Conveners
Advanced methods for experimental and technological research (SIS)
- Chair: Grazia Vicario (DISMA - Politecnico di Torino)
Description
Italian Statistical Society (SIS)
Randomization is a fundamental principle underlying the statistical planning of experiments. In this talk, we illustrate the impact when the experimenter either cannot or chooses not to randomize the application of the experimental factors to their appropriate experimental units for split-plot experiments (Berni et al., 2020). The specific context is an experiment to improve the production...
The sparse and smooth clustering (SaS-Funclust) method proposed in [1] is presented. The aim is to cluster functional data while jointly detecting the most informative portion(s) of the functional data domain. The SaS-Funclust method relies on a general functional Gaussian mixture model with parameters estimated by maximizing the sum of a log-likelihood function penalized by a functional...