Nonlinear Time Series: Semiparametric and Nonparametric Methods

ISBN-13: 9780367389352 / Angielski / Miękka / 2019 / 237 str.

Jiti Gao

Opis

Nonlinear Time Series: Semiparametric and Nonparametric Methods focuses on various semiparametric methods in model estimation, specification testing, and selection of time series data. After a brief introduction, the book examines semiparametric estimation and specification methods and then applies these approaches to a class of nonlinear continuous-time models with real-world data. It also assesses some newly proposed semiparametric estimation procedures for time series data with long-range dependence. Even though the book only deals with climatological and financial data, the estimation and specifications methods discussed can be applied to models with real-world data in many disciplines.

Spis treści

Introduction. Estimation in Nonlinear Time Series. Nonlinear Time Series Specification. Model Selection in Nonlinear Time Series. Continuous-Time Diffusion Models. Long-Range Dependent Time Series. Appendix. References. Indices.

O autorze

Gao, Jiti