Isotonic conditional laws

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Hauptverfasser: Arnold, Sebastian, Ziegel, Johanna
Format: Preprint
Veröffentlicht: 2023
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author Arnold, Sebastian
Ziegel, Johanna
author_facet Arnold, Sebastian
Ziegel, Johanna
contents We introduce isotonic conditional laws (ICL) which extend the classical notion of conditional laws by the additional requirement that there exists an isotonic relationship between the random variable of interest and the conditioning random object. We show existence and uniqueness of ICL building on conditional expectations given $σ$-lattices. ICL corresponds to a classical conditional law if and only if the latter is already isotonic. ICL is motivated from a statistical point of view by showing that ICL emerges equivalently as the minimizer of an expected score where the scoring rule may be taken from a large class comprising the continuous ranked probability score (CRPS). Furthermore, ICL is calibrated in the sense that it is invariant to certain conditioning operations, and the corresponding event probabilities and quantiles are simultaneously optimal with respect to all relevant scoring functions. We develop a new notion of general conditional functionals given $σ$-lattices which is of independent interest.
format Preprint
id arxiv_https___arxiv_org_abs_2307_09032
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Isotonic conditional laws
Arnold, Sebastian
Ziegel, Johanna
Statistics Theory
We introduce isotonic conditional laws (ICL) which extend the classical notion of conditional laws by the additional requirement that there exists an isotonic relationship between the random variable of interest and the conditioning random object. We show existence and uniqueness of ICL building on conditional expectations given $σ$-lattices. ICL corresponds to a classical conditional law if and only if the latter is already isotonic. ICL is motivated from a statistical point of view by showing that ICL emerges equivalently as the minimizer of an expected score where the scoring rule may be taken from a large class comprising the continuous ranked probability score (CRPS). Furthermore, ICL is calibrated in the sense that it is invariant to certain conditioning operations, and the corresponding event probabilities and quantiles are simultaneously optimal with respect to all relevant scoring functions. We develop a new notion of general conditional functionals given $σ$-lattices which is of independent interest.
title Isotonic conditional laws
topic Statistics Theory
url https://arxiv.org/abs/2307.09032