Explores the approach to physical underlying relationships in life cycle inventory calculation, including multifunctionality treatment and boundary expansion.
Explores latent classes in mixture models for discrete choice modeling using the Swissmetro dataset, discussing class-specific models and random parameters estimation.
Explores autocorrelation, periodicity, and spurious correlations in time series data, emphasizing the importance of understanding underlying processes and cautioning against misinterpretation.