Work

K-ARMA Models for Clustering Time Series Data

Year: 2023

Type: preprint

Source: SSRN Electronic Journal

DOI: 10.2139/ssrn.4473321

Authors: Derek O. Hoare, Martin T. Wells, David S. Matteson

Institution: Cornell University

Language: English

Topic: Bayesian Methods and Mixture Models

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, National Institutes of Health, National Institute of General Medical Sciences

Awards: Collaborative Research: Predictive Risk Investigation SysteM (PRISM) for Multi-layer Dynamic Interconnection Analysis, HDR TRIPODS: Collaborative Research: Foundations of Greater Data Science, Learning Dynamics of Biological Processes from Time Course Omics Datasets, New Frontiers in Time Series Analysis, Collaborative Research: Atomic Level Structural Dynamics in Catalysts

OpenAlex ID: W4379803724

Cites: 42

Cited by: 1

Related to: 10