288 citations · 772 across the 29 of their papers we have counts for
39 papers
Generalizing the normality: a novel towards different estimation methods for skewed information
Diego C Nascimento, Pedro Luiz Ramos, David Elal-Olivero +2
Normality is the most often mathematical supposition used in data modeling. Nonetheless, even based on the law of large numbers (LLN), normality is a strong presumption given that…
Noniterative Likelihood-Derived Estimation through Auxiliary Estimating Equations
Pedro L. Ramos, Eduardo Ramos, Francisco A. Rodrigues +1
Closed-form estimators are useful when parametric models are repeatedly refitted but likelihood maximization is iterative. We study a likelihood-derived construction of auxiliary e…
Objective Bayesian Analysis for the Differential Entropy of the Gamma Distribution
Eduardo Ramos, Osafu A. Egbon, Pedro L. Ramos +2
The present paper introduces a fully objective Bayesian analysis to obtain the posterior distribution of an entropy measure. Notably, we consider the gamma distribution, which desc…
Sampling with censored data: a practical guide
Pedro L. Ramos, Daniel C. F. Guzman, Alex L. Mota +3
In this review, we present a simple guide for researchers to obtain pseudo-random samples with censored data. We focus our attention on the most common types of censored data, such…
Spatial Statistical Models: an overview under the Bayesian Approach
Francisco Louzada, Diego C. Nascimento, Osafu Augustine Egbon
Spatial documentation is exponentially increasing given the availability of Big IoT Data, enabled by the devices miniaturization and data storage capacity. Bayesian spatial statist…
Power laws in the Roman Empire: a survival analysis
Pedro L. Ramos, Luciano da F. Costa, Francisco Louzada +1
The Roman Empire shaped Western civilization, and many Roman principles are embodied in modern institutions. Although its political institutions proved both resilient and adaptable…
Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves
Francisco Louzada, José A. Cuminato, Oscar M. H. Rodriguez +13
In this paper, our proposal consists of incorporating frailty into a statistical methodology for modeling time-to-event data, based on non-proportional hazards regression model. Sp…
Posterior properties of the Weibull distribution for censored data
Eduardo Ramos, Pedro L. Ramos
The Weibull distribution is one of the most used tools in reliability analysis. In this paper, assuming a Bayesian approach, we propose necessary and sufficient conditions to verif…
Power laws distributions in objective priors
Pedro L. Ramos, Francisco A. Rodrigues, Eduardo Ramos +2
The use of objective prior in Bayesian applications has become a common practice to analyze data without subjective information. Formal rules usually obtain these priors distributi…
Multiple repairable systems under dependent competing risks with nonparametric Frailty
Marco Pollo Almeida, Rafael Paixao, Pedro Ramos +3
The aim of this article is to analyze data from multiple repairable systems under the presence of dependent competing risks. In order to model this dependence structure, we adopted…
Random Machines Regression Approach: an ensemble support vector regression model with free kernel choice
Anderson Ara, Mateus Maia, Samuel Macêdo +1
Machine learning techniques always aim to reduce the generalized prediction error. In order to reduce it, ensemble methods present a good approach combining several models that res…
Random Machines: A bagged-weighted support vector model with free kernel choice
Anderson Ara, Mateus Maia, Samuel Macêdo +1
Improvement of statistical learning models in order to increase efficiency in solving classification or regression problems is still a goal pursued by the scientific community. In…
On the unification of zero-adjusted cure survival models
Francisco Louzada, Pedro Luiz Ramos, Hayala C. C. Souza +2
This paper proposes a unified version of survival models that accounts for both zero-adjustment and cure proportions in various latent competing causes, useful in data where surviv…
An Extended Poisson Family of Life Distribution: A Unified Approach in Competitive and Complementary Risks
Pedro L. Ramos, Dipak K. Dey, Francisco Louzada +1
In this paper, we introduce a new approach to generate flexible parametric families of distributions. These models arise on competitive and complementary risks scenario, in which t…
Objective Bayesian Inference for Repairable System Subject to Competing Risks
Marco Pollo, Vera Tomazella, Gustavo Gilardoni +3
Competing risks models for a repairable system subject to several failure modes are discussed. Under minimal repair, it is assumed that each failure mode has a power law intensity.…
The Frechet distribution: Estimation and Application an Overview
Pedro Luiz Ramos, Francisco Louzada, Eduardo Ramos +1
In this article, we consider the problem of estimating the parameters of the Fréchet distribution from both frequentist and Bayesian points of view. First we briefly describe diffe…
Reliability-centered maintenance: analyzing failure in harvest sugarcane machine using some generalizations of the Weibull distribution
Pedro Luiz Ramos, Diego Nascimento, Camila Cocolo +5
In this study we considered five generalizations of the standard Weibull distribution to describe the lifetime of two important components of harvest sugarcane machines. The harves…
The Inverse Weighted Lindley Distribution: Properties, Estimation and an Application on a Failure Time Data
Pedro L. Ramos, Francisco Louzada, Taciana K. O. Shimizu +1
In this paper a new distribution is proposed. This new model provides more flexibility to modeling data with upside-down bathtub hazard rate function. A significant account of math…
The Long Term Fréchet distribution: Estimation, Properties and its Application
Pedro Luiz Ramos, Diego Nascimento, Francisco Louzada
In this paper a new long-term survival distribution is proposed. The so called long term Fréchet distribution allows us to fit data where a part of the population is not susceptibl…
Cooperative Parallel Particle Filters for online model selection and applications to Urban Mobility
Luca Martino, Jesse Read, Victor Elvira +1
We design a sequential Monte Carlo scheme for the dual purpose of Bayesian inference and model selection. We consider the application context of urban mobility, where several modal…
Objective Bayesian Analysis for the Lomax Distribution
Paulo Ferreira, Jhon Gonzales, Vera Tomazella +3
In this paper we propose to make Bayesian inferences for the parameters of the Lomax distribution using non-informative priors, namely the Jeffreys prior and the reference prior. W…
Classification methods applied to credit scoring: A systematic review and overall comparison
Francisco Louzada, Anderson Ara, Guilherme B. Fernandes
The need for controlling and effectively managing credit risk has led financial institutions to excel in improving techniques designed for this purpose, resulting in the developmen…
Effective Sample Size for Importance Sampling based on discrepancy measures
L. Martino, V. Elvira, F. Louzada
The Effective Sample Size (ESS) is an important measure of efficiency of Monte Carlo methods such as Markov Chain Monte Carlo (MCMC) and Importance Sampling (IS) techniques. In the…
The zero-inflated promotion cure rate regression model applied to fraud propensity in bank loan applications
Francisco Louzada, Mauro R. de Oliveira, Fernando F. Moreira
In this paper we extend the promotion cure rate model proposed by Chen et al (1999), by incorporating excess of zeros in the modelling. Despite allowing to relate the covariates to…