The Biostatistics Group has been working on COVID-19 forecastings.
- COVID-19 epidemic simulator: [Link]
New paper submission:
Chee-Ming Ting, S. Balqis Samdin, Meini Tang, Hernando Ombao: Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach [Link]
Shuhao Jiao will join the KAUST Biostatistics Group as a Post-Doctoral Scholar effective October 2019. Dr. Jiao received his PhD University of California, Davis. His research is on functional time series.
Ombao to give a seminar at the University of Florence October 2019. [Link]
Students present research at the JSM 2019 (Denver):
Abdulrahman Althobaiti: Visualization and Analysis of Spectral Features in Time Series
Anass Bourakna: Stationary subspace representation of High dimensional time series
Guillermo Garcia: Bayesian nonparametric estimation of the spectral density function with application to rat LFP data
Matheus B. Guerrero: A New Perspective on Modeling Count Time Series Data
Meini Tang: State-related Dynamic Community Detection with Markov-switching Stochastic Block Model
Ombao presented research at the Universidade Federal de Minas Gerais, Brazil. [Link]
Ombao organized the workshop on Statistics in Neuroscience 2019 hosted at La Sapienza Rome and gave a department seminar. [Link]
Ombao presented research at ENAR 2019 (Philadelphia).
Guillermo Garcia, PhD Student, presented research at ENAR 2019 (Philadelphia): Spectral Analysis of Brain Signals: A New Bayesian Nonparametric Approach.