Ph.D. in Matematica Pura E Applicata , 36th cycle (2020-2023)
Ph.D. obtained in 2024
Dissertation:
Statistical models for understanding biomedical data (Abstract)
Tutors:
Gianluca Mastrantonio Enrico BibbonaTeaching
Teachings
Master of Science
- Statistical methods in data science. A.A. 2021/22, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Statistical methods in data science. A.A. 2022/23, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- De Ambroggio, Umberto; Yip, HIU CHING (2024)
Degree evolution in a general growing network. In: STATISTICS & PROBABILITY LETTERS, vol. 211, pp. 1-6. ISSN 0167-7152
Contributo su Rivista - Yip, HIU CHING (2024)
Statistical models for understanding biomedical data. relatore: MASTRANTONIO, GIANLUCA; BIBBONA, ENRICO; , 36. XXXVI Ciclo, P.: 95
Doctoral Thesis - Yip, HIU CHING; Mastrantonio, Gianluca; Bibbona, Enrico; Marco, Gamba; Daria, Valente (2022)
Nearest Neighbours Gaussian Process Model for Time-Frequency Data: An Application in Bio-acoustic Analysis. In: International Workshop on Statistical Modelling, pp. 603-607. ISBN: 978-88-5511-309-0
Contributo in Atti di Convegno (Proceeding)