106
0

Likelihood Estimation with Incomplete Array Variate Observations

Abstract

Missing data estimation is an important challenge with high-dimensional data arranged in the form of an array.In this paper we propose a probability model for partially observed multi-way array data. Fisher scoring and expectation maximization are used for estimation of the parameters of this distribution. The main application is to missing data imputation for multi way data.

View on arXiv
Comments on this paper