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Gamma process
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1	Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction Shay B. Cohen and Noah A. Smith Language Technologies Institute School of Computer Science Carnegie Mellon University Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-07-30 17:50:48 Probability distributions Variational Bayesian methods Dirichlet distribution Expectationmaximization algorithm Gamma distribution Latent Dirichlet allocation Multinomial distribution Normal distribution Bayesian network Dirichlet process Mixture model Exponential family
2	Models beyond the Dirichlet process Add to Reading List Source URL: www.carloalberto.org Language: English - Date: 2011-11-14 08:51:09 Stochastic processes Bayesian statistics Dirichlet process Gamma distribution Prior probability Probability distribution Support Exponentials Conjugate prior Statistics Mathematical analysis Probability and statistics
3	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
4	Tenth International Symposium on Capture Gamma Ray Spectroscopy and Related Topics (CGS10) Santa Fe, New Mexico, August 30 -September 3, 1999 Mass Measurements Along the rp-Process Path Add to Reading List Source URL: amdc.in2p3.fr Language: English - Date: 1999-11-03 09:59:28 Quantum mechanics Nucleosynthesis Astrophysics Radioactivity Supernovae Rp-process Gamma ray Gamma spectroscopy P-process Physics Nuclear physics Particle physics
5	3 DecemberAPPROXIMATE SIMULATION OF HAWKES PROCESSES JESPER MØLLER,∗ Aalborg University JAKOB G. RASMUSSEN,∗∗ Aalborg University Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2004-12-03 03:46:02 Stochastic processes Poisson process Convolution Gamma distribution Statistics Mathematical analysis Mathematics
6	Appendices A. Simulating Fat Tailed Distributions Suppose one wants to simulate a random variable of zero mean and unit variance, but with a given degree of tail fatness (fourth moment). Sticking to the more-or-less \bel Add to Reading List Source URL: www.mit.edu Language: English - Date: 2003-05-07 11:47:19 Kurtosis RiskMetrics Normal distribution Poisson distribution Standard deviation Probability distribution Variance Variance gamma process Cauchy distribution Statistics Data analysis Summary statistics
7	Procedia Social and Behavioral Sciences_jnl size.pdf Add to Reading List Source URL: gamma.cs.unc.edu Language: English - Date: 2014-09-16 13:20:36 Evacuation process simulation Agent-based model Computer simulation Simulation Boarding Crowd simulation Boeing 707 Statistics Knowledge Scientific modeling Science Multi-agent systems
8	Journal of Loss Prevention in the Process Industries, 25(3), ppMaydoi:j.jlpPrediction of occupational accident statistics and work time loss distributions using Bayesian analysis Ef Add to Reading List Source URL: ipta.demokritos.gr Language: English - Date: 2012-10-30 07:07:56 Poisson processes Conjugate prior Exponential distribution Normal distribution Bayesian inference Gamma distribution Parameter Sufficient statistic Empirical Bayes method Statistics Bayesian statistics Statistical theory
9	3 DecemberAPPROXIMATE SIMULATION OF HAWKES PROCESSES JESPER MØLLER,∗ Aalborg University JAKOB G. RASMUSSEN,∗∗ Aalborg University Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2004-12-03 03:46:02 Stochastic processes Poisson process Convolution Gamma distribution Statistics Mathematical analysis Mathematics
10	Generating concentration time series for simulation studies of hazardous plumes Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 22:33:38 Stationary process Stochastic differential equation Statistics Stochastic processes Gamma distribution

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