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Jorge Isaac Figueroa Zúñiga

Director

UNIVERSIDAD DE CONCEPCIÓN

Concepción, Chile

Líneas de Investigación


Distribuciones asimétricas acotadas; Modelamiento con distribuciones beta y modificaciones de ésta; Modelos lineales generalizados y econométricos

Educación

  •  Estadistica, PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE. Chile, 2011
  •  Estadistica, PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE. Chile, 2005
  •  Estadístico, PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE. Chile, 2004

Experiencia Académica

  •   Profesor Asociado Full Time

    UNIVERSIDAD DE CONCEPCION

    Cs Físicas y Matemáticas

    Concepción, Chile

    2010 - At present

  •   Académico Part Time

    PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE

    Matemáticas

    Santiago, Chile

    2007 - 2009

  •   Académico Part Time

    UNIVERSIDAD DIEGO PORTALES

    Ingeniería

    Santiago, Chile

    2007 - 2009


 

Article (18)

Surveillance of the recurrence time of the effectiveness of national and region-level quarantines of COVID-19 pandemic in Chile
Biased Random-Key Genetic Algorithm with Local Search Applied to the Maximum Diversity Problem
Inference Based on the Stochastic Expectation Maximization Algorithm in a Kumaraswamy Model with an Application to COVID-19 Cases in Chile
Quasi-Cauchy Regression Modeling for Fractiles Based on Data Supported in the Unit Interval
Robust Semi-Parametric Inference for Two-Stage Production Models: A Beta Regression Approach
A statistical analysis for the epidemiological surveillance of COVID-19 in Chile
A Study on Computational Algorithms in the Estimation of Parameters for a Class of Beta Regression Models
A Type I Generalized Logistic Distribution: Solving Its Estimation Problems with a Bayesian Approach and Numerical Applications Based on Simulated and Engineering Data
Matrix differential calculus with applications in the multivariate linear model and its diagnostics
Modeling Heavy-Tailed Bounded Data by the Trapezoidal Beta Distribution with Applications
Robust beta regression modeling with errors-in-variables: a Bayesian approach and numerical applications
Predicting PM2.5 and PM10 Levels during Critical Episodes Management in Santiago, Chile, with a Bivariate Birnbaum-Saunders Log-Linear Model
An errors-in-variables model based on the Birnbaum-Saunders distribution and its diagnostics with an application to earthquake data
First report of the reduction in treatment efficacy of the organophosphate azamethiphos against the sea lice Caligus rogercresseyi (Boxshall & Bravo, 2000)
A Bayesian approach to errors-in-variables beta regression
Geostatistical mixed beta regression=> a Bayesian approach
Partially linear beta regression model with autoregressive errors
Mixed beta regression: A Bayesian perspective

Proyecto (3)

Trapezoidal beta Distribution and its applications
Análisis Espacial del Riesgo de Muerte por Enfermedades Catastrófi?cas en la Región del BioBío.
EXPANSION OF THE MODIFIED BETA REGRESSION MODELS
15
Jorge Figueroa

Director

Estadística

UNIVERSIDAD DE CONCEPCIÓN

Concepción, Chile

1
Cristian Gallardo

Profesor Asociado

Departamento de Oceanografía

Universidad de Concepción

Concepcion, Chile

1
Reinaldo Arellano

Profesor Titular

Estadística

PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE

Santiago, Chile

1
Gabriel Arriagada

Profesor Asociado

Instituto de Ciencias Agroalimentarias, Animales y Ambientales (ICA3)

Universidad de O'Higgins

San Fernando, Chile