About Cristian Felipe Jiménez Varón Cristian Felipe Jiménez Varón Ph.D. Student, Statistics functional data analysis Quantile spectral methods Functional Time Series forecasting Statistical Modeling Environmental Statistics Cristian Felipe Jiménez Varón is a Ph.D. candidate in the KAUST Environmental Statistics research group under the supervision of Professor Ying Sun. Before joining KAUST, Cristian obtained a master's degree in applied mathematics from the Universidad Nacional de Colombia Sede Manizales (UNAL), Colombia. He also holds dual bachelor's degrees in industrial engineering and chemical engineering from UNAL. Research Interests Cristian's research interests include the analysis of large volumes of data, statistical modeling and environmental statistics. Events Presented Events May 19 - May 25, 2024 Visualization, Characterization, and Forecasting of Multivariate and Functional Time Series Cristian Felipe Jiménez Varón, Ph.D. Student, Statistics May 22, 14:00 - 16:00 B4 L5 R5220 This thesis explores advanced statistical models and methods for analyzing multivariate and functional time series data. It focuses on various aspects of statistical analysis, including visualization, robust outlier detection, inference, and forecasting. It addresses challenges in outlier detection for functional data, quantile spectral estimation for multivariate time series, and high-dimensional functional time series forecasting, with applications in environmental, financial, and demographic fields.
Visualization, Characterization, and Forecasting of Multivariate and Functional Time Series Cristian Felipe Jiménez Varón, Ph.D. Student, Statistics May 22, 14:00 - 16:00 B4 L5 R5220 This thesis explores advanced statistical models and methods for analyzing multivariate and functional time series data. It focuses on various aspects of statistical analysis, including visualization, robust outlier detection, inference, and forecasting. It addresses challenges in outlier detection for functional data, quantile spectral estimation for multivariate time series, and high-dimensional functional time series forecasting, with applications in environmental, financial, and demographic fields.
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