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Poisson point process
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11	Multil-level Weiner-Hopf Monte-Carlo simulation for Lévy processes Add to Reading List Source URL: www.ccfz.ch Language: English - Date: 2012-09-16 09:45:23 Stochastic processes Lvy processes Statistical mechanics Markov processes Sampling techniques Brownian motion Poisson point process Stochastic Monte Carlo method
12	images/test_user_webdesign.eps Add to Reading List Source URL: www.kecl.ntt.co.jp Language: English - Date: 2013-10-02 11:00:05 Probability theory Mathematical analysis Statistical theory Infinitely divisible probability distributions Survival analysis Poisson point process Exponential distribution Latent Dirichlet allocation Expectationmaximization algorithm
13	Upsetting the contingency table: Causal induction over sequences of point events Michael D. Pacer () Thomas L. Griffiths (tom ) Department of Psychology, 3210 Tolman Hall Berkeley Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2015-05-01 19:51:40 Mathematical analysis Probability Statistics Poisson processes Probability distributions Infinitely divisible probability distributions Stochastic processes Philosophy of science Poisson distribution Poisson point process Exponential distribution Causality
14	The Ciliate Paramecium Shows Higher Motility in Non-Uniform Chemical Landscapes Carl Giuffre1, Peter Hinow2, Ryan Vogel3, Tanvir Ahmed4, Roman Stocker4, Thomas R. Consi1, J. Rudi Strickler1 1 Great Lakes WATER Institute Add to Reading List Source URL: stockerlab.ethz.ch Language: English* - Date: 2015-12-16 11:47:58 Statistics Mathematical analysis Probability Ciliates Paramecium Probability distributions Biotechnology Nanotechnology Poisson distribution Poisson point process Index of dispersion Microfluidics
15	Markov chain Monte Carlo for continuous-time discrete-state systems Vinayak A. P. Rao Gatsby Computational Neuroscience Unit Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2014-08-30 13:43:20 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
16	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 Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2006-01-10 11:19:08
17	Lectures: 1. Intro to point processes and moment measures 2. The Poisson process Statistical models and methods for spatial point processes Add to Reading List Source URL: csgb.dk Language: English - Date: 2014-02-25 08:00:31
18	TRANSFORMING SPATIAL POINT PROCESSES INTO POISSON PROCESSES USING RANDOM SUPERPOSITION By Jesper Møller∗ and Kasper K. Berthelsen∗ Aalborg University Most finite spatial point process models specified by a density Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2010-07-30 02:42:25
19	Introduction to spatial point processes Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2011-12-09 08:45:04 Measure theory Markov processes Point process Poisson process Locally finite measure Support Probability distribution Measure Borel set Statistics Mathematical analysis Stochastic processes
20	Stochastic Geometry and Random Tessellations Jesper Møller1 and Dietrich Stoyan2 1 2 Department of Mathematical Sciences, Aalborg University, Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2007-10-25 08:57:08 Diagrams Discrete geometry Mosaic Tessellation Voronoi diagram Point process Stochastic geometry Poisson process Dietrich Stoyan Statistics Stochastic processes Markov processes

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