Garritt Page, Assistant Professor, Brigham Young University, USA
Date: 13 DECEMBER 2018 at 14:00
Event location: Department of Statistics, Seminar Room 1st floor, Via Belle Arti 41, Bologna
Type: Statistics Seminars
Abstract:
Data that are spatially referenced often represent an instantaneous point in time at which the spatial
process is measured. Because of this it is becoming more common to consider spatio-temporal
processes and accommodate both temporal and spatial dependence. We propose capturing the
temporal evolution of dependent structures by modeling a sequence of partitions indexed by time
jointly. We derive a few characteristics from the joint model and show how it impacts dependence
at the observation level. Computational strategies are detailed and the method is applied to Chilean
standardized testing scores.