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BestsellerE-book
Author Venkatesh, Santosh S., 1959-

Title The theory of probability / Santosh S. Venkatesh.

Publication Info. Cambridge : Cambridge University Press, 2013.

Item Status

Description 1 online resource (xxiv, 805 pages) : illustrations
data file
Physical Medium polychrome
Bibliography Includes bibliographical references and index.
Contents Probability spaces -- Conditional probability -- A first look at independence -- Probability sieves -- Numbers play a game of chance -- The normal law -- Probabilities on the real line -- The Bernoulli schema -- The essence of randomness -- The coda of the normal -- Distribution functions and measure -- Random variables -- Great expectations -- Variations on a theme of integration -- Laplace transforms -- The law of large numbers -- From inequalities to concentration -- Poisson approximation -- Convergence in law, selection theorems -- Normal approximation -- Appendix: Sequences, functions, spaces.
Machine generated contents note: A. Elements -- I. Probability Spaces -- 1. From early beginnings to a model theory -- 2. Chance experiments -- 3. sample space -- 4. Sets and operations on sets -- 5. algebra of events -- 6. probability measure -- 7. Probabilities in simple cases -- 8. Generated a-algebras, Borel sets -- 9. little point set topology -- 10. Problems -- II. Conditional Probability -- 1. Chance domains with side information -- 2. Gender biasSimpson's paradox -- 3. theorem of total probability -- 4. Le probleme des rencontres, matchings -- 5. Polya's urn scheme, spread of contagion -- 6. Ehrenfest model of diffusion -- 7. Bayes's rule for events, the MAP principle -- 8. Laplace's law of succession -- 9. Back to the future, the Copernican principle -- 10. Ambiguous communication -- 11. Problems -- III. First Look at Independence -- 1. rule of products -- 2. What price intuition-- 3. application in genetics, Hardy's law -- 4. Independent trials -- 5. Independent families, Dynkin's π-λ theorem -- 6. Problems -- IV. Probability Sieves -- 1. Inclusion and exclusion -- 2. sieve of Eratosthenes -- 3. On trees and a formula of Cayley -- 4. Boole's inequality, the Borel-Cantelli lemmas -- 5. Applications in Ramsey theory -- 6. Bontferroni's inequalities, Poisson approximation -- 7. Applications in random graphs, isolation -- 8. Connectivity, from feudal states to empire -- 9. Sieves, the Lovasz local lemma -- 10. Return to Ramsey theory -- 11. Latin transversals and a conjecture of Euler -- 12. Problems -- V. Numbers Play a Game of Chance -- 1. formula of Viete -- 2. Binary digits, Rademacher functions -- 3. independence of the binary digits -- 4. link to coin tossing -- 5. binomial makes an appearance -- 6. inequality of Chebyshev -- 7. Borel discovers numbers are normal -- 8. Problems -- VI. Normal Law -- 1. One curve to rule them all -- 2. little Fourier theory I -- 3. little Fourier theory II -- 4. idea of Markov -- 5. Levy suggests a thin sandwich, de Moivre redux -- 6. local limit theorem -- 7. Large deviations -- 8. limits of wireless cohabitation -- 9. When memory fails -- 10. Problems -- VII. Probabilities on the Real Line -- 1. Arithmetic distributions -- 2. Lattice distributions -- 3. Towards the continuum -- 4. Densities in one dimension -- 5. Densities in two and more dimensions -- 6. Randomisation, regression -- 7. How well can we estimate-- 8. Galton on the heredity of height -- 9. Rotation, shear, and polar transformations -- 10. Sums and products -- 11. Problems -- VIII. Bernoulli Schema -- 1. Bernoulli trials -- 2. binomial distribution -- 3. On the efficacy of polls -- 4. simple random walk -- 5. arc sine laws, will a random walk return-- 6. Law of small numbers, the Poisson distribution -- 7. Waiting time distributions -- 8. Run lengths, quality of dyadic approximation -- 