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Statistical Methods in Medical Research, 2007
Anders, Skrondal, Sophia, Rabe-Hesketh
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Anders, Skrondal, Sophia, Rabe-Hesketh
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Latent Variable and Latent Structure Models
2014Contents: Preface. D.J. Bartholomew, Old and New Approaches to Latent Variable Modelling. I. Moustaki, C. O'Muircheartaigh, Locating "Don't Know," "No Answer" and Middle Alternatives on an Attitude Scale: A Latent Variable Approach. L.A. van der Ark, B.T. Hemker, K.
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1998
A powerful approach to probabilistic modelling involves supplementing a set of observed variables with additional latent, or hidden, variables. By defining a joint distribution over visible and latent variables, the corresponding distribution of the observed variables is then obtained by marginalization.
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A powerful approach to probabilistic modelling involves supplementing a set of observed variables with additional latent, or hidden, variables. By defining a joint distribution over visible and latent variables, the corresponding distribution of the observed variables is then obtained by marginalization.
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Relating latent class membership to external variables: An overview
British Journal of Mathematical and Statistical Psychology, 2021Zsuzsa Bakk, Jouni Kuha
exaly