Non-uniqueness in probabilistic numerical identification of bacteria
From MaRDI portal
Publication:4305657
DOI10.2307/3215044zbMath0817.92002OpenAlexW2043317951MaRDI QIDQ4305657
Mats Gyllenberg, Edwin Reilink, Timo Koski, Martin Verlaan
Publication date: 15 September 1994
Published in: Journal of Applied Probability (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/3215044
identifiabilityfinite mixtures of multivariate Bernoulli distributionsgrouping of bacterianumerical identification of bacteria
Characterization and structure theory for multivariate probability distributions; copulas (62H05) Taxonomy, cladistics, statistics in mathematical biology (92B10) Characterization and structure theory of statistical distributions (62E10)
Related Items
Unnamed Item, Sufficient and Necessary Conditions for the Identifiability of the $Q$-matrix, Identifying Latent Structures in Restricted Latent Class Models, Classification of binary vectors by stochastic complexity., Numerical taxonomy and the principle of maximum entropy, A sparse latent class model for cognitive diagnosis, Parameter identifiability in a class of random graph mixture models, Partial identifiability of restricted latent class models, Semi-parametric estimation for conditional independence multivariate finite mixture models, The aspect Bernoulli model: multiple causes of presences and absences, Estimation and selection for the latent block model on categorical data, Reliable clustering of Bernoulli mixture models, Identifiability of parameters in latent structure models with many observed variables, Identifiability of latent class models with covariates, Learning with many experts: Model selection and sparsity