Hilbert space embeddings of independence tests of several variables with radial basis functions

Fuente: arXiv
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1. Verfasser: Guella, Jean Carlo
Format: Preprint
Veröffentlicht: 2024
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author Guella, Jean Carlo
author_facet Guella, Jean Carlo
contents In this paper, we characterize several classes of continuous radial basis functions that can be employed to determine whether a interaction of a probability is zero or not. These functions encompass standard independence tests but also the Lancaster/Streitberg interactions, and are multivariate extensions of Bernstein functions. Addressing a gap in these two probability contexts of interactions, we introduce an indexed measure of independence that generalizes the Lancaster interaction. We present several examples of these functions derived from high-order completely monotone functions.
format Preprint
id arxiv_https___arxiv_org_abs_2407_06854
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Hilbert space embeddings of independence tests of several variables with radial basis functions
Guella, Jean Carlo
Classical Analysis and ODEs
Probability
42A82, 43A35, 44A10, 46E22, 62H15
In this paper, we characterize several classes of continuous radial basis functions that can be employed to determine whether a interaction of a probability is zero or not. These functions encompass standard independence tests but also the Lancaster/Streitberg interactions, and are multivariate extensions of Bernstein functions. Addressing a gap in these two probability contexts of interactions, we introduce an indexed measure of independence that generalizes the Lancaster interaction. We present several examples of these functions derived from high-order completely monotone functions.
title Hilbert space embeddings of independence tests of several variables with radial basis functions
topic Classical Analysis and ODEs
Probability
42A82, 43A35, 44A10, 46E22, 62H15
url https://arxiv.org/abs/2407.06854