Description
This work seamlessly integrates the disciplines of statistics and computer science, presenting Monte Carlo methods as a powerful framework for solving complex problems. The authors offer a comprehensive overview of these techniques, illustrating their applications across various fields. Readers are guided through fundamental concepts, advanced algorithms, and practical implementations, making it an invaluable resource for both students and professionals.
With an emphasis on real-world applications, the book encourages exploration and experimentation, highlighting the versatility of Monte Carlo methods. It not only serves as a technical guide but also inspires innovative thinking and problem-solving, catering to a diverse audience interested in harnessing computational power for statistical analysis.
With an emphasis on real-world applications, the book encourages exploration and experimentation, highlighting the versatility of Monte Carlo methods. It not only serves as a technical guide but also inspires innovative thinking and problem-solving, catering to a diverse audience interested in harnessing computational power for statistical analysis.
Détails du livre
Format
Relié
Pages
438 pages
Langue
Anglais
Publié
févr. 25, 2020
Éditeur
Springer
ISBN-10
9811329702
ISBN-13
9789811329708