Multi split conformal prediction

Aldo Solari and Vera Djordjilović

Statistics & Probability Letters, 2022, vol. 184, issue C

Abstract: Split conformal prediction is a computationally efficient method for performing distribution-free predictive inference in regression. It involves, however, a one-time random split of the data, and the result can strongly depend on the particular split. To address this problem, we propose multi split conformal prediction, a simple method based on Markov’s inequality to aggregate split conformal prediction intervals across multiple splits.

Keywords: Conformal inference; Data splitting; Stability (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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DOI: 10.1016/j.spl.2022.109395

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