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Highlights of the Probability Theory Class - Assignment | MATH 407, Assignments of Probability and Statistics

Material Type: Assignment; Professor: Lototsky; Class: Probability Theory; Subject: Mathematics; University: University of Southern California; Term: Unknown 1989;

Typology: Assignments

Pre 2010

Uploaded on 11/08/2009

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Download Highlights of the Probability Theory Class - Assignment | MATH 407 and more Assignments Probability and Statistics in PDF only on Docsity! Highlights of our Probability Theory Class Problems. (1) Benfordā€™s Law (distribution of the first significant digit in a set of ā€œnaturally occurringā€ numbers) (2) Birth day (3) Buffonā€™s needle (4) Coupon collecting (5) Gamblerā€™s Ruin (6) Matching (7) Monty Hall (8) Runs in Bernoulli trials Methods. (1) Conditioning (2) Continuity correction (in the CLT) (3) Inclusion-exclusion principle (4) Probability tree (5) Table (6) Use of indicator functions (7) Venn diagram Tools. (1) Approximating hyper-geometric with binomial, binomial with Poisson or normal, and Poisson with normal (2) Bayes formula (3) Change of variables, especially in one and two dimensions. (4) Characteristics of a distribution (mean, variance, moment generating function, covari- ance, correlation coefficient, entropy, mutual information) (5) Convergence (almost sure, in probability, in distribution, in the mean) (6) Distributions ā€¢ discrete: binomial, Poisson, hyper-geometric, geometric, negative binomial, Zipf. ā€¢ continuous: uniform, exponential, normal (Gaussian) ā€” one-, two-, and multi- dimensional, Gamma, Beta, Cauchy, Weibull. (7) Inequalities (Cauchy-Schwarz, Chebyshev, Chernoff, HoĢˆlder, Improved Chebyshev, Jensen, Lyapunov, Markov) (8) Limit Theorems (Law of Large Numbers ā€” weak and strong, Central Limit Theorem, Law of iterated logarithm) (9) Markov chain and invariant distribution (10) Monte-Carlo simulations (11) Normal Correlation Theorem (12) Poisson process (13) Probabilistic methods (using probability to solve deterministic problems) (14) Producing a given continuous distribution from the uniform distribution on (0, 1) by inverse transformation (15) Stirling formula Other. (1) Bertrand Russelā€™ paradox (2) Beta function (3) Catalan numbers (4) Gamma function (5) Solution of a second-order finite-difference equation with constant coefficients 1
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