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Report NEP-CMP-2023-01-02
This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stanley Miles issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-CMP
The following items were announced in this report:
- Christian B. Hansen & Mark E. Schaffer & Achim Ahrens, 2022, "pystacked: Stacking generalization and machine learning in Stata," Swiss Stata Conference 2022, Stata Users Group, number 01, Nov.
- Sébastien Gadat & Ioana Gavra, 2022, "Asymptotic study of stochastic adaptive algorithm in non-convex landscape," Post-Print, HAL, number hal-03857182, Aug.
- Le, Anh Hoang & , Le Nguyen Hoai Thi & Huong, Luong Tran Hoang & , La Phu Hao & Nga, Nguyen Thi Thuy, 2022, "Ứng Dụng Phương Pháp Sem-Neural Network Để Xây Dựng Mô Hình Dự Báo Trải Nghiệm Khách Hàng Về Dịch Vụ Ngân Hàng Số Tại Các Ngân Hàng Thương Mại Việt Nam," OSF Preprints, Center for Open Science, number vrmp9, Nov, DOI: 10.31219/osf.io/vrmp9.
- Item repec:rnp:wpaper:s21042 is not listed on IDEAS anymore
- John List & Ian Muir & Gregory Sun, 2022, "Using Machine Learning for Efficient Flexible Regression Adjustment in Economic Experiments," Natural Field Experiments, The Field Experiments Website, number 00763.
- Dyrland, Kjetil & Lundervold, Alexander Selvikvåg & Porta Mana, PierGianLuca, 2022, "A probability transducer and decision-theoretic augmentation for machine-learning classifiers," OSF Preprints, Center for Open Science, number vct9y, Jun, DOI: 10.31219/osf.io/vct9y.
- Olayiwola Oladiran & Muhammad Abbas, 2022, "Analysing (A)Symmetries In Student Accommodation Pricing: Evidence From European Student Accommodation Market," AfRES, African Real Estate Society (AfRES), number 2022-017, Jan.
- Lorenzo Lucchese & Mikko Pakkanen & Almut Veraart, 2022, "The Short-Term Predictability of Returns in Order Book Markets: a Deep Learning Perspective," Papers, arXiv.org, number 2211.13777, Nov, revised Oct 2023.
- Flavio Calvino & Lea Samek & Mariagrazia Squicciarini & Cody Morris, 2022, "Identifying and characterising AI adopters: A novel approach based on big data," OECD Science, Technology and Industry Working Papers, OECD Publishing, number 2022/06, Dec, DOI: 10.1787/154981d7-en.
- Pierre-Loic M'eliot & Ashkan Nikeghbali & Gabriele Visentin, 2022, "Mod-Poisson approximation schemes: Applications to credit risk," Papers, arXiv.org, number 2211.04436, Oct.