Accounting for Changes in the Distribution of Data
thesisposted on 18.11.2021, 20:12 by Ciaran EvansCiaran Evans
Accomodating changes to the distribution of data in classification and inference procedures is an important
problem for statistics. For instance, statistical predictions often rely on the assumption that future data will follow the same distribution as past data, and predictions may fail when there is a change to the data generating process. In other cases, detecting changes to the distribution of data is of scientific interest itself. For example, when monitoring a patient's brain activity, a change may have serious health implications; and in cellular biology, characterizing differences between biological conditions is a key goal for experiments.
DepartmentStatistics and Data Science
- Doctor of Philosophy (PhD)