Results 171 to 180 of about 4,588 (212)
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Existence and Uniqueness of the Maximum Likelihood Estimator for a Multivariate Probit Model
Journal of the American Statistical Association, 1992Abstract The multivariate probit model (MPM) is a particular case of the class of correlated prediction models. A correlated prediction model is especially useful when prediction or classification is envisaged into diagnostic classes that are combinations of binary responses. The parameter vector consists of a “location” part and an “association” part.
Emmanuel Lesaffre, Heinz Kaufmann
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Analysis of multivariate probit models
Biometrika, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chib, Siddhartha, Greenberg, Edward
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On the Multivariate Probit Model for Exchangeable Binary Data with Covariates
Biometrical Journal, 2005This paper considers the use of a multivariate binomial probit model for the analysis of correlated exchangeable binary data. The model can naturally accommodate both cluster and individual level covariates, while keeping a fairly flexible intracluster association structure.
Catalina, Stefanescu, Bruce W, Turnbull
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Testing for Dependence in Multivariate Probit Models
Biometrika, 1982SUMMARY A multivariate probit model is considered and the Lagrange multiplier or score statistic for testing independence is derived. The limiting distribution of the statistic takes a simple form under the null hypothesis and for local alternatives. The statistic is a natural generalization of Pearson's chi-squared for a 2 x 2 table.
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Multivariate probit models for conditional claim-types
Insurance: Mathematics and Economics, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Young, Gary +2 more
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Bayesian Analysis of Multivariate Probit Models with Surrogate Outcome Data
Psychometrika, 2010A new class of parametric models that generalize the multivariate probit model and the errors-in-variables model is developed to model and analyze ordinal data. A general model structure is assumed to accommodate the information that is obtained via surrogate variables. A hybrid Gibbs sampler is developed to estimate the model parameters.
Poon, Wai-Yin, Wang, Hai-Bin
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Alternative Specifications of Multivariate Multilevel Probit Ordinal Response Models
Journal of Educational and Behavioral Statistics, 2003Multivariate multilevel models for ordinal variables are quite complex with respect to both interpretation and estimation. The specification in terms of a multivariate latent distribution and a set of thresholds helps in the interpretation of the variance-covariance parameters.
GRILLI, LEONARDO, RAMPICHINI, CARLA
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Multivariate probit linear mixed models for multivariate longitudinal binary data
Statistics in MedicineWhen analyzing multivariate longitudinal binary data, we estimate the effects on the responses of the covariates while accounting for three types of complex correlations present in the data. These include the correlations within separate responses over time, cross‐correlations between different responses at different times, and correlations between ...
Kuo‐Jung Lee +3 more
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