Çinaroğlu, S. 2024. Poverty analysis to identify household heterogeneity via clustering and Bayesian modeling of income and health expenditure using the GB2: blending machine learning analytics with uncertainty quantification techniques. OR 2024 Data, Learning, and Optimization , (Munich, Germany), 1-25.

Çinaroğlu, S., (2024). Poverty analysis to identify household heterogeneity via clustering and Bayesian modeling of income and health expenditure using the GB2: blending machine learning analytics with uncertainty quantification techniques . OR 2024 Data, Learning, and Optimization (pp.1-25). Munich, Germany

Çinaroğlu, SONGÜL. "Poverty analysis to identify household heterogeneity via clustering and Bayesian modeling of income and health expenditure using the GB2: blending machine learning analytics with uncertainty quantification techniques," OR 2024 Data, Learning, and Optimization, Munich, Germany, 2024

Çinaroğlu, SONGÜL. "Poverty analysis to identify household heterogeneity via clustering and Bayesian modeling of income and health expenditure using the GB2: blending machine learning analytics with uncertainty quantification techniques." OR 2024 Data, Learning, and Optimization , Munich, Germany, pp.1-25, 2024

Çinaroğlu, S. (2024) . "Poverty analysis to identify household heterogeneity via clustering and Bayesian modeling of income and health expenditure using the GB2: blending machine learning analytics with uncertainty quantification techniques." OR 2024 Data, Learning, and Optimization , Munich, Germany, pp.1-25.

@conferencepaper{conferencepaper, author={SONGÜL ÇINAROĞLU}, title={Poverty analysis to identify household heterogeneity via clustering and Bayesian modeling of income and health expenditure using the GB2: blending machine learning analytics with uncertainty quantification techniques}, congress name={OR 2024 Data, Learning, and Optimization}, city={Munich}, country={Germany}, year={2024}, pages={1-25} }