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

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

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

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 - 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

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

Simoni, Anna; Florens, Jean-Pierre - Théorie Économique, Modélisation, Application … - 2013

Persistent link: https://www.econbiz.de/10010699932

Top persuader prediction for social networks

Fang, Xiao; Hu, Paul Jen-Hwa - In: Management information systems : mis quarterly 42 (2018) 1, pp. 63-82

Persistent link: https://www.econbiz.de/10011847656

Constructing smooth tests without estimating the eigenpairs of the limiting process

Hsu, Shih-Hsun; Kuan, Chung-Ming - In: Journal of Econometrics 178 (2014) P1, pp. 71-79

Based on the well known Karhunen–Loève expansion, it can be shown that many omnibus tests lack power against “high frequency” alternatives. The smooth tests of Neyman (1937) may be employed to circumvent this power deficiency problem. Yet, such tests may be difficult to compute in many...

Persistent link: https://www.econbiz.de/10011052284