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979 results in Applied probability and stochastic networks

Page 7 of 49

Introduction to Probability for Computing
  • Mor Harchol-Balter
  • Published online:
    12 September 2023
    Print publication:
    28 September 2023
  • Learn about probability as it is used in computer science with this rigorous, yet highly accessible, undergraduate textbook. Fundamental probability concepts are explained in depth, prerequisite mathematics is summarized, and a wide range of computer science applications is described. Throughout, the material is presented in a “question and answer” style designed to encourage student engagement and understanding. Replete with almost 400 exercises, real-world computer science examples, and covering a wide range of topics from simulation with computer science workloads, to statistical inference, to randomized algorithms, to Markov models and queues, this interactive text is an invaluable learning tool whether your course covers probability with statistics, with stochastic processes, with randomized algorithms, or with simulation. The teaching package includes solutions, lecture slides, and lecture notes for students.

  • 1 - What Are Bayesian Filtering and Smoothing?

  • Simo Särkkä, Aalto University, Finland, Lennart Svensson, Chalmers University of Technology, Gothenberg
  • Book:
    Bayesian Filtering and Smoothing
    Published online:
    01 June 2023
    Print publication:
    15 June 2023, pp 1-16
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Page 7 of 49