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Thanks for your interesting work titled "Calibration tests in multi-class classification: A unifying framework." I have a question regarding the derivation of equivalence, specifically in Lemma E.2 (Explicit formulation) of your appendix E.
In this lemma, it is stated that SKCE[k,g] = E[<∆, k(G,G')∆'>], where ∆ = E[e|G] − G = E[e − G|G]. By substituting ∆, I obtained SKCE[k,g] = E[<E[e − G|G], k(G,G') E[e' − G'|G']>. However, I am unsure how the conditional expectation can be eliminated to yield SKCE[k,g] = E[<e − G, k(G,G') (e'−G')>].
Personally, I believe that estimating such conditional expectations is crucial, particularly in high-dimensional cases where it can be challenging. Therefore, I am curious to know the reason behind its removal. Your response to this simple question would be greatly appreciated.
Thank you for your time and consideration.
The text was updated successfully, but these errors were encountered:
Dear Dr. Widmann,
Thanks for your interesting work titled "Calibration tests in multi-class classification: A unifying framework." I have a question regarding the derivation of equivalence, specifically in Lemma E.2 (Explicit formulation) of your appendix E.
In this lemma, it is stated that SKCE[k,g] = E[<∆, k(G,G')∆'>], where ∆ = E[e|G] − G = E[e − G|G]. By substituting ∆, I obtained SKCE[k,g] = E[<E[e − G|G], k(G,G') E[e' − G'|G']>. However, I am unsure how the conditional expectation can be eliminated to yield SKCE[k,g] = E[<e − G, k(G,G') (e'−G')>].
Personally, I believe that estimating such conditional expectations is crucial, particularly in high-dimensional cases where it can be challenging. Therefore, I am curious to know the reason behind its removal. Your response to this simple question would be greatly appreciated.
Thank you for your time and consideration.
The text was updated successfully, but these errors were encountered: