TY  - BOOK
AU  - Lanchier,Nicolas
TI  - Stochastic modeling
T2  - Universitext
SN  - 9783319500379
U1  - 519.23 23
PY  - 2017///
CY  - Cham : 
PB  - Springer
KW  - Stochastic models
N1  - Includes bibliographical references and index; 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
N2  - Additional emphasis is placed on minimal models that have been used historically to develop new mathematical techniques in the field of stochastic processes: the logistic growth process, the Wright -Fisher model, Kingman's coalescent, percolation models, the contact process, and the voter model.
ER  -