Time Series

Time Series Clustering: Pattern Recognition, Forecasting, and Amortized Inference

Ángel López Oriona, Postdoctoral Research Fellow, Statistics

May 14, 12:00 - 13:00

B9 R2325

Time Series Pattern Recognition forecasting statistical inference

This talk presents innovative time series clustering techniques, highlighting a quantile-based approach for analyzing locally stationary data, a predictive framework for enhanced forecasting, and the use of amortized inference to overcome traditional algorithmic limitations.

Hernando Ombao

Professor, Statistics

Time Series Spectral Analysis Wavelets Longitudinal Models Mixed Effects Models Functional Magnetic Resonance Imaging Electroencephalograms

KAUST Professor of Statistics Hernando Ombao is an expert in time series models and their applications to designed medical experiments on complex biological processes.