Search Results - "Achcar, Jorge"

Multivariate lifetime data in presence of censoring and covariates: Use of semiparametric models under a Bayesian approach by Alberto Achcar, Jorge, Barili, Emerson

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A new class of bivariate Lindley distributions based on stress and shock models and some of their reliability properties by Oliveira, Ricardo P., Achcar, Jorge A., Mazucheli, Josmar, Bertoli, Wesley

“…Shock and stress models are used in reliability analysis to describe different kinds of applications. For instance, shock may refer to damage caused to vital…”
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The Lindley distribution applied to competing risks lifetime data by Mazucheli, Josmar, Achcar, Jorge A

“…Abstract Competing risks data usually arises in studies in which the death or failure of an individual or an item may be classified into one of k ≥ 2 mutually…”
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Effects on Endothelin‐1 on Irisin Production By Myocytes Derived From C2C12 Cells by Valala, João V. Z., Achcar, Jorge A., Montrezor, Luís H.

“…Skeletal muscle is one of the most metabolically active tissues. Consequently, it is highly susceptible to hormonal variations, whether by endocrine,…”
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A new cure rate regression framework for bivariate data based on the Chen distribution by de Oliveira, Ricardo Puziol, de Oliveira Peres, Marcos Vinicius, Martinez, Edson Z, Alberto Achcar, Jorge

“…The present study introduces a new multivariate mixture cure rate model based on the Chen probability distribution to model recurrent event data in the…”
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Mixture and non-mixture cure fraction models based on the generalized modified Weibull distribution with an application to gastric cancer data by Martinez, Edson Z, Achcar, Jorge A, Jácome, Alexandre A.A, Santos, José S

“…Abstract The cure fraction models are usually used to model lifetime time data with long-term survivors. In the present article, we introduce a Bayesian…”
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Use of copula functions for the reliability of series systems by Achcar, Jorge Alberto, Moala, Fernando Antonio

“…Purpose – The purpose of this paper is to provide a new method to estimate the reliability of series system by using copula functions. This problem is of great…”
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Bayesian Multi-Targets Strategy to Track Apis mellifera Movements at Colony Level by Oliveira, Jr, Jordão N, Santos, Jônatas C, Viteri Jumbo, Luis O, Almeida, Carlos H S, Toledo, Pedro F S, Rezende, Sarah M, Haddi, Khalid, Santana, Weyder C, Bessani, Michel, Achcar, Jorge A, Oliveira, Eugenio E, Maciel, Carlos D

“…Interactive movements of bees facilitate the division and organization of collective tasks, notably when they need to face internal or external environmental…”
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A Bayesian analysis for pseudo-compositional data with spatial structure by Martinez, Edson Z, Achcar, Jorge A, Aragon, Davi C, Brunherotti, Marisa AA

“…We proposed a Bayesian analysis of pseudo-compositional data in presence of a latent factor, assuming a spatial structure. This development was motivated by a…”
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Use of Stochastic Volatility Models in Epidemiological Data: Application to a Dengue Time Series in São Paulo City, Brazil by Alberto Achcar, Jorge, Puziol de Oliveira, Ricardo, Barili, Emerson

“…Background: A study on the dengue daily counting in São Paulo city in a fixed period of time is assumed considering a new regression model approch. Methods:…”
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Bayesian analysis of the generalized gamma distribution using non-informative priors by Ramos, Pedro L., Achcar, Jorge A., Moala, Fernando A., Ramos, Eduardo, Louzada, Francisco

“…The Generalized gamma (GG) distribution plays an important role in statistical analysis. For this distribution, we derive non-informative priors using formal…”
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Bayesian bivariate generalized Lindley model for survival data with a cure fraction by Martinez, Edson Z, Achcar, Jorge A

“…Highlights • We introduce a cure fraction model based on the generalized Lindley distribution. • The joint distribution of the survival times was obtained by…”
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A Stochastic Bayesian Artificial Intelligence Framework to Assess Climatological Water Balance under Missing Variables for Evapotranspiration Estimates by Ribeiro, Vitor P., Desuó Neto, Luiz, Marques, Patricia A. A., Achcar, Jorge A., Junqueira, Adriano M., Chinatto, Adilson W., Junqueira, Cynthia C. M., Maciel, Carlos D., Balestieri, José Antônio P.

“…The sustainable use of water resources is of utmost importance given climatological changes and water scarcity, alongside the many socioeconomic factors that…”
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Mixture and nonmixture cure fraction models assuming discrete lifetimes: Application to a pelvic sarcoma dataset by de Oliveira, Ricardo Puziol, Menezes, André F. B., Mazucheli, Josmar, Achcar, Jorge A.

“…Different cure fraction models have been used in the analysis of lifetime data in presence of cured patients. This paper considers mixture and nonmixture…”
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A nonhomogeneous Poisson process geostatistical model by Morales, Fidel Ernesto Castro, Vicini, Lorena, Hotta, Luiz K., Achcar, Jorge A.

“…This paper introduces a new geostatistical model for counting data under a space-time approach using nonhomogeneous Poisson processes, where the random…”
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The inverse power Lindley distribution in the presence of left-censored data by Coelho-Barros, Emílio A., Mazucheli, Josmar, Achcar, Jorge A., Barco, Kelly Vanessa Parede, Tovar Cuevas, José Rafael

“…In this study, classical and Bayesian inference methods are introduced to analyze lifetime data sets in the presence of left censoring considering two…”
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Using non-homogeneous Poisson models with multiple change-points to estimate the number of ozone exceedances in Mexico City by Achcar, Jorge A., Rodrigues, Eliane R., Tzintzun, Guadalupe

“…In this paper, we consider some non‐homogeneous Poisson models to estimate the probability that an air quality standard is exceeded a given number of times in…”
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The exponentiated exponential mixture and non-mixture cure rate model in the presence of covariates by Mazucheli, Josmar, Coelho-Barros, Emílio A, Achcar, Jorge Alberto

“…Abstract This paper presents estimates for the parameters included in long-term mixture and non-mixture lifetime models, applied to analyze survival data when…”
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MCMC Bayesian Estimation in FIEGARCH Models by Prass, Taiane S., Lopes, Sílvia R. C., Achcar, Jorge A.

“…Bayesian inference for fractionally integrated exponential generalized autoregressive conditional heteroscedastic (FIEGARCH) models using Markov chain Monte…”
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Linear and Non-Linear Regression Models Assuming a Stable Distribution by Achcar, Jorge A., Lopes, Sílvia R. C.

“…In this paper, we present some computational aspects for a Bayesian analysis involving stable distributions. It is well known that, in general, there is no…”
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