Generic Stationary Measures and Actions Lewis Bowen∗, Yair Hartman†and Omer Tamuz‡ August 14, 2015 Abstract Let G be a countably infinite group, and let µ be a generating probability measure

Source URL: people.hss.caltech.edu

• Mathematical analysis
• Mathematics
• Topology
• Stochastic processes
• Measure theory
• Ergodic theory
• Topological vector spaces
• Compactification
• Poisson boundary
• Mixing
• Measure-preserving dynamical system
• Amenable group

Connecting the Dots Between News Articles Dafna Shahaf Carlos Guestrin Carnegie Mellon University

Source URL: select.cs.cmu.edu

• Stochastic processes
• Random walk
• Coherence
• Semantics

Risk Price Dynamics∗ Jaroslav Boroviˇcka Lars Peter Hansen† Mark Hendricks

Source URL: borovicka.org

• Mathematical finance
• Stochastic processes
• Stochastic calculus
• Financial economics
• Markov chain
• Girsanov theorem
• Stochastic discount factor
• Economic model
• Price elasticity of demand

Accounting for Exchange-Rate Variability in Present-Value Models When the Discount Factor Is Near 1 By CHARLES ENGEL AND

Source URL: www.ssc.wisc.edu

• Stochastic processes
• Actuarial science
• Discounting
• Monetary policy
• Variance
• Random walk
• Instrumental variable

Stochastic Activity Authoring with Direct User Control Aline Normoyle∗ University of Pennsylvania Maxim Likhachev † Carnegie Mellon University

Source URL: www.alinenormoyle.com

• Simulation
• Stochastic processes
• Operations research
• Scientific modeling
• Models of computation
• Markov chain
• Random walk
• Crowd simulation
• Agent-based model
• Stochastic
• Traffic flow

Statistical Inference for Stochastic Processes:283–309 DOIs11203z © SpringerBayesian Nonparametric Analysis for a

Source URL: economia.unipv.it

Course: IENGApplied Stochastic Processes Semester: Spring 2014 Number of credit hours: 3 Instructor: Office Hours:

Source URL: imse.statler.wvu.edu

The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty Ron Alterovitz Thierry Sim´eon

Source URL: goldberg.berkeley.edu

• Probability theory
• Mathematical analysis
• Mathematics
• Markov processes
• Robot control
• Classical mechanics
• Markov models
• Dynamic programming
• Motion planning
• Stochastic roadmap simulation
• Probabilistic roadmap
• Markov decision process

Learning Conditional Latent Structures from Multiple Data Sources Viet Huynh1(B) , Dinh Phung1 , Long Nguyen2 , Svetha Venkatesh1 , and Hung H. Bui3 1

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

• Statistics
• Probability
• Statistical natural language processing
• Probability distributions
• Stochastic processes
• Machine learning
• Statistical models
• Latent Dirichlet allocation
• Dirichlet process
• Dirichlet distribution
• Mixture model
• Gibbs sampling

On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes Alexander G. de G. Matthews1 , James Hensman2 , Richard E. Turner1 , Zoubin Ghahramani1 1

Source URL: jmlr.org