Publication:

Statistical inference for dynamical systems: A review

Loading...
Thumbnail Image

Date

2015-01-01

Published Version

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Mathematical Statistics
The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

McGoff, Kevin, Sayan Mukherjee, Natesh Pillai. "Statistical inference for dynamical systems: A review." Statist. Surv. 9 (2015). DOI: 10.1214/15-ss111

Abstract

The topic of statistical inference for dynamical systems has been studied extensively across several fields. In this survey we focus on the problem of parameter estimation for nonlinear dynamical systems. Our objective is to place results across distinct disciplines in a common setting and highlight opportunities for further research.

Description

Other Available Sources

Research Data

Keywords

Statistics, Probability and Uncertainty, Statistics and Probability

Terms of Use

This article is made available under the terms and conditions applicable to Open Access Policy Articles (OAP), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Related Stories