Title: Joint clustering of temporally-dependent misaligned functional data - an application to annually laminated lake sediments
Abstract:
In order to properly quantify the effects of current global climate changes, it is important to understand how climate evolved in the past. Tree-rings, ice cores, corals, lake and sea sediments are among the natural archives that may carry such information.
Throughout this seminar, we will propose an application of Functional Data Analysis and Spatial Statistics to a dataset consisting of varved sediments obtained from Swedish and Finnish lakes, in an attempt to reconstruct the main climatic changes which involved the Fennoscandian Peninsula thousands of years ago.