Work

Modeling uncertainty with the truncated zeta distribution in mixture models for ordinal responses

Year: 2024

Type: article

Source: Communication in Statistics- Theory and Methods

DOI: 10.1080/03610926.2024.2409373

Authors: Dayang Dai, Dabuxilatu Wang

Institutions: Guangzhou University, Anqing Normal University

Language: English

Topic: Bayesian Methods and Mixture Models

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G7845443708

OpenAlex ID: W4404042746

FWCI:

Cites: 30

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Related to: 10