Functional Data Analysis

Geometry of RAndom FIelds and Applications

Geometry of RAndom FIelds and Applications

Special attention will be given to investigating the geometry of band-limited spherical random fields in the high-energy (high-frequency) limit; this covers both the case of random Laplace eigenfunctions and wavelet/needlet components of random fields, of great interest for cosmological data analysis.

Longitudinal analysis in the medical sciences: anapplication to the investigation of postnephrectomy course

We present the initial results of a retrospective study conducted on 245 patients who underwent unilateral Radical Nephrectomy (RN) as treatment of an urological pathology. The recorded postoperative creatinine levels are analysed for determining the principal patterns of variation in the two years following the intervention. The observational data, which are sparse and right censored, are linearly interpolated and then analysed via a robust form of Principal Component Analysis (PCA).

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