Research projects

Partition-Mallows Model and Its Inference for Rank Aggregation

Team: Wanchuang Zhu

Rank aggregation can obtain an aggregated ranking list based on multiple ranking lists. Its performance closely relies on equal reliabilities of all the rankers. The problem of discerning reliability of rankers based only on the rank data is of great interest to many practitioners, but has received less attention from researchers. This project aims to develop new methods which can distinguish the reliabilities of rankers. This project expects to simultaneously obtain a consensus ranking list and qualities of rankers.

Paper has been accepted by the Journal of the American Statistical Association.