A5100453421- Statistical Methods and Inference
- Healthcare Operations and Scheduling Optimization
- Statistical Methods and Bayesian Inference
- FinTech, Crowdfunding, Digital Finance
- Advanced Manufacturing and Logistics Optimization
- Blood Pressure and Hypertension Studies
- Artificial Intelligence in Healthcare
- Advanced Statistical Methods and Models
- Microfinance and Financial Inclusion
- Emergency and Acute Care Studies
- Digital Marketing and Social Media
- Rough Sets and Fuzzy Logic
- Machine Learning and Data Classification
- Control Systems and Identification
- Safety and Risk Management
- Healthcare Systems and Practices
- Bayesian Methods and Mixture Models
- Scheduling and Timetabling Solutions
- Vehicle Routing Optimization Methods
- Machine Learning in Healthcare
- Imbalanced Data Classification Techniques
- Data Mining Algorithms and Applications
- Ocular Diseases and Behçet’s Syndrome
- Technology Adoption and User Behaviour
- Cardiovascular Health and Disease Prevention
Huaiyin Normal University
2025
Institut National des Sciences Appliquées de Lyon
2015-2024
Université Claude Bernard Lyon 1
2017-2024
Decision & Information Sciences for Production Systems
2015-2024
Université Jean Monnet
2015-2024
Université Lumière Lyon 2
2024
Vinci (France)
2015-2024
University of Victoria
2022-2024
First Hospital of China Medical University
2022-2023
China Medical University
2022-2023
Abstract This paper uses both macro level and sectoral data to study the sources pattern of China's impressive economic growth over last 25 years. Extending accounting framework, we show that widening inequality, rural poverty, resource intensity are a large extent rooted in strategy, resolving them requires rebalancing policies. We find investment industrial sector has been single most important factor driving gross domestic product overall labor productivity since early 1990s. The shift...
Abstract Overlong waiting time in emergency services is an important matter which has negative influence on healthcare quality. This problem can be resolved by improving using modelling and discrete event simulation of system process. In this article, a model designed to represent the patient visit process using, respectively, IDS Scheer ARIS™ Rockwell Arena™. help us identify bottlenecks, adjust resources allocation or staff dimensioning without disturbing actual system. For purpose...
Journal Article Sufficient dimension reduction through discretization-expectation estimation Get access Liping Zhu, Zhu School of Finance and Statistics, East China Normal University, Shanghai 200241, Chinalpzhu@stat.ecnu.edu.cnneowangtao@hotmail.com Search for other works by this author on: Oxford Academic Google Scholar Tao Wang, Wang Lixing Department Mathematics, Hong Kong Baptist Kowloon Tong, Kong, Chinalzhu@hkbu.edu.hk Louis Ferré Institut de Mathématiques Toulouse, Université UMR...
Summary Local smoothing testing based on multivariate non-parametric regression estimation is one of the main model checking methodologies in literature. However, relevant tests suffer from typical curse dimensionality, resulting slow rates convergence to their limits under null hypothesis and less deviation alternative hypotheses. This problem prevents maintaining level significance well makes sensitive In paper, a adaptation concept lack-of-fit introduced dimension reduction model-adaptive...
Abstract Crowdfunding is a new financing channel for small and medium‐sized enterprises individual entrepreneurs to raise funds innovation projects online. In reward‐based crowdfunding, project sponsors invest money receive rewards as return. They may also participate in product development implementation value cocreators. This paper investigates how sponsors' cocreation behaviours lead their generation of psychological ownership the crowdfunding projects. The research model was developed,...
In real cases, missing values tend to contain meaningful information that should be acquired or analyzed before the incomplete dataset is used for machine learning tasks. this work, two algorithms named jointly fuzzy C-Means and vaguely quantified nearest neighbor (VQNN) imputation (JFCM-VQNNI) fitted VQNN (JFCM-FVQNNI) have been proposed by considering clustering conception sufficient extraction of uncertain information. JFCM-VQNNI JFCM-FVQNNI algorithm, value regarded as a decision...
Length of stay (LOS) is an important metric for the organization and scheduling care activities. This study sought to propose a LOS prediction method based on deep learning using widely available administrative data from acute emergency compare it with other methods. All admissions between January 1, 2011 December 31, 2019, at 6 university hospitals Hospices Civils de Lyon metropolis were included, leading cohort 1,140,100 stays 515,199 patients. Data included demographics, primary...
A model specification test is a statistical procedure used to assess whether given accurately represents the underlying data-generating process. The smoothing-based nonparametric widely due its efficiency against “singular” local alternatives. However, large modern datasets create various computational problems when implementing test. divide-and-conquer algorithm highly effective for handling datasets, as it can break down dataset into more manageable datasets. By applying...
Crowdfunding is an emerging financing channel for entrepreneurs to raise money their innovative projects online. project implementation has not gained enough attention in research. This article develops a research model investigate (1) the relationships among crowdfunding success criteria—rewarding delivery timeliness, extent which reward meets specifications and sponsors overall satisfaction, (2) moderating factors on relationships, including social responsibility, entrepreneur activeness,...