Emphasizes the importance of managing trade-offs for product robustness in mechanical design, using Multi-objective Monotonicity Analysis for quantitative analysis and systematic redesign efforts.
Explores robust regression in genomic data analysis, focusing on downweighting large residuals for improved estimation accuracy and quality assessment metrics like NUSE and RLE.
Explores robust and resistant methods in linear models, emphasizing the importance of handling extreme observations and the implications of robustness in regression models.
Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.
Explores electrochemical sensitivity analysis through chrono-amperometry and cyclic voltammetry, including regression analysis and sensitivity calculation for hydrogen peroxide detection.
Explores the historical roots and application of the hedonic method in real estate economics, emphasizing the impact of property attributes on market prices.