9. curious case of the tennis rankings -- 10. Population size, the hypergeometric distribution -- 11. Problems -- IX. Essence of Randomness -- 1. uniform density, a convolution formula -- 2. Spacings, a covering problem -- 3. Lord Rayleigh's random flights -- 4. M. Poincare joue a la roulette -- 5. Memoryless variables, the exponential density -- 6. Poisson ensembles -- 7. Waiting times, the Poisson process -- 8. Densities arising in queuing theory -- 9. Densities arising in fluctuation theory -- 10. Heavy-tailed densities, self-similarity -- 11. Problems -- X. Coda of the Normal -- 1. normal density -- 2. Squared normals, the chi-squared density -- 3. little linear algebra -- 4. multivariate normal -- 5. application in statistical estimation -- 6. Echoes from Venus -- 7. strange case of independence via mixing -- 8. continuous, nowhere differentiable function -- 9. Brownian motion, from phenomena to models -- 10. Haar system, a curious identity -- 11. bare hands construction -- 12. paths of Brownian motion are very kinky -- 13. Problems -- B. Foundations -- XI. Distribution Functions and Measure -- 1. Distribution functions -- 2. Measure and its completion -- 3. Lebesgue measure, countable sets -- 4. measure on a ring -- 5. Prom measure to outer measure, and back -- 6. Problems -- XII. Random Variables -- 1. Measurable maps -- 2. induced measure -- 3. Discrete distributions -- 4. Continuous distributions -- 5. Modes of convergence -- 6. Baire functions, coordinate transformations -- 7. Two and more dimensions -- 8. Independence, product measures -- 9. Do independent variables exist-- 10. Remote events are either certain or impossible -- 11. Problems -- XIII. Great Expectations -- 1. Measures of central tendency -- 2. Simple expectations -- 3. Expectations unveiled -- 4. Approximation, monotone convergence -- 5. Arabesques of additivity -- 6. Applications of additivity -- 7. expected complexity of Quicksort -- 8. Expectation in the limit, dominated convergence -- 9. Problems -- XIV. Variations on a Theme of Integration -- 1. UTILE ERIT SCRIBIT [∫] PRO OMNIA -- 2. Change of variable, moments, correlation -- 3. Inequalities via convexity -- 4. Lp-spaces -- 5. Iterated integrals, a cautionary example -- 6. volume of an n-dimensional ball -- 7. asymptotics of the gamma function -- 8. question from antiquity -- 9. How fast can we communicate-- 10. Convolution, symmetrisation -- 11. Labeyrie ponders the diameter of stars -- 12. Problems -- XV. Laplace Transforms -- 1. transform of a distribution -- 2. Extensions -- 3. renewal equation and process -- 4. Gaps in the Poisson process -- 5. Collective risk and the probability of ruin -- 6. queuing process -- 7. Ladder indices and a combinatorial digression -- 8. amazing properties of fluctuations -- 9. Polya walks the walk -- 10. Problems -- XVI. Law of Large Numbers -- 1. Chebyshev's inequality, reprise -- 2. Khinchin's law of large numbers -- 3. physicist draws inspiration from Monte Carlo -- 4. Triangles and cliques in random graphs -- 5. gem of Weierstrass -- 6. Some number-theoretic sums -- 7. dance of the primes -- 8. Fair games, the St.
Summary From classical foundations to modern theory, this comprehensive guide to probability interweaves mathematical proofs, historical context and detailed illustrative applications.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Probabilities.
Probabilities.
Probabilities -- History.
History.
Genre/Form Electronic books.
History.
Electronic book.
Electronic books.
Other Form: Print version: Venkatesh, Santosh S. Theory of probability. Cambridge : Cambridge University Press, 2013 9781107024472 (DLC) 2012538878 (OCoLC)805015647
ISBN 9781139840316 (electronic book)
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9781299409248 (MyiLibrary)
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9781139845052