URL: www.cs.toronto.edu

• Statistics
• Probability
• Mathematical analysis
• Statistical models
• Machine learning
• Markov models
• Linear algebra
• Multivariate statistics
• Discriminative model
• Kalman filter
• Generative model
• Normal distribution

Hidden Markov Models Markov Models Hidden Markov Models

Source URL: cl.indiana.edu

• Markov models
• Probability theory
• Machine learning
• Probability
• Hidden Markov model
• Speech recognition
• Markov chain
• BaumWelch algorithm

Bibliography [1] R. Feynman. The Feynman Lectures on Physics http://www.feynmanlectures.caltech.edu [2] J. Ford. “How random is a coin toss?” Physics Today 40, Correlation and dependence http://en.wikipedia

Source URL: ihp-lx.ethz.ch

• Statistical inference
• Physics
• Particle Data Group
• Probability
• The Feynman Lectures on Physics
• Frequentist inference
• Science
• Barbara Jacak

Several problems in applied mathematics and statistics require integrating a function f over a high-dimensional domain. For example, estimating the partition function of a graphical model for a fixed set of parameters re

Source URL: mmds-data.org

Volunteer Waiver for Simon’s Cycles YANA Ride As a volunteer of the Simon’s Cycles YANA Ride, it is important that you have an understanding of the risks associated with your assigned duties. The following is intende

Source URL: www.yanacomoxvalley.com

• Actuarial science
• Financial risk
• Probability
• Risk
• Safety
• Occupational safety and health
• Probability and statistics
• Philosophical logic
• Academia