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Random variable
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121	C ONTRIBUTED RESEARCH ARTICLE 1 Manipulation of Discrete Random Variables with discreteRV Add to Reading List Source URL: journal.r-project.org Language: English - Date: 2015-05-06 11:20:02 Mathematical analysis Random variable Probability mass function Expected value Probability distribution Independence Marginal distribution Conditional probability distribution Variance Probability theory Statistics Probability and statistics
122	Exercise 1 (Missing element & distinct elements). Assume we are reading a stream of n distinct integers in {1, . . . , n + 1}. I Question 1.1) Assume first that all of the elements in the stream are indeed distinct ele Add to Reading List Source URL: www.liafa.univ-paris-diderot.fr Language: English - Date: 2015-01-20 10:03:20 Applied mathematics Randomized algorithm Support Variance Random variable Universal hashing Euclidean algorithm Probability theory Theoretical computer science Statistics
123	What can be computed without communications? Heger Arfaoui and Add to Reading List Source URL: www.liafa.jussieu.fr Language: English - Date: 2012-04-26 12:02:48 Quantum complexity theory PP Independence Random variable Support Function Quantum nonlocality Mathematics Probability theory Applied mathematics
124	Teaching Mathematics and its Applications Advance Access published July 29, 2014 Teaching Mathematics and Its Applications Page 1 of 14 doi:teamat/hru019 The two envelope problem: there is no conundrum Add to Reading List Source URL: www.staff.ul.ie Language: English - Date: 2014-10-14 05:34:05 Two envelopes problem Game theory Envelope Monty Hall problem Expected value Random variable Flight envelope Timbre Mathematics Decision theory Probability
125	IA Probability Examples Sheet 2, LentW. T. G. 1. A coin with probability p of heads is tossed n times. Let E be the event “a head is obtained on the first toss2 and let Fk be the event “exactly k Add to Reading List Source URL: www.dpmms.cam.ac.uk Language: English - Date: 2009-02-07 05:01:03 Mathematical analysis Random variable Variance Probability distribution Independence Poisson distribution Probability-generating function Probability density function Statistics Probability theory Probability and statistics
126	Weak Dynamic Programming for Generalized State Constraints ∗ Bruno Bouchard Add to Reading List Source URL: www.math.columbia.edu Language: English - Date: 2012-10-19 17:18:24 Deduction Operations research Entailment Logical consequence Metalogic Random variable Dynamic programming Monotone convergence theorem Logic Mathematical analysis Mathematics
127	On the Estimation and Compression of Distributed Correlated Signals with Incomplete Observations Hendra I. Nurdin∗ , Ravi R. Mazumdar† , and Arunabha Bagchi∗ {h.i.nurdin,a.bagchi}@math.utwente.nl, ue. Add to Reading List Source URL: ece.uwaterloo.ca Language: English - Date: 2004-05-18 17:23:21 Data analysis Multivariate statistics Covariance and correlation Algebra of random variables Probability theory Principal component analysis Covariance Multivariate random variable Variance Statistics Algebra Mathematics
128	Superhedging and Dynamic Risk Measures under Volatility Uncertainty Marcel Nutz ∗ Add to Reading List Source URL: www.math.columbia.edu Language: English - Date: 2012-06-19 13:31:57 Mathematical finance Financial risk Martingale Local martingale Itō calculus Wiener process Random variable Superhedging price Stopping time Statistics Stochastic processes Martingale theory
129	A Quasi-Sure Approach to the Control of Non-Markovian Stochastic Dierential Equations Marcel Nutz ∗ Add to Reading List Source URL: www.math.columbia.edu Language: English - Date: 2012-06-19 13:30:57 Probability and statistics Probability theory Martingale theory Lipschitz maps Fourier analysis Probability space Ordinal number Conditional expectation Random variable Statistics Stochastic processes Mathematical analysis
130	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

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