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

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

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

Journal of Consumer Research, Inc. The Motivating-Uncertainty Effect: Uncertainty Increases Resource Investment in the Process of Reward Pursuit Author(s): Luxi Shen, Ayelet Fishbach, and Christopher K. Hsee Source: Jou

Source URL: faculty.chicagobooth.edu

• Prospect theory
• Risk
• Probability
• Behavior
• Psychology
• Cognition
• Cognitive biases
• Motivational theories
• Motivation
• Certainty effect

Edward P. Gatzke Associate Professor Department of Chemical Engineering, University of South Carolina Professional Preparation and Appointments: Georgia Institute of Technology, Chemical Engineering, B.CHE. 1995, Highest

Source URL: www.che.sc.edu

• Engineering
• Mathematical optimization
• Operations research
• Science and technology
• Process engineering
• Global optimization
• American Institute of Chemical Engineers
• Model predictive control
• Control theory
• Polynomial chaos

Markov chain Monte Carlo for continuous-time discrete-state systems Vinayak A. P. Rao Gatsby Computational Neuroscience Unit

Source URL: www.stat.purdue.edu

• Statistics
• Probability theory
• Probability
• Markov processes
• Stochastic processes
• Markov models
• Markov chain Monte Carlo
• Gibbs sampling
• Bayesian network
• Monte Carlo method
• Markov chain
• Poisson point process

Capturing Proof Process Andrius Velykis A thesis submitted for the degree of Doctor of Philosophy

Source URL: www.ai4fm.org

• Automated theorem proving
• Formal methods
• Theoretical computer science
• Proof theory
• Logic in computer science
• Mathematical proof
• Proof assistant
• Isabelle
• Theorem
• Proof
• Formal verification

Partlow MIC RaPID Partlow MIC RaPID Y2K FUZZY LOGIC MODELS--

Source URL: www.mbhes.com

• Control theory
• Engineering
• Systems science
• Systems theory
• Cybernetics
• Process engineering
• Process management
• Control engineering
• Process control
• Controller
• Relay
• Setpoint

Asperger Syndrome: The Big Picture Neurotypical people, those of us who don’t have Asperger Syndrome (AS), tend to process social information quickly, efficiently and intuitively. People with AS process social informat

Source URL: www.aane.org

• Health
• Brain
• Cerebrum
• Psychiatric diagnosis
• Pervasive developmental disorders
• Autism
• Learning disabilities
• Emotion
• Social competence
• Emotional self-regulation
• Theory of mind
• Asperger syndrome

Atl Econ J DOIs11293Capital Theory and the Process of Inter-Temporal Coordination: The Austrian Contribution to the Theory of Economic Growth

Source URL: benjaminwpowell.com