Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.
Papers
(1 of 6)
Feasible model-based principal component analysis: Joint estimation of rank and error covariance matrix
published2024 · Computational Statistics & Data Analysis · 3 citations
with Adam Mahdi, P. Błaszczyk, Paweł Dłotko, Dario Salvi, John Harvey, Davide Gurnari, Yue Wu, Ahmad Shah Farhat, Niklas Hellmer, Alexander E. Zarebski, Bernie Hogan, Lionel Tarassenko, …
Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.