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4.1
50 reviewsStochastic Processes with R: An Introduction cuts through the heavy theory that is present in most courses on random processes and serves as practical guide to simulated trajectories and real-life applications for stochastic processes. The light yet detailed text provides a solid foundation that is an ideal companion for undergraduate statistics students looking to familiarise themselves with stochastic processes before going onto more advanced courses.
Key Features:
• Provides complete R codes for all simulations and calculations
• Substantial scientific or popular applications of each process with occasional statistical analysis.
• Helpful definitions and examples are provided for each process.
• End of chapter exercises cover theoretical applications and practice calculations.
