DELFT UNIVERSITY OF TECHNOLOGY REPORTEfficient Pricing of Commodity Options with Early-Exercise under the Ornstein–Uhlenbeck process B. Zhang

Source URL: www.ewi.tudelft.nl

• Joseph Fourier
• Stochastic differential equations
• Fourier analysis
• Fourier transform
• Fourier series
• Normal distribution
• Symbol
• Trigonometric functions
• Characteristic function
• Mathematical analysis
• Statistics
• Probability theory

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

Source URL: www.gatsby.ucl.ac.uk

• Pitman–Yor process
• Chinese restaurant process
• Dirichlet distribution
• Concentration parameter
• Mixture model
• Bayesian inference
• Prior probability
• Statistics
• Stochastic processes
• Dirichlet process

Volume 42 • Issue 1 IMS  Bulletin January/February 2013

Source URL: bulletin.imstat.org

• Brownian motion
• Stochastic
• Schramm–Loewner evolution
• Probability theory
• Central limit theorem
• Wiener process
• Empirical process
• Annals of Mathematical Statistics
• Oded Schramm
• Statistics
• Stochastic processes
• Random walk

QUEUING THEORY AND ITS APPLICATION: ANALYSIS OF THE SALES CHECKOUT OPERATION IN ICA SUPERMARKET by Azmat Nafees

Source URL: www.statistics.du.se

• Markov models
• Markov processes
• Operations research
• Queueing model
• Utilization
• Poisson process
• FIFO
• Queue management system
• Pollaczek–Khinchine formula
• Statistics
• Stochastic processes
• Queueing theory

Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation James Foulds Levi Boyles

Source URL: www.ics.uci.edu

• Expectation–maximization algorithm
• Variational Bayesian methods
• Topic model
• Algorithm
• Gibbs sampling
• Natural language processing
• Dirichlet process
• Mathematical optimization
• Dynamic topic model
• Statistics
• Statistical natural language processing
• Latent Dirichlet allocation

Super-Samples from Kernel Herding Yutian Chen Department of Computer Science University of California, Irvine Irvine, CA 92697

Source URL: www.ics.uci.edu

• Data analysis
• Monte Carlo methods
• Exponentials
• Gaussian function
• Perceptron
• Gaussian process
• Monte Carlo integration
• Estimation theory
• Bootstrapping
• Statistics
• Statistical inference
• Stochastic processes

ORIGINAL RESEARCH ARTICLE published: 06 January 2014 doi: fnbotNEUROROBOTICS

Source URL: juxi.net

• Dynamic programming
• Stochastic control
• Markov models
• Partially observable Markov decision process
• Reinforcement learning
• Markov decision process
• Automated planning and scheduling
• Action selection
• Neurorobotics
• Statistics
• Markov processes
• Artificial intelligence

Anonymous Byzantine Consensus from Moderately-Hard Puzzles: A Model for Bitcoin Andrew Miller University of Central Florida Abstract—We present a formal model of synchronous processes

Source URL: tr.eecs.ucf.edu

• Fault-tolerant computer systems
• Consensus
• Bitcoin
• Stochastic processes
• Markov processes
• Distributed algorithm
• Poisson process
• Peer-to-peer
• Byzantine fault tolerance
• Statistics
• Computing
• Probability and statistics

1. Ruin probability for L´ evy processes. 2. Application. Ruin probability for Risk reserve process. Ruin probability for a process with

Source URL: www.eurandom.tue.nl

• Probability and statistics
• Markov models
• Poisson processes
• Markov chain
• Probability distribution
• Probability
• Statistics
• Stochastic processes
• Markov processes

ESTIMATING THE STRUCTURE OF INTERACTING COORDINATES FOR A MULTIVARIATE STOCHASTIC PROCESS Jes´us E. Garc´ıa1a and V. A. Gonz´alez-L´opez1b 1 a

Source URL: www.me.inf.kyushu-u.ac.jp