We provide a proof that the empirical spatial distribution estimator in $\mathbb R^d$ as well as the corresponding plug-in estimator of the spatial depth are uniformly $L^1$-consistent. The consistency rate only depends on the sample size $n$, not on the dime...
VQV Signal
RESEARCH
WATCH
TECHNICAL
Dimension-invariant uniform consistency of the empirical spatial distribution function and its associated spatial dep...
We provide a proof that the empirical spatial distribution estimator in $\mathbb R^d$ as well as the corresponding plug-in estimator of the spatial depth are uniformly $L^1$-consistent. The consistency rate only depends on the sample size $n$, not on the dime...
We provide a proof that the empirical spatial distribution estimator in $\mathbb R^d$ as well as the corresponding plug-in estimator of the spatial depth are uniformly $L^1$-consistent. The consistency rate only depends on the sample size $n$, not on the dimension $d$ or any tuning or regularization parameters....
VQV organizes public signals from inspectable sources. It does not independently verify the underlying report.
Signal Strength 94%
Technical label WATCH
Public Interest 28
Category RESEARCH
Reader Depth TECHNICAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 51
Practical Impact Score 0
Novelty Interest Score 48
Consequence Score 18
Curiosity Score 0
Shareability Score 28
Products
Topics
VQV surfaced this signal because it is recent, relevant to Consumer AI, connected to arXiv.
No login, cookies, social SDKs, or automatic posting.