Research
- Bayesian Methods for Time Series ForecastingA comprehensive study on applying Bayesian inference techniques to improve time series forecasting accuracy in financial markets.
- Machine Learning for Causal Inference in Observational StudiesInvestigating the use of machine learning algorithms to estimate causal effects from observational data with applications to healthcare.