ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1209.2669
96
0
v1v2v3v4v5v6v7v8v9 (latest)

Likelihood Estimation with Incomplete Array Variate Observations

12 September 2012
Deniz Akdemir
ArXiv (abs)PDFHTML
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