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Elementary Probability for Applications
This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov …
Probability
This lively introduction to measure-theoretic probability theory covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, …
Probability
This lively introduction to measure-theoretic probability theory covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, …
Random Graph Dynamics
The theory of random graphs began in the late 1950s in several papers by Erdos and Renyi. In the late twentieth century, the notion of six degrees of separation, meaning that any …
Elementary Probability for Applications
This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov …