Stochastic modeling. (2017)

• Record Type: Book
• Further Information: Note: Nicolas Lanchier.
• Authors: Lanchier, Nicolas
• Contents: 1. Basics of Measure and Probability Theory -- 2. Distribution and Conditional Expectation -- 3. Limit Theorems -- 4. Stochastic Processes: General Definition -- 5. Martingales -- 6. Branching Processes -- 7. Discrete-time Markov Chains -- 8. Symmetric Simple Random Walks -- 9. Poisson Point and Poisson Processes -- 10. Continuous-time Markov Chains -- 11. Logistic Growth Process -- 12. Wright-Fisher and Moran Models -- 13. Percolation Models -- 14. Interacting Particle Systems -- 15. The Contact Process -- 16. The Voter Model -- 17. Numerical Simulations in C and Matlab.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2017
• Extent: 1 online resource (xiii, 303 pages), illustrations (some color)
• Subjects: 003/.76; Mathematics; Stochastic models; Stochastic models; Mathematics; Probability Theory and Stochastic Processes; Mathematical Modeling and Industrial Mathematics; Mathematics -- Applied; Mathematical modelling; Distribution (Probability theory); Mathematics -- Probability & Statistics -- General; Probability & statistics; Electronic books
• Languages: English
• ISBNs: 9783319500386; 3319500384
• Related ISBNs: 9783319500379; 3319500376
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (SpringerLink, viewed February 10, 2017).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.