You might also like

More about Discrete Stochastic Processes

• Book details
• Synopsis
• Trending among others

You get 134 loyalty points

Book synopsis

This text presents selected applications of discrete-time stochastic processes that involve random interactions and algorithms, and revolve around the Markov property. It covers recurrence properties of (excited) random walks, convergence and mixing of Markov chains, distribution modeling using phase-type distributions, applications to search engines and probabilistic automata, and an introduction to the Ising model used in statistical physics. Applications to data science are also considered via hidden Markov models and Markov decision processes. A total of 32 exercises and 17 longer problems are provided with detailed solutions and cover various topics of interest, including statistical learning.

Book details

Book category Books in English Mathematics & science Mathematics Probability & statistics

• Full title: Discrete Stochastic Processes
• Subtitle: Tools for Machine Learning and Data Science
• Author: Nicolas Privault
• Language: English
• Binding: Paperback
• Number of pages: 260
• EAN: 9783031658198
• ID: 46193384
• Publisher: Springer, Berlin
• Weight: 468 g
• Dimensions: 235 × 155 mm
• Date of publishing: 03. October 2024

Trending among others

---

---

---