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Poisson processes
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141	Chapter 4. Tsunami Probability ERIC L. GEIST, TOM PARSONS, URI S. TEN BRINK, AND HOMA J. LEE U.S. Geological Survey Contents 1. Introduction Add to Reading List Source URL: profile.usgs.gov Language: English - Date: 2012-06-22 20:43:34 Natural hazards Risk management Water waves Tsunami Exponential distribution Poisson distribution Probability distribution Earthquake Aftershock Statistics Poisson processes Earthquake engineering
142	(January 15, Discussion of the read paper by Peter McCullagh “Sampling bias and logistic models” (to appear in Journal of Royal Statistical Society Series B.) Professor Jesper Møller, Aalborg University. I we Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2008-01-15 11:51:17 Statistical models Point process Statistical inference Cox process Proportional hazards models Regression analysis Statistics Stochastic processes Poisson processes
143	Multiperiod Corporate Default Prediction – A Forward Intensity Approach Jin-Chuan Duan, Jie Sun and Tao Wang∗ (First Version: July 14, 2010; This Version: August 21, Abstract Add to Reading List Source URL: www.willisresearchnetwork.com Language: English - Date: 2013-08-02 05:12:03 Poisson processes Categorical data Estimation theory Logistic regression Likelihood function Stochastic process Cox process Statistics Regression analysis Statistical models
144	Score, Pseudo-Score and Residual Diagnostics for Spatial Point Process Models Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2012-03-01 03:01:33 Statistical tests Econometrics Poisson process Sufficient statistic Point process Likelihood function Score Exponential family Fisher information Statistics Estimation theory Stochastic processes
145	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 Computational geometry Diagrams Discrete geometry Voronoi diagram Point process Normal distribution Markov chain Poisson process Siméon Denis Poisson Statistics Stochastic processes Markov processes
146	Confidence and prediction intervals for generalised linear accident models G.R. Wood September 8, 2004 Department of Statistics, Macquarie University, NSW 2109, Australia Add to Reading List Source URL: stat.mq.edu.au Language: English - Date: 2009-07-18 23:01:14 Econometrics Poisson processes Measurement Prediction interval Poisson distribution Confidence interval Generalized linear model Normal distribution Confidence band Statistics Statistical inference Regression analysis
147	Characterizing Internet traffic: When the viewpoint matters - going workart of Msc Thesis Add to Reading List Source URL: www.intersys-lab.org Language: English - Date: 2010-04-26 14:37:42 Markov processes Queueing theory Traffic generation model Poisson process Pareto principle Power law Statistics Teletraffic Stochastic processes
148	Modern statistics for spatial point processes∗ June 21, 2006 Jesper Møller and Rasmus P. Waagepetersen Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2006-06-21 05:17:36 Point process Poisson process Markov chain Statistics Stochastic processes Markov processes
149	PDF Document Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2013-12-16 10:37:13 Martingale Counting process Central limit theorem Point process Laplace transform Normal distribution Statistics Stochastic processes Poisson process
150	PDF Document Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2013-12-02 04:45:49 Poisson processes Diagrams Discrete geometry Voronoi diagram Point process Constructible universe Gamma distribution Exponential distribution Statistics Stochastic processes Computational geometry

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