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Non-uniform random numbers
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11	A∗ Sampling Chris J. Maddison Dept. of Computer Science University of Toronto Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2015-01-26 10:22:24 Monte Carlo methods Slice sampling Poisson processes Gumbel distribution Gibbs sampling Exponential distribution Estimation theory Order statistic Rejection sampling Statistics Markov chain Monte Carlo Non-uniform random numbers
12	A∗ Sampling Chris J. Maddison Dept. of Computer Science University of Toronto Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-01-26 08:34:54 Monte Carlo methods Slice sampling Poisson processes Gumbel distribution Gibbs sampling Exponential distribution Estimation theory Order statistic Rejection sampling Statistics Markov chain Monte Carlo Non-uniform random numbers
13	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
14	Walk, Not Wait: Faster Sampling Over Online Social Networks Azade Nazi‡ , Zhuojie Zhou†† , Saravanan Thirumuruganathan‡ , Nan Zhang†† , Gautam Das‡ ‡ ‡ Add to Reading List Source URL: www.vldb.org Language: English - Date: 2015-01-10 21:47:47 Statistical inference Non-uniform random numbers Markov chain Monte Carlo Random walk Rejection sampling Metropolis–Hastings algorithm Sample size determination Estimation theory Connectivity Statistics Monte Carlo methods Sampling
15	USER MANUAL UNURAN for Windows VERSION 0.6.0 INTRODUCTION Add to Reading List Source URL: statistik.wu-wien.ac.at Language: English - Date: 2006-01-05 04:03:47 Statistics Mathematics Non-uniform random numbers Pseudo-random number sampling Random number generation Random variate Pseudorandomness Probability distribution Mersenne twister Pseudorandom number generators Randomness Probability and statistics
16	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
17	Lecture notes: Eciency, statistics, and sampling Alex F Bielajew Institute for National Measurement Standards National Research Council of Canada Add to Reading List Source URL: rcwww.kek.jp Language: English - Date: 2012-07-09 09:49:17 Inductive reasoning Randomness Probability theory Non-uniform random numbers Normal distribution Cumulative distribution function Probability distribution Uniform distribution Random number generation Statistics Probability and statistics Monte Carlo methods
18	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
19	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
20	Chapter 16 Simulation You will recall from your previous statistics courses that quantifying uncertainty in statistical inference requires us to get at the sampling distributions of things like estimators. When the very Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2012-03-21 11:27:00 Monte Carlo methods Non-uniform random numbers Normal distribution Quantile function Cumulative distribution function Exponential distribution M-estimator Random number generation Rejection sampling Statistics Probability and statistics Mathematical analysis

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