My primary research interests lie in the field of statistics, with a secondary focus on finance. In my previous research I have focused on shrinkage estimators under high-dimensional settings, outlier detection, time series analysis using wavelet decomposition, multivariate analysis with missing observations and shrinkage estimators for various regression models in the context of multicollinearity.
Additionally, I have investigated model selection criteria in the context of multicollinearity, as well as shrinkage estimators for optimal portfolio weights and their corresponding risk measures.
Recently, I have broadened my research scope to encompass statistical learning and machine learning, with a particular focus on mixed data sampling. My current focus is on the application of these methods to nowcasting in economic contexts.