Approximation properties of random polytopes associated with Poisson hyperplane processes Daniel Hug and Rolf Schneider Abstract We consider a stationary Poisson hyperplane process with given directional distribution

Source URL: home.mathematik.uni-freiburg.de

The contagious Poisson process is a Markov process which has been used to represent the reinforcement of events. Standard methodsfor estimating and testing this model are shown to be generally inefficient and usually inc

Source URL: statisticalhorizons.com

On the link between volatility and growth Olaf Posch(a) and Klaus W¨alde(b) (a) Aarhus University and CREATES, CESifo (b) University of Mainz, CESifo, and UCL Louvain la Neuve∗

Source URL: www.oposch.com

• Technical analysis
• Stochastic processes
• Volatility
• Poisson process
• Neoclassical growth model
• Real business cycle theory
• Statistics
• Macroeconomics
• Mathematical finance

Exchangeable Inconsistent Priors for Bayesian Posterior Inference Max Welling Ian Porteous

Source URL: www.ics.uci.edu

• Dirichlet process
• Poisson distribution
• Principle of maximum entropy
• Prior probability
• Normal distribution
• Mixture model
• Gibbs sampling
• Empirical Bayes method
• Bayesian inference
• Statistics
• Probability and statistics
• Bayesian statistics

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

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

Bayesian analysis of spatial point processes in the neighbourhood of Voronoi networks Øivind Skare∗, Jesper Møller†, Eva B. Vedel Jensen‡ ABSTRACT: A model for an inhomogeneous Poisson process with high intensity

Source URL: people.math.aau.dk

Variational analysis of Poisson processes Ilya Molchanov and Sergei Zuyev Abstract The expected value of a functional F(η) of a Poisson process η can be considered a function of its intensity measure µ. The paper surv

Source URL: www.math.chalmers.se

In Aghion-Howitt book, page 57: Poisson Process modeled as: Cumulative distr. for event before T FT  1 − e −T fT  e −T Density gx  prob. that x events occurs in the Δ inte

Source URL: www.econ.nyu.edu