Automatic Transcription of Piano Music Automatic Transcription of Piano Music Christopher Raphael Univ. of Massachusetts, Amherst Department of Mathematics and Statistic

Source URL: music.informatics.indiana.edu

• Markov models
• Hidden Markov model
• Markov chain
• Speech recognition
• BaumWelch algorithm
• Viterbi algorithm
• Dynamic programming
• Stochastic process
• Image segmentation
• Forward algorithm
• Pattern theory

Stochastic Imitative Game Dynamics with Committed Agents∗ William H. Sandholm† January 16, 2012 Abstract We consider models of stochastic evolution in two-strategy games in which agents

Source URL: www.ssc.wisc.edu

• Probability theory
• Calculus
• Statistical theory
• Operations research
• Continuous function
• Limit of a function
• Big O in probability notation
• Limit superior and limit inferior
• Mathematical optimization
• Evolutionary game theory

A detailed overview of available models A L IST OF M ODELS AVAILABLE IN THE M ACROECONOMIC M ODEL DATA BASE (V ERSION 2.0, 59 MODELS ) 1. S MALL C ALIBRATED M ODELS 1.1

Source URL: www.macromodelbase.com

• Keynesian economics
• New classical macroeconomics
• Unemployment
• Demand
• New Keynesian economics
• Macroeconomics
• Phillips curve
• Inflation
• Aggregate demand
• Aggregate supply
• ISLM model
• Dynamic stochastic general equilibrium

Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1376 Stochastic Simulation of Multiscale Reaction-Diffusion Models via First Exit Times

Source URL: uu.diva-portal.org

Statistics 542 Spring 2016 Course Description: Bayesian Methods and Computation The goal of this course is to develop sophisticated tools for probability modeling and data analysis from the Bayesian perspective. Key topi

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

• Statistics
• Statistical theory
• Statistical inference
• Statistical models
• Sampling techniques
• Statistical mechanics
• Stochastic simulation
• Bayesian network
• Bayesian inference
• Bayesian statistics
• Bayesian
• Monte Carlo method

Optimal Fiscal and Monetary Policy 1 Background • We Have Discussed the Construction and Estimation of DSGE Models

Source URL: faculty.wcas.northwestern.edu

• Economics
• Macroeconomics
• Economy
• Macroeconomic policy
• Monetary policy
• Public finance
• Macroeconomic model
• Dynamic stochastic general equilibrium
• Demand for money
• Inflation
• Mathematical optimization
• Keynesian economics

Journal of International Economics

Source URL: www.ssc.wisc.edu

• Probability theory
• Stochastic processes
• Statistics
• Data
• Markov models
• Graph theory
• Markov chain
• Random walk
• Forecasting
• Estimation theory

Bayesian Learning via Stochastic Gradient Langevin Dynamics Max Welling D. Bren School of Information and Computer Science, University of California, Irvine, CA, USA Yee Whye Teh

Source URL: www.icml-2011.org

• Applied mathematics
• Statistical randomness
• Probability and statistics
• Monte Carlo methods
• Markov models
• Statistical mechanics
• Stochastic optimization
• Computational statistics
• Markov chain Monte Carlo
• Stochastic approximation
• Langevin dynamics
• Bayesian network

Stochastic models of partial discharge activity in solid and liquid dielectrics A.L. Kupershtokh, D.I. Karpov, D.A. Medvedev, C.P. Stamatelatos, V.P. Charalambakos, E.C. Pyrgioti and D.P. Agoris Abstract: A new model tha

Source URL: ancient.hydro.nsc.ru

Robustifying Bayesian nonparametric mixtures for count data Antonio Canale Department of Economics and Statistics and Collegio Carlo Alberto, University of Torino, Torino, Italy

Source URL: www.carloalberto.org

• Stochastic processes
• Statistical models
• Probability distributions
• Machine learning
• Statistical theory
• Mixture model
• PitmanYor process
• Dirichlet process
• Parametric model
• Poisson distribution
• Nonparametric statistics