• Ingeniero en Estadística, Universidad de Valparaíso
• Magíster en Estadística, Universidad de Valparaíso
• Doctorado en Ciencias (mención Estadística) , Universidad de Sao Paulo, Brasil
• PostDoctorado, Universidad de Sao Paulo, Brasil

Asignaturas

• Probabilidades
• Inferencia
• Modelos Lineales
• Métodos Multivariados
• Series de Tiempo
• Modelos Lineales Generalizados
• Modelos Semiparamétricos
• Modelos Lineales Generalizados Semiparamétricos

Google Scholar

• https://orcid.org/0000-0002-4021-7699

• Modelado Semiparamétrico
• Teoría de Distribuciones Elípticas
• Análisis de Diagnóstico

• Chocotea, O., Nicolis, O. and Ibacache-Pulgar, G. (2024). Maximum Penalized Likelihood Estimation of the Skew-t Link Model for Binomial Response Data. Axioms, https://doi.org/10.3390/
• Ibacache-Pulgar, G., Lira, V. and Villegas, C. (2024). Assessing influence in the Varying-Coefficient Generalized Linear Model. REVSTAT-Statistical Journal, https://doi.org/10.57805/
• Cárcamo, E., Marchant, C., Ibacache-Pulgar, G. and Leiva, V. (2024). Birnbaum-Saunders Semi-parametric Additive Modelling: Estimation, Smoothing, Diagnostics, and application. REVSTAT-Statistical Journal, 22, 211-237. https://doi.org/10.57805/
• Ibacache-Pulgar, G., Pacheco, P., Nicolis, O. and Uribe-Opazo, M. (2024). Local Influence for the Thin-Plate Spline Generalized Linear Model. Axioms 2024, 13, 346. https://doi.org/10.3390/
• Sánchez, D., Ibacache-Pulgar, G. and Marchant, C. (2023). Modelling Environmental Pollution using Varying-Coefficient Quantile Regression Models under Log-Symmetric Distributions. Axioms, https://doi.org/10.3390/
• Saavedra-Nievas, J., Nicolis, O., Galea, M. and Ibacache-Pulgar, G. (2023). Influence Diagnostics in Gaussian Spatio-Temporal Linear Models with Separable Covariance. Environmental and Ecological Statistics, https://doi.org/10.1007/
• Jeldes, N.,Ibacache-Pulgar, G., Marchant, C. and López-Gonzales., J. (2022). Modelling Air Pollution using Partially Varying-Coefficient Models with Heavy Tails. Mathematics, https://doi.org/10.3390/
• Nicolis, O., Riquelme, L., and Ibacache-Pulgar, G. (2022). Temporal Cox Process with Folded Normal Density. Axioms, https://doi.org/10.3390/
• Cavieres J., Ibacache-Pulgar, G., and Contreras-Reyes (2022). Smoothing Thin-Plate Spline under Skew Normal setting using Laplace Approximation and Influence Diagnostics Analysis. Journal of Statistical Computation and Simulation, https:/doi.org/10.1080/.
• Ibacache-Pulgar, G., Villegas, C., López-Gonzales, J. L. and Moraga, M. (2022). Influence Measures in Symmetric Nonparametric Regression Model. Statistical Methods and Applications, https:/doi.org/10.1007/s10260-.
• Moraga, M., Ibacache-Pulgar, G. and Nicolis, O. (2021). On Elliptical Thin-Plate Spline Partially Varying-Coefficient Model. Chilean Journal of Statistics, 12, 205-227.
• Ibacache-Pulgar, G., Figueroa-Zuñiga, J. and Marchant, C. (2021). Semiparametric Additive Beta Regression Models: Inference and Local Influence Diagnostic. REVSTAT-Statistical Journal, 19, 255-274.
• Figueroa-Zuñiga, J., Sanhueza, R., Ibacache-Pulgar, G. and Lagos-Alvarez, B. (2020). Trapezoidal Kumaraswamy Distribution. Chilean Journal of Statistics, 11, 163-176.
• López-Gonzales, J., Calili, R., Leite Coelho da Silva, F., Carbo-Bustinza, N., Ibacache-Pulgar, G. and Castro Souza, R. (2020). Simulation of the Energy Efficiency Auction Prices via Markov Chain Monte Carlo Method. Energies, 13, 1-19.
• Ibacache-Pulgar, G. and Reyes, S. (2018). Local Influence for Elliptical Partially Varying-Coefficient Models. Statistical Modelling, 18, 149-174.
• Ibacache-Pulgar, G., Galea, M. and Paula, G. A. (2014). Local Influence in Elliptical Multivariate Regression Model whit Equicorrelated Random Errors. Statistical Methodology, 16, 14-31.
• Ibacache-Pulgar, G., Paula, G. A. and Cysneiros, F. J. (2013). Semiparametric Additive Models under Symmetrical Distributions. TEST, 16, 103-121.
• Ibacache-Pulgar, G., Paula, G. A. and Galea, M. (2012). Influence Diagnostics for Elliptical Semiparametric Mixed Models. Statistical Modelling, 12, 165-193.
• Ibacache-Pulgar, G. and Paula, G.A . (2011). Local Influence for Student-t Partially Linear Models. Computational Statistics and Data Analysis, 55, 1462-1478.

• Proyecto FONDECYT N° 11130704 (2014-2017): Partially Varying-Coefficients Mixed Models under Non-Normal Distributions: Estimation, Inference and Influence Diagnostic. Investigador Principal.
• Proyecto DID Regular 2017 N° S-2017 (2017-2018), Universidad Austral de Chile: Thin-Plate Spline Varying Coefficients Mixed Model under Elliptical Distributions: Estimation, Inference and Influence Diagnostic. Co-Investigador.
• Projeto PROSUL CNPQ (2011-2013): Desenvolvimento de Métodos de Diagnóstico e Teoria Assintótica em Modelos de Regressão. Coordenador: Audrey Cysneiros (UFPE). Colaborador. Edital MCT/CNPq/ Nº 011/2008, Prosul, Brasil.
• Projeto PROSUL CNPQ (2008-2010): Desenvolvimento de Métodos de Diagnóstico e Teoria Assintótica em Modelos de Regressão. Coordenador: Francisco Cysneiros (UFPE). Colaborador. Edital MCT/CNPq/ Nº 011/2008, Prosul, Brasil.