Citation notice #191 · 2026-07-11 03:18:48.592141+00:00

Conformity-Based Bayesian Projective Prediction

cites Vladimir Vovk, Alexander Gammerman, and Glenn Shafer.Algorithmic Learning in a Ran- dom World, which carries a correction notice dated 2016-10-17. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.

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01Evidence

Raw extraction · bibliography line · bibliography index 1

doi: 10.1007/s11222-016-9696-4. Vladimir Vovk, Alexander Gammerman, and Glenn Shafer.Algorithmic Learning in a Ran- dom World. Springer, New York, 2005. Vladimir Vovk, Jieli Shen, Valery Manokhin, and Min-ge Xie. Nonparametric predictive distributions based on conformal prediction.Machine Learning, 108(3):445–474, 2019. doi: 10.1007/s10994-018-5755-8. Conference version inProceedings of COPA 2017,PMLR 60:82–102 (2017). A Proofs A.1 Proof of Proposition 2 We follow the argument of Foutz [1977], applying the Inverse Function Theorem to establish existence, consistency, and uniqueness ofban before deriving the asymptotic distribution. 27 LetI(a) =E[−∂ aψ(Y;a)]. The domination condition in (A2) and dominated convergence implyI(a) is continuous neara ∗ 0, withI(a ∗

02Event

Type

Correction

Source

Crossref

Original DOI

10.1007/s11222-016-9696-4

Notice DOI

10.1007/s11222-016-9709-3

Date

2016-10-17

Title

Erratum to: Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

Reasons

['Correction']

Work

Vladimir Vovk, Alexander Gammerman, and Glenn Shafer.Algorithmic Learning in a Ran- dom World (2005)

Schema constants (for re-runners): correction · crossref

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