Academic

This talk will present my research journey in Bayesian methods inspired by gravitational wave problems. Firstly, I will present recent developments in Bayesian nonparametric spectral analysis of stationary multivariate time series based on Whittle’s likelihood. A robust nonparametric Bayes inference using the nonparametric likelihood correction and a user-friendly scalable nonparametric Bayes inference using the variational method will be presented. Secondly, I will discuss artifacts in gravitational waves related to parameter estimation and show that a gap imputation can help improve parameter estimation.