On Stochastic and Worst-case Models for Investing Elad Hazan IBM Almaden Research Center 650 Harry Rd, San Jose, CA 95120

Source URL: www.cs.princeton.edu

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

PHYSICS OF FLUIDS 23, Neutrally buoyant particle dynamics in fluid flows: Comparison of experiments with Lagrangian stochastic models Themistoklis P. Sapsis,1,a) Nicholas T. Ouellette,2,b)Jerry P. Gollub,3

Source URL: georgehaller.com

• Fluid dynamics
• Aerodynamics
• Transport phenomena
• Dimensionless numbers
• Colloidal chemistry
• Turbulence
• Stokes number
• NavierStokes equations
• Flow measurement
• Molecular diffusion
• Settling
• Reynolds number

The Choice of Stochastic Process in Real Option Valuation II: Selecting Multiple Factor Models Luiz de Magalh˜ aes Ozorio Department of Management, Ibmec Business School, Rio de Janeiro, Brazil

Source URL: www.realoptions.org

multi-bandit_techreport.dvi

Source URL: victorgabillon.nfshost.com

• Machine learning
• Multi-armed bandit
• Stochastic optimization
• Markov models
• Active learning
• Dynamic programming
• Reinforcement learning
• Variance

The “wrong skewness” problem in stochastic frontier models: A new approach Christian M. Hafner∗1 , Hans Manner2 , and L´eopold Simar1 1 Institute of statistics, biostatistics and actuarial sciences, Universit´e

Source URL: www.wisostat.uni-koeln.de

Load Balancing and Density Dependent Jump Markov Processes EXTENDED ABSTRACT Michael Mitzenmacher  Department of Computer Science U.C. Berkeley

Source URL: www.eecs.harvard.edu

• Probability theory
• Stochastic processes
• Probability
• Mathematical analysis
• Markov processes
• Markov models
• Queueing theory
• Network performance
• Markov chain
• Dynamical system
• Expected value
• Normal distribution

MONOTONE STOCHASTIC CHOICE MODELS: THE CASE OF RISK AND TIME PREFERENCES∗ JOSE APESTEGUIA† AND MIGUEL A. BALLESTER‡ Abstract. Suppose that, when evaluating two alternatives x and y by means of a parametric utility

Source URL: www.econ.upf.edu