Dr. R.M. (Rolando) Gonzales Martínez

Rolando Gonzales Martinez is a postdoctoral researcher at the Netherlands Interdisciplinary Demographic Institute (NIDI). He has a PhD from the Universitetet i Agder (Norway) and a MSc in Applied Statistics from the University of Alcala (Spain). His dissertation was framed on the anarchist theory of knowledge of Feyerabend and discussed the differences between theory-driven and data-driven science, with applications to nanofinance groups in Africa. Previously, he was a postdoc data scientist at CASUS (Helmholtz-Zentrum Dresden-Rossendorf, Germany), and a postdoctoral consultant for the University of Groningen, the Centre for Demographic Studies of the Universitat Autònoma de Barcelona, the Italian Agency for Development Cooperation, the United Nations Population Fund (UNFPA), and the Oxford Poverty and Human Development Initiative (OPHI, Oxford University). Rolando is currently working on the ‘Forecasting future socioeconomic inequalities in longevity’ project at NIDI.

Contact

Rolando Gonzales Martínez staff webpage

Expertise

Machine learning, advanced statistical analysis, Bayesian methods.

Publications

• Gonzales Martinez, Rolando and Daan-Max van Dongen (2023). Deep learning algorithms for the early detection of breast cancer: A comparative study with traditional machine learning. Informatics in Medicine Unlocked, Volume 41, 101317, ISSN 2352-9148.
• Gonzales Martinez, R., Janssen, F. (2023),The creation of a database on obesity and high BMI prevalence by educational level and sex for adjacent calendar years and uniform ages for England, Finland, and Italy. NIDI Working Paper no. 2023/1. The Hague: NIDI, 41 p.
• Gonzales Martinez, R. (2022),How good is good? Bayesian machine-learning estimation of probabilistic benchmarks in noisy datasets and an application to nanofinance+. Systems and Soft Computing 4: 200036.
• Gonzales Martinez, R., Wells, J., Anand, P., Pelto, G., Dhansay, M. A., Haisma, H. (2022),Community participation and multidimensional child growth: evidence from the Vietnam Young Lives study. Current Developments in Nutrition 6 (4): nzac022.
• Gonzales Martinez, R., D’Espallier, B., Mersland, R. (2021),Bifurcations in business profitability: An agent-based simulation of homophily in self-financing groups. Journal of Business Research 129: 495-514.
• Ravelli, E., Gonzales Martinez, R. (2021),Environmental risk factors of airborne viral transmission: Humidity, Influenza and SARS-CoV-2 in the Netherlands. Spatial and Spatio-temporal Epidemiology: 100432.
• Gonzales Martinez, R. (2020),Which social program supports sustainable grass-root finance? Machine-learning evidence. International Journal of Sustainable Development & World Ecology 27 (5): 389-395.
• Gonzales Martinez, R., Aguilera‐Lizarazu, G., Rojas‐Hosse, A., Aranda Blanco, P. (2020),The interaction effect of gender and ethnicity in loan approval: A Bayesian estimation with data from a laboratory field experiment. Review of Development Economics 24 (3): 726-749.
• Gonzales, R., Rojas-Hosse, A. (2019),Inflation shocks and income inequality: An analysis with genetic algorithms and Bayesian quantile regressions. African Journal of Economic and Management Studies 10 (2): 226-240.
• Gonzales Martínez, R. (2018),The wage curve, once more with feeling: Bayesian model averaging of Heckit models. Econometric Research in Finance 3 (2): 79-92.
• Gonzales Martínez, R. (2017),Balancing input-output tables with Bayesian slave-raiding ants. Statistical Journal of the IAOS 33 (4): 943-949.