Deep attentive survival analysis in limit order books: estimating fill probabilities with convolutional-transformers
Summary
Deep attentive survival analysis in limit order books: estimating fill probabilities with convolutional-transformers is a scholarly article[1].
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Deep attentive survival analysis in limit order books: estimating fill probabilities with convolutional-transformers's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep attentive survival analysis in limit order books: estimating fill probabilities with convolutional-transformers. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-attentive-survival-analysis-in-limit-order-books-estimating-fill-probabilities-with-convolutional-transformers
MLA“Deep attentive survival analysis in limit order books: estimating fill probabilities with convolutional-transformers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-attentive-survival-analysis-in-limit-order-books-estimating-fill-probabilities-with-convolutional-transformers.
BibTeX@misc{4ortxyz_deep-attentive-survival-analysis-in-limit-order-books-estimating-fill-probabilities-with-convolutional-transformers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep attentive survival analysis in limit order books: estimating fill probabilities with convolutional-transformers}}, year = {2026}, url = {https://4ort.xyz/entity/deep-attentive-survival-analysis-in-limit-order-books-estimating-fill-probabilities-with-convolutional-transformers}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep attentive survival analysis in limit order books: estimating fill probabilities with convolutional-transformers — https://4ort.xyz/entity/deep-attentive-survival-analysis-in-limit-order-books-estimating-fill-probabilities-with-convolutional-transformers (retrieved 2026-05-24)