Stochastic 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.
This book teaches students how to apply nonparametric techniques to statistical data from hypotheses to regression modeling, time-to-event... Læs mere