Скачать с ютуб Bayesian Variable Selection for Efficient Graph Structure Learning - DARE Symposium 2023 в хорошем качестве

Bayesian Variable Selection for Efficient Graph Structure Learning - DARE Symposium 2023

10 Minute Thesis Presentation by DARE PhD Candidate, Linduni Rodrigo - February 2023 Linduni Rodrigo is a DARE PhD student who joined in February 2021. Her research interests include probabilistic modelling and variable selection methods, with particular application to -omics data. She holds a Master by research degree in Bioinformatics from the Queensland University of Technology and there she studied about the machine learning methods to identify interaction between genetic variants associated with complex diseases. She also holds a B.Sc. in Statistics from the University of Sri Jayewardenepura, Sri Lanka. After her bachelors she worked as a Research Assistant and a Probationary Lecturer at Sri Lanka Technological campus for 2 years.