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Roberto Vila
26 publications
Narayanaswamy Balakrishnan
25 publications
N. Balakrishnan
15 publications
Marcelo Bourguignon
13 publications
Manoel Santos-Neto
11 publications
Suvra Pal
9 publications
Vera Tomazella
5 publications
Jeremias Leão
5 publications
Diego I. Gallardo
5 publications
Alan Dasilva
4 publications
Victor Leiva
3 publications

∙ 08/29/2023

Parametric quantile autoregressive conditional duration models with application to intraday value-at-risk

The modeling of high-frequency data that qualify financial asset transac...

0 Helton Saulo, et al. ∙

∙ 06/23/2023

Bivariate autoregressive conditional models: A new method for jointly modeling duration and number of transactions of irregularly spaced financial data

In this paper, a new approach to bivariate modeling of autoregressive co...

0 Helton Saulo, et al. ∙

∙ 01/18/2023

An upper bound and a characterization for Gini's mean difference based on correlated random variables

In this paper, we obtain an upper bound for the Gini mean difference bas...

0 Roberto Vila, et al. ∙

∙ 01/13/2023

Bivariate distributions on the unit square: Theoretical properties and applications

We introduce the bivariate unit-log-symmetric model based on the bivaria...

0 Roberto Vila, et al. ∙

∙ 11/26/2022

Unit-log-symmetric models: Characterization, statistical properties and its use in analyzing internet access data

We present here a unit-log-symmetric model based on the bivariate log-sy...

0 Roberto Vila, et al. ∙

∙ 11/25/2022

Bivariate log-symmetric models: distributional properties, parameter estimation and an application to fatigue data analysis

The bivariate Gaussian distribution has been a key model for many develo...

0 Roberto Vila, et al. ∙

∙ 07/13/2022

Parametric quantile regression for income data

Univariate normal regression models are statistical tools widely applied...

0 Helton Saulo, et al. ∙

∙ 06/21/2022

Symmetric generalized Heckman models

The sample selection bias problem arises when a variable of interest is ...

0 Helton Saulo, et al. ∙

∙ 05/31/2022

Parametric quantile autoregressive moving average models with exogenous terms applied to Walmart sales data

Parametric autoregressive moving average models with exogenous terms (AR...

0 Alan Dasilva, et al. ∙

∙ 03/05/2022

Theoretical results and modeling under the discrete Birnbaum-Saunders distribution

In this paper, we discuss some theoretical results and properties of a d...

0 Filidor Vilca, et al. ∙

∙ 10/09/2021

A parametric quantile beta regression for modeling case fatality rates of COVID-19

Motivated by the case fatality rate (CFR) of COVID-19, in this paper, we...

0 Marcelo Bourguignon, et al. ∙

∙ 09/08/2021

On a quantile autoregressive conditional duration model applied to high-frequency financial data

Autoregressive conditional duration (ACD) models are primarily used to d...

0 Helton Saulo, et al. ∙

∙ 07/21/2021

Scale-mixture Birnbaum-Saunders quantile regression models applied to personal accident insurance data

The modeling of personal accident insurance data has been a topic of ext...

0 Alan Dasilva, et al. ∙

∙ 05/31/2021

On some properties of the bimodal normal distribution and its bivariate version

In this work, we derive some novel properties of the bimodal normal dist...

0 Roberto Vila, et al. ∙

∙ 05/09/2021

The zero-adjusted log-symmetric quantile regression model applied to extramarital affairs data

In this work, we propose a zero-adjusted log-symmetric quantile regressi...

0 Danúbia R. Cunha, et al. ∙

∙ 03/07/2021

On a log-symmetric quantile tobit model applied to female labor supply data

The classic censored regression model (tobit model) has been widely used...

0 Danúbia R. Cunha, et al. ∙

∙ 12/19/2020

On a length-biased Birnbaum-Saunders regression model applied to meteorological data

The length-biased Birnbaum-Saunders distribution is both useful and prac...

0 Kessys L. P. Oliveira, et al. ∙

∙ 10/19/2020

Log-symmetric quantile regression models

Regression models based on the log-symmetric family of distributions are...

0 Helton Saulo, et al. ∙

∙ 05/19/2020

On a family of discrete log-symmetric distributions

The use of continuous probability distributions has been widespread in p...

0 Helton Saulo, et al. ∙

∙ 12/19/2018

The negative binomial beta prime regression model with cure rate

This paper introduces a cure rate survival model by assuming that the ti...

0 Jeremias Leão, et al. ∙

∙ 10/18/2018

Log-symmetric regression models for correlated errors with an application to mortality data

Log-symmetric regression models are particularly useful when the respons...

0 Helton Saulo, et al. ∙

∙ 07/29/2018

A new mixture-based fixed-effect model for a biometrical case-study related to immunogenecity with highly censored data

We propose a new continuous-discrete mixture regression model which is u...

0 Mário F. Desousa, et al. ∙

∙ 04/28/2018

On a bivariate Birnbaum-Saunders distribution parameterized by its means: features, reliability analysis and application

Birnbaum-Saunders models have been widely used to model positively skewe...

0 Helton Saulo, et al. ∙

∙ 03/18/2018

A class of asymmetric regression models for left-censored data

A common assumption regarding the standard tobit model is the normality ...

0 Helton Saulo, et al. ∙

∙ 01/16/2018

On a bimodal Birnbaum-Saunders distribution with applications to lifetime data

The Birnbaum-Saunders distribution is a flexible and useful model which ...

0 Roberto Vila, et al. ∙

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