Search Results - subject:"Data-driven method"

New online investor sentiment and asset returns

Cai, Zongwu; Chen, Pixiong - 2022

Persistent link: https://www.econbiz.de/10013483748

A multimodal data-driven approach for driving risk assessment

Bai, Congcong; Jin, Sheng; Jing, Jun; Yang, Chengcheng; … - In: Transportation research : an international journal 189 (2024), pp. 1-26

Persistent link: https://www.econbiz.de/10015095401

Using data-driven methods to detect financial statement fraud in the real scenario

Zhou, Ying; Xiao, Zhi; Gao, Ruize; Wang, Chang - In: International journal of accounting information systems 54 (2024), pp. 1-16

Persistent link: https://www.econbiz.de/10015072549

Impact of extreme weather in production economics : extracting evidence from user-generated content

Saura, José Ramón; Ribeiro-Navarrete, Samuel; … - In: International journal of production economics 260 (2023), pp. 1-11

Persistent link: https://www.econbiz.de/10014310267

Data-driven tree structure for PIN models

Lin, Emily; Kao, Chu-Lan Michael; Adityarini, Natasha Sonia - In: Review of quantitative finance and accounting 57 (2021) 2, pp. 411-427

Persistent link: https://www.econbiz.de/10012549949

Regularizing Priors for Linear Inverse Problems

Florens, Jean-Pierre; Simoni, Anna - HAL - 2013

parameter. We propose a new data-driven method for optimally selecting in practice this regularization parameter. We also …-type estimator in a frequentist setting. Under these conditions our data-driven method is valid for selecting the regularization …

Persistent link: https://www.econbiz.de/10010899494

Regularizing Priors for Linear Inverse Problems

Florens, Jean-Pierre; Simoni, Anna - Institut d'Économie Industrielle (IDEI), Toulouse … - 2013

distribution plays the role of a regularization parameter. We propose a new, and easy-to-implement, data-driven method for …-Gaussian setting, is equal to a Tikhonov-type estimator in a frequentist setting so that our data-driven method can be used in …

Persistent link: https://www.econbiz.de/10011158976