Statistical Inference for Ergodic Diffusion Processes concerns a branch of statistical inference that is often used in physics and mathematical finance. The author, a well-respected researcher in the area, has gathered a wealth of material and results from the past ten years, and combined it with some new and interesting results to produce a state-of-the-art monograph that will be extremely useful for postgraduate students and researchers in the area.

Klappentext

The first book in inference for stochastic processes from a statistical, rather than a probabilistic, perspective. It provides a systematic exposition of theoretical results from over ten years of mathematical literature and presents, for the first time in book form, many new techniques and approaches.

Inhalt
1 Diffusion Processes and Statistical Problems.- 2 Parameter Estimation.- 3 Special Models.- 4 Nonparametric Estimation.- 5 Hypotheses Testing.- Historical Remarks.- References.