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Global identifiability of latent class models with applications to diagnostic test accuracy studies: A Gröbner basis approach
Abstract Identifiability of statistical models is a fundamental regularity condition that is required for valid statistical inference. Investigation of model identifiability is mathematically challenging for complex models such as latent class models. Jones et al . used Goodman's technique to investigate the identifiability of latent class models with applications to …