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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 - A la fecha

  •   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 (15)

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
1
Cristian Gallardo

Profesor Titular

Departamento de Oceanografía

Universidad de Concepción

Concepcion, Chile

1
Reinaldo Arellano

Profesor Titular

Estadística

PONTIFICIA UNIVERSIDAD CATOLICA DE CHILE

Santiago, Chile

4
bernardo lagos

Prof. Asociado

Estdística

Universidad de Concepción

Concepción, Chile

15
Jorge Figueroa

Director

Estadística

UNIVERSIDAD DE CONCEPCIÓN

Concepción, Chile

1
Gabriel Arriagada

Profesor Asociado

Instituto de Ciencias Agroalimentarias, Animales y Ambientales (ICA3)

Universidad de O'Higgins

San Fernando, Chile

2
Jean Navarrete

Colaborador Academico

Estadística

Universidad de Concepción

Concepción, Chile