Empircal Likelihood-based Methods for Multiscale Data Integration

Thomas M. Menino Convention & Exhibition Center 

It is well-known that the empirical likelihood-based methods provide an easy way of data integration in a vast array of real-life problems. In this talk, we will discuss the application of such methods to multiscale data integration. Basic theory of empirical likelihood-based data integration will be introduced. Based on these preliminaries, we will discuss new methods for the integration of multiscale data. The methods would be illustrated with real-life examples.

Multiscale data

Empirical Likelihood

Bayesian empirical Likelihood

Approximate Bayesian Computation