Work

Mixed Membership Models for Multilevel Functional Data

Year: 2026

Type: conference-paper

Source: Springer eBooks

DOI: 10.1007/978-3-032-30873-3_27

Authors: Donatello Telesca, Nicholas Marco, Emma Landry

Institutions: University of California, Los Angeles, Duke University

Language: English

Topic: Bayesian Methods and Mixture Models

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7154329614

FWCI:

Cites:

Cited by:

Related to: 10