29 citations · 71 across the 16 of their papers we have counts for
4 papers · 1 filter
Unraveling time-varying causal effects of multiple exposures: integrating Functional Data Analysis with Multivariable Mendelian Randomization
Nicole Fontana, Francesca Ieva, Luisa Zuccolo +2
Mendelian Randomization is a widely used instrumental variable method for assessing causal effects of lifelong exposures on health outcomes. Many exposures, however, have causal ef…
Day-Ahead Electricity Price Forecasting Using Merit-Order Curves Time Series
Guillaume Koechlin, Filippo Bovera, Piercesare Secchi
We introduce a general, simple, and computationally efficient functional data analysis framework for forecasting day-ahead supply and demand merit-order curves, and the resulting e…
A Blind Source Separation Framework to Monitor Sectoral Power Demand from Grid-Scale Load Measurements
Guillaume Koechlin, Filippo Bovera, Elena Degli Innocenti +4
As demand-side flexibility becomes increasingly necessary to integrate variable renewable energy, understanding electricity demand composition across different grid levels is essen…
Three Distributional Approaches for PM10 Assessment in Northern Italy
Marco F. De Sanctis, Andrea Gilardi, Giacomo Milan +3
We propose three spatial methods for estimating the full probability distribution of PM10 concentrations, with the ultimate goal of assessing air quality in Northern Italy. Moving…