Work

Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data

Year: 2002

Type: article

Source: Machine Learning

DOI: 10.1023/a:1013679611503

Authors: Igor V. Cadez, Padhraic Smyth, Geoff J. McLachlan, Christine E. McLaren

Institutions: University of California, Irvine, The University of Queensland

Language: English

Topic: Bayesian Methods and Mixture Models

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, National Institutes of Health, Australian Research Council

Awards: RISC PROCESSOR FOR RED CELL VOLUME DISTRIBUTION ANALYSIS, CAREER: Probabilistic Knowledge Discovery and Data Mining: An Integrated Approach at the Interface of ComputerScience and Statistics, SEQUENTIAL ANALYSIS OF HEMATOLOGIC MEASUREMENTS

OpenAlex ID: W2156655440

FWCI: 2.078

Cites: 33

Cited by: 54

Related to: 10