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. Stan Miles issued this report. It is usually issued weekly.

Subscribe to this report: email, RSS, or Mastodon.

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 01, Stata Users Group.
• Sébastien Gadat & Ioana Gavra, 2022. "Asymptotic study of stochastic adaptive algorithm in non-convex landscape," Post-Print hal-03857182, HAL.
• 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 vrmp9, Center for Open Science.
• Popov Alexandr & Deryabin Andrey & Gluhov Pavel, 2021. "Data-gravity and Data Science: Educational Approaches and Solutions [Дата-Грамостность И Наука О Данных: Образовательные Подходы И Решения]," Working Papers s21042, Russian Presidential Academy of National Economy and Public Administration.
• John List & Ian Muir & Gregory Sun, 2022. "Using Machine Learning for Efficient Flexible Regression Adjustment in Economic Experiments," Natural Field Experiments 00763, The Field Experiments Website.
• Dyrland, Kjetil & Lundervold, Alexander Selvikvåg & Porta Mana, PierGianLuca, 2022. "A probability transducer and decision-theoretic augmentation for machine-learning classifiers," OSF Preprints vct9y, Center for Open Science.
• Olayiwola Oladiran & Muhammad Abbas, 2022. "Analysing (A)Symmetries In Student Accommodation Pricing: Evidence From European Student Accommodation Market," AfRES 2022-017, African Real Estate Society (AfRES).
• Lorenzo Lucchese & Mikko Pakkanen & Almut Veraart, 2022. "The Short-Term Predictability of Returns in Order Book Markets: a Deep Learning Perspective," Papers 2211.13777, arXiv.org, 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 2022/06, OECD Publishing.
• Pierre-Loic M'eliot & Ashkan Nikeghbali & Gabriele Visentin, 2022. "Mod-Poisson approximation schemes: Applications to credit risk," Papers 2211.04436, arXiv.org.