|Statistical Modelling in Space and Time
|Prof Peter Challenor
Previous modules in statistics have treated data as independent and identically distributed, but real world data is not like that. In particular data collected in space and time can be highly correlated. In this module you will look at methods of modelling such dependent data. Furthermore, you will examine how to model data as a field in n-dimensions, and the particular problems associated with time series.
Please note that all modules are subject to change, please get in touch if you have any questions about this module.