mixsmsn : Fitting Finite Mixture of Scale Mixture of Skew-Normal Distributions von Prates, Marcos Oliveira, Cabral, Celso Rômulo Barbosa, Lachos, Víctor Hugo

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Finite Mixture of Skewed Distributions von Lachos Dávila, Víctor Hugo, Cabral, Celso Rômulo Barbosa, Zeller, Camila Borelli

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Bayesian Inference for Zero-Modified Power Series Regression Models von Conceição, Katiane S., Andrade, Marinho G., Lachos, Victor Hugo, Ravishanker, Nalini

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2021 International Statistical Institute Mahalanobis Award: A Tribute to Heleno Bolfarine von Ruggeri, Fabrizio, Bolfarine, Henrique, Bazán, Jorge Luis, Arellano‐Valle, Reinaldo B., Lachos Davila, Victor Hugo, Castro, Mário

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A Confidence Set Analysis for Observed Samples: A Fuzzy Set Approach von González, José, Castro, Luis, Lachos, Víctor, Patriota, Alexandre

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Multivariate mixture modeling using skew-normal independent distributions von Cabral, Celso Rômulo Barbosa, Lachos, Víctor Hugo, Prates, Marcos O.

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Finite mixture of regression models for censored data based on scale mixtures of normal distributions von Zeller, Camila Borelli, Cabral, Celso Rômulo Barbosa, Lachos, Víctor Hugo, Benites, Luis

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Multivariate measurement error models using finite mixtures of skew-Student t distributions von Cabral, Celso Rômulo Barbosa, Lachos, Víctor Hugo, Zeller, Camila Borelli

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A finite mixture mixed proportion regression model for classification problems in longitudinal voting data von da Paz, Rosineide, Bazán, Jorge Luis, Lachos, Victor Hugo, Dey, Dipak

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Bayesian analysis of skew-normal independent linear mixed models with heterogeneity in the random-effects population von Rômulo Barbosa Cabral, Celso, Hugo Lachos, Víctor, Regina Madruga, Maria

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Fast inference for robust nonlinear mixed-effects models von Gomes, José Clelto Barros, Aoki, Reiko, Lachos, Victor Hugo, Paula, Gilberto Alvarenga, Russo, Cibele Maria

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Likelihood-based inference for Tobit confirmatory factor analysis using the multivariate Student-t distribution von Castro, Luis Mauricio, Costa, Denise Reis, Prates, Marcos Oliveira, Lachos, Victor Hugo

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Scale Mixtures of Skew-Normal Distributions von Cabral, Celso Rômulo Barbosa, Zeller, Camila Borelli, Lachos Dávila, Víctor Hugo

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Maximum Likelihood Estimation in Normal Mixtures von Cabral, Celso Rômulo Barbosa, Zeller, Camila Borelli, Lachos Dávila, Víctor Hugo

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Multivariate Mixture Modeling Using SMSN Distributions von Cabral, Celso Rômulo Barbosa, Zeller, Camila Borelli, Lachos Dávila, Víctor Hugo

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Univariate Mixture Modeling Using SMSN Distributions von Cabral, Celso Rômulo Barbosa, Zeller, Camila Borelli, Lachos Dávila, Víctor Hugo

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Mixture Regression Modeling Based on SMSN Distributions von Cabral, Celso Rômulo Barbosa, Zeller, Camila Borelli, Lachos Dávila, Víctor Hugo

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Multivariate measurement error models using finite mixtures of skew-Student distributions von Cabral, Celso Rômulo Barbosa, Lachos, Víctor Hugo, Zeller, Camila Borelli

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Robust Bayesian model selection for heavy-tailed linear regression using finite mixtures von Gonçalves, Flávio B., Prates, Marcos O., Lachos, Victor Hugo

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Dataset for: Multivariate longitudinal data analysis with censored and intermittent missing responses von Tsung-I Lin, Davila, Victor Hugo Lachos, Wan-Lun Wang

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