(Universitext) Achim Klenke-Probability Theory_ A Comprehensive Course-Springer .pdf
(5.15 MB, 需要: 10 个论坛币)
Achim Klenke
Universitext
Springer London
2014
This second edition of the popular textbook contains a comprehensive course in modern probability theory. Overall, probabilistic concepts play an increasingly important role in mathematics, physics, biology, financial engineering and computer science. They help us in understanding magnetism, amorphous media, genetic diversity and the perils of random developments at financial markets, and they guide us in constructing more efficient algorithms. | |||
Table of contents : Content: Front Matter....Pages I-XII Basic Measure Theory....Pages 1-45 Independence....Pages 47-75 Generating Functions....Pages 77-84 The Integral....Pages 85-99 Moments and Laws of Large Numbers....Pages 101-130 Convergence Theorems....Pages 131-143 Conditional Expectations....Pages 145-168 Martingales....Pages 169-188 Optional Sampling Theorems....Pages 189-203 Martingale Convergence Theorems and Their Applications....Pages 205-215 Backwards Martingales and Exchangeability....Pages 217-230 Convergence of Measures....Pages 231-243 Probability Measures on Product Spaces....Pages 245-271 Characteristic Functions and the Central Limit Theorem....Pages 273-293 Infinitely Divisible Distributions....Pages 295-330 Markov Chains....Pages 331-349 Convergence of Markov Chains....Pages 351-388 Markov Chains and Electrical Networks....Pages 389-410 Ergodic Theory....Pages 411-438 Brownian Motion....Pages 439-456 Law of the Iterated Logarithm....Pages 457-508 Large Deviations....Pages 509-519 The Poisson Point Process....Pages 521-541 The Itô Integral....Pages 543-561 Stochastic Differential Equations....Pages 563-588 Back Matter....Pages 589-611 ....Pages 613-638 |


雷达卡





京公网安备 11010802022788号







