An Alternative Prior Process for Nonparametric Bayesian Clustering Hanna M. Wallach Department of Computer Science University of Massachusetts Amherst

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

• Statistics
• Stochastic processes
• Statistical theory
• Probability
• Hierarchical Dirichlet process
• Dirichlet process
• PitmanYor process
• Chinese restaurant process
• Dirichlet distribution
• Mixture model
• Concentration parameter
• Pattern recognition

Martingale Optimal Transport H. Mete Soner (ETH Zurich) In the classical optimal transport problem, one is given twoprobability measures µ, ν on Rd and a function c on Ω := Rd × Rd and looksfor an extremal map that

Source URL: www.7ecm.de

• Mathematical analysis
• Analysis
• Stochastic processes
• Measure theory
• Martingale theory
• Transportation theory
• Martingale

c 2004 Nonlinear Phenomena in Complex Systems ° Randomness, Robustness and Statistical Effects of Non-Markovity in Stochastic Processes of Academic Student Activity

Source URL: www.j-npcs.org

CURRICULUM VITAE for S.G.Walker EDUCATION Sep 1976-NovSutton Manor High School, Sutton, Surrey. Oct 1984-JunOriel College, Oxford University (awarded Open Exhibition on entry to Oriel College). Oct 1992-Sep

Source URL: www.ma.utexas.edu

• Statistical inference
• Statistical theory
• Stochastic processes
• Statistical models
• Bayesian inference
• Statistical forecasting
• Bayesian statistics
• Dirichlet process
• Bayesian
• Statistics
• Mixture model

Stochastic classification models Peter McCullagh and Jie Yang ∗ Abstract. Two families of stochastic processes are constructed that are intended for use

Source URL: www.stat.uchicago.edu

mTunes: Efficient Post-Silicon Tuning of Mixed-Signal/RF Integrated Circuits Based on Markov Decision Process Manzil Zaheer and Fa Wang Chenjie Gu

Source URL: manzil.ml

• Markov models
• Markov processes
• Probability theory
• Applied mathematics
• Statistics
• Receiver
• Dynamic programming
• Markov decision process
• Stochastic control
• Tuner
• Artificial neural network
• Tuning

Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence Victor Gabillon Mohammad Ghavamzadeh

Source URL: victorgabillon.nfshost.com

• Stochastic processes
• Mathematics
• Queueing theory
• Scheduling algorithms
• Combinatorics
• Topology

Linear Programming for Large-Scale Markov Decision Problems Yasin Abbasi-Yadkori Queensland University of Technology, Brisbane, QLD, Australia 4000 Peter L. Bartlett University of California, Berkeley, CA 94720

Source URL: webdocs.cs.ualberta.ca

• Statistics
• Markov processes
• Statistical theory
• Estimation theory
• Dynamic programming
• Markov decision process
• Stochastic control
• Loss function
• Markov chain
• M-estimator
• Bearing pressure
• Jet bundle

A Scaling Result for Explosive Processes M. Mitzenmacher  J. Spencer

Source URL: www.eecs.harvard.edu

• Probability distributions
• Normal distribution
• Cumulative distribution function
• Statistical theory
• Stochastic processes
• Information theory
• Binomial distribution

Harmonic functions and stochastic processes with jumps Ante Mimica Abstract: Since the last century a link between differential operators and stochastic processes has been established and it is given through the infinite

Source URL: www.mathos.unios.hr