Practical identifiability of finite mixtures of multivariate Bernoulli distributions

Neural Computation

Volumn 12, Issue 1, 2000, Pages 141-152

  Carreira Perpiñán, Miguel Á ^a   Renais, Steve ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; MULTIVARIATE ANALYSIS; PROBABILITY; STATISTICAL MODEL;

ALGORITHMS; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; PROBABILITY;

EID: 0033628578     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976600300015925     Document Type: Article

References (6)

1. Carreira-Perpiñán, M. Á., & Renais, S. (1998). Dimensionality reduction of electropalatographic data using latent variable models. Speech Communication, 26, 259-282.
2. Everitt, B. S., & Hand, D. J. (1981). Finite mixture distributions. London: Chapman & Hall.
3. Gyllenberg, M., Koski, T., Reilink, E., & Verlaan, M. (1994). Non-uniqueness in probabilistic numerical identification of bacteria. J. Appl. Prob., 31, 542-548.
4. Hardcastle, W. J., Jones, W., Knight, C., Trudgeon, A., & Calder, G. (1989). New developments in electropalatography: A state-of-the-art report. J. Clinical Linguistics and Phonetics, 3, 1-38.
5. Marchai, A., & Hardcastle, W. J. (1993). ACCOR: Instrumentation and database for the cross-language study of coarticulation. Language and Speech, 36, 137-153.
6. Wolfe, J. H. (1970). Pattern clustering by multivariate mixture analysis. Multivariate Behavioral Research, 5, 329-350.