Search Results - "Loschi, Rosângela H."

Incipient fault detection in induction machine stator-winding using a fuzzy-Bayesian change point detection approach by D’Angelo, Marcos F.S.V., Palhares, Reinaldo M., Takahashi, Ricardo H.C., Loschi, Rosângela H., Baccarini, Lane M.R., Caminhas, Walmir M.

“…In this paper the incipient fault detection problem in induction machine stator-winding is considered. The problem is solved using a new technique of change…”
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Dynamic linear degradation model: Dealing with heterogeneity in degradation paths by Veloso, Guilherme A., Loschi, Rosangela H.

“…General path models are usually considered to model degradation data. Their popularity is mainly due to the simplicity with which these models allow to…”
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Semi-parametric Bayesian models for heterogeneous degradation data: An application to laser data by Santos, Cristiano C., Loschi, Rosangela H.

“…•We developed semi-parametric degradation models assuming the Dirichlet mixture of normal and skew-normal distributions for the random effects.•The proposed…”
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Multipartition model for multiple change point identification by Pedroso, Ricardo C., Loschi, Rosangela H., Quintana, Fernando Andrés

“…The product partition model (PPM) is widely used for detecting multiple change points. Because changes in different parameters may occur at different times,…”
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Bayesian cure fraction models with measurement error in the scale mixture of normal distribution by Marinho, Anna R S, Loschi, Rosangela H

“…Cure fraction models have been widely used to model time-to-event data when part of the individuals survives long-term after disease and are considered cured…”
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Skew-Heavy-Tailed Degradation Models: An Application to Train Wheel Degradation by Oliveira, Rivert P. Braga, Loschi, Rosangela H., Freitas, Marta A.

“…We introduce flexible classes of linear degradation models that accommodate skewness and heavy tailed behaviors. That is achieved by assuming that the…”
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Flexible Bayesian modelling in dichotomous item response theory using mixtures of skewed item curves by Gonçalves, Flávio B., Venturelli S. L., Juliane, Loschi, Rosangela H.

“…Most item response theory (IRT) models for dichotomous responses are based on probit or logit link functions which assume a symmetric relationship between the…”
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Bayesian Analysis for Change Points in the Volatility of Latin American Emerging Markets by Loschi, Rosangela H., Moura, Cristiano R., Iglesias, Pilar L.

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EM-Type algorithms for heavy-tailed logistic mixed models by Santos, Cristiano C., Loschi, Rosangela H.

“…This paper aims at evaluating different aspects of Monte Carlo expectation - maximization algorithm to estimate heavy-tailed mixed logistic regression (MLR)…”
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Maximum likelihood estimation and parameter interpretation in elliptical mixed logistic regression by Santos, Cristiano C., Loschi, Rosangela H.

“…We introduce the class of elliptical mixed logistic model with focus on the normal/independent subclass. Parameter interpretation in mixed logistic model is…”
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Nonparametric Mixtures Based on Skew-normal Distributions: An Application to Density Estimation by Vieira, Caroline C., Loschi, Rosangela H., Duarte, Denise

“…This article addresses the density estimation problem using nonparametric Bayesian approach. It is considered hierarchical mixture models where the uncertainty…”
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Detecting changes in time series: A product partition model with across-cluster correlation by Ferreira, Jacqueline A., Loschi, Rosangela H., Costa, Marcelo A.

“…The identification of multiple clusters and/or change points is a problem encountered in many subject areas, ranging from machine learning, pattern…”
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Fully semiparametric Bayesian approach for modeling survival data with cure fraction by Demarqui, Fabio N., Dey, Dipak K., Loschi, Rosangela H., Colosimo, Enrico A.

“…In this paper, we consider a piecewise exponential model (PEM) with random time grid to develop a full semiparametric Bayesian cure rate model. An elegant…”
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Shannon entropy and Kullback-Leibler divergence in multivariate log fundamental skew-normal and related distributions by De Queiroz, Marina M., Silva, Roger W. C., Loschi, Rosangela H.

“…This article mainly focuses on studying the Shannon entropy and Kullback-Leibler divergence of the multivariate log-canonical fundamental skew-normal (LCFUSN)…”
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Change Point Detection in The Skew-Normal Model Parameters by Arellano-Valle, Reinaldo B., Castro, Luis M., Loschi, Rosangela H.

“…Bayesian inference under the skew-normal family of distributions is discussed using an arbitrary proper prior for the skewness parameter. In particular, we…”
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Shape mixtures of multivariate skew-normal distributions by Arellano-Valle, Reinaldo B., Genton, Marc G., Loschi, Rosangela H.

“…Classes of shape mixtures of independent and dependent multivariate skew-normal distributions are considered and some of their main properties are studied. If…”
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Bayesian mismeasurement t-models for censored responses by Rocha, Gustavo H.M.A., Loschi, Rosangela H., Arellano-Valle, Reinaldo B.

“…This paper aims at introducing a Bayesian robust error-in-variable regression model in which the dependent variable is censored. We extend previous works by…”
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Maximum likelihood methods in a robust censored errors-in-variables model by Rocha, Gustavo H. M. A., Arellano-Valle, Reinaldo B., Loschi, Rosangela H.

“…We develop a non-standard linear regression analysis by considering that the dependent variable is left censored and also that some of the explanatory…”
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Parameter Interpretation in Skewed Logistic Regression with Random Intercept by Santos, Cristiano C., Loschi, Rosangela H., Arellano-Valle, Reinaldo B.

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Multivariate log-skewed distributions with normal kernel and their applications by de Queiroz, Marina M., Loschi, Rosangela H., Silva, Roger W.C.

“…We introduce two classes of multivariate log-skewed distributions with normal kernel: the log canonical fundamental skew-normal (log-CFUSN) and the log unified…”
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