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Applied Probability

Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational techniques, and examples from the biological sciences. Chapter 1 reviews elementary probability and provides a brief survey of relevant results from measure theory. C...

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Hlavní autor: Lange, Kenneth (Autor)
Korporativní autor: SpringerLink (Online service)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: New York, NY : Springer US : Imprint: Springer, 2024.
Vydání:3rd ed. 2024.
Edice:Springer Texts in Statistics,
Témata:
Statistics .
Probabilities.
Computer science > Mathematics.
Mathematical statistics.
Mathematics > Data processing.
Statistical Theory and Methods.
Probability Theory.
Probability and Statistics in Computer Science.
Computational Mathematics and Numerical Analysis.
On-line přístup:https://doi.org/10.1007/978-1-0716-4172-9
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Obsah:
  • Basic Notions of Probability Theory
  • Calculation of Expectations
  • Convexity, Optimization, and Inequalities
  • Combinatorics
  • Combinatorial Optimization
  • Poisson Processes
  • Discrete-Time Markov Chains
  • Continuous-Time Markov Chains
  • Branching Processes
  • Martingales
  • Diffusion Processes
  • Asymptotic Methods
  • Numerical Methods
  • Poisson Approximation
  • Number Theory
  • Entropy
  • Appendix: Mathematical Review.

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