Differential equations in data analysis

Research output: Contribution to journalReview articlepeer-review

Abstract

Differential equations have proven to be a powerful mathematical tool in science and engineering, leading to better understanding, prediction, and control of dynamic processes. In this paper, we review the role played by differential equations in data analysis. More specifically, we consider the intersection between differential equations and data analysis in the light of modern statistical learning methodologies. This article is categorized under: Data: Types and Structure > Time Series, Stochastic Processes, and Functional Data Statistical and Graphical Methods of Data Analysis > Nonparametric Methods Statistical Models > Nonlinear Models.

Original languageAmerican English
Article numbere1534
JournalWiley Interdisciplinary Reviews: Computational Statistics
Volume13
Issue number6
DOIs
StatePublished - 1 Nov 2021

Keywords

  • data science
  • differential equations
  • dynamical system
  • statistical inference
  • statistical learning
  • time series

All Science Journal Classification (ASJC) codes

  • Statistics and Probability

Fingerprint

Dive into the research topics of 'Differential equations in data analysis'. Together they form a unique fingerprint.

Cite this