Incomplete observations in high-dimensional or functional spaces can be tested by averaging standard tests over finite-dimensional projections, provided missingness is independent of the data and every coordinate subset has a chance of being fully observed.
Bugni and Joel L
1 Pith paper cite this work, alongside 14 external citations. Polarity classification is still indexing.
1
Pith paper citing it
14
external citations · OpenAlex
fields
math.ST 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
A unified approach for testing in Hilbert spaces on incomplete data
Incomplete observations in high-dimensional or functional spaces can be tested by averaging standard tests over finite-dimensional projections, provided missingness is independent of the data and every coordinate subset has a chance of being fully observed.