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Books Like Numerical methods for stochastic processes
If you liked Numerical methods for stochastic processes by Nicolas Bouleau and Dominique Lépingle, start with Error Calculus for Finance and Physics (2003), Probabilites de l'ingenieur variables aleatoires et simulation (2002), and Mathematics of Errors (2022). These recommendations are drawn from the same author, shared genres, and reader overlap on BookOrb.
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Frequently asked questions
What should I read after Numerical methods for stochastic processes?
BookOrb recommends Error Calculus for Finance and Physics (2003), Probabilites de l'ingenieur variables aleatoires et simulation (2002), Mathematics of Errors (2022), Dirichlet Forms Methods for Poisson Point Measures and Lévy Processes (2019), and Introduction à la philosophie des sciences (2017).
Are there books like Numerical methods for stochastic processes?
Yes. The list on this page is ranked from the closest matches BookOrb has for Numerical methods for stochastic processes.
Who wrote Numerical methods for stochastic processes?
Numerical methods for stochastic processes is by Nicolas Bouleau and Dominique Lépingle.