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Inverse transform sampling
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1	This article was downloaded by: [University of Eastern Finland] On: 07 October 2013, At: 07:04 Publisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: Registered office: Mortime Add to Reading List Source URL: www.siltanen-research.net Language: English - Date: 2016-04-25 11:22:41 Image processing Medical imaging Signal processing Medical tests Inverse problems Iterative reconstruction CT scan Deconvolution Tomography Sampling Radon transform Tikhonov regularization
2	Random Variate Generation Raj Jain Washington University in Saint Louis Saint Louis, MO 63130 Add to Reading List Source URL: www.cs.wustl.edu Language: English - Date: 2008-11-05 11:12:56 Probability distributions Inverse Raj Jain Random variate Inverse transform sampling Uniform distribution
3	Package ‘Runuran’ February 19, 2015 Type Package Title R interface to the UNU.RAN random variate generators VersionDate Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2015-02-19 16:36:26 Randomness Probability theory Monte Carlo methods Inverse transform sampling Probability distribution Quantile function Normal distribution Random number generation Probability mass function Probability and statistics Statistics Non-uniform random numbers
4	PDF Document Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2015-02-19 16:36:26 Randomness Mathematical analysis Monte Carlo methods Normal distribution Inverse transform sampling Random number generation Quantile function Random variate Cumulative distribution function Statistics Probability and statistics Non-uniform random numbers
5	Total Variation Reconstruction From Quasi-Random Samples Colas Schretter1,2 , Ignace Loris3 , Ann Dooms1,2 and Peter Schelkens1,2 1 Vrije Universiteit Brussel, Dept. of Electronics and Informatics, Pleinlaan 2, B-1050 Br Add to Reading List Source URL: homepages.ulb.ac.be Language: English - Date: 2014-02-26 11:10:13 Randomness Non-uniform random numbers Monte Carlo methods Numerical analysis Sampling Low-discrepancy sequence Peak signal-to-noise ratio Pseudo-random number sampling Inverse transform sampling Mathematics Applied mathematics Probability and statistics
6	1 Introduction Non-uniform random variate generation is a small ﬁeld of research somewhere between mathematics, statistics and computer science. It started in the ﬁfties of the last century in the “stone-age” of Add to Reading List Source URL: statistik.wu-wien.ac.at Language: English - Date: 2006-10-24 05:17:21 Randomness Applied mathematics Monte Carlo methods Pseudorandom number generators Random variate Random number generation Pseudorandomness Exponential distribution Inverse transform sampling Non-uniform random numbers Probability and statistics Statistics
7	UNU.RAN User Manual Generating non-uniform random numbers Version 1.8.0, 25 October 2010 Josef Leydold Wolfgang H¨ Add to Reading List Source URL: statistik.wu-wien.ac.at Language: English - Date: 2010-10-25 12:24:27 Non-uniform random numbers Randomness Normal distribution Pseudo-random number sampling Inverse transform sampling Random number generation Probability distribution Random variate Pseudorandom number generator Statistics Probability and statistics Mathematical analysis
8	1 Supporting Australian Mathematics Project Add to Reading List Source URL: www.amsi.org.au Language: English - Date: 2013-11-06 00:06:08 Probability distribution Cumulative distribution function Probability density function Random variable Variance Uniform distribution Expected value Variable Inverse transform sampling Probability theory Statistics Probability and statistics
9	SLUO Statistics Lecture 10 Add to Reading List Source URL: www-group.slac.stanford.edu Language: English - Date: 2004-11-12 17:12:30 Mathematics Numerical analysis Statistical mechanics Non-uniform random numbers Probabilistic complexity theory Inverse transform sampling Pseudorandomness Expected value Importance sampling Probability and statistics Applied mathematics Monte Carlo methods
10	Eurographics Symposium on Rendering[removed]Kavita Bala, Philip Dutré (Editors) Adaptive Numerical Cumulative Distribution Functions for Efficient Importance Sampling Jason Lawrence Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2008-09-08 15:30:00 Non-uniform random numbers Computational statistics Inverse transform sampling Monte Carlo integration Cumulative distribution function Rejection sampling Probability distribution Importance sampling Sampling Monte Carlo methods Statistics Probability and statistics

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