Bayesian methods are becoming an increasingly popular approach to data analysis across a wide range of research fields. They offer a flexible and structured framework for statistical inference, ...

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Combining various data sources and other types of information is becoming increasingly important in various types of analyses. Certain classes of Bayesian hierarchical models have shown to be ...

Abstract: Modeling statistics of image priors is useful for image super-resolution, but little attention has been paid from the massive works of deep learning-based methods. In this work, we propose a ...

2 College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China Objective To demonstrate an application of Bayesian model averaging (BMA) with generalised additive ...

Abstract: The stringent requirements on reliability and processing delay in the fifth-generation (5G) cellular networks introduce considerable challenges in the design of massive ...

1 Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China Correspondence to Dr Jason C. Yam, Department of Ophthalmology and Visual Sciences, Faculty ...

dIBTCI, Global Health Technical Assistance and Mission Support Project (GH-TAMS), Washington, DC, United States eUnited States Agency for International Development, Bureau of Global Health, Office of ...

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This repository is a collection of lecture notes and code on scientific computing and data analysis for Biomechanics and Motor Control. These notes (notebooks) are written using Jupyter Notebook, part ...

Objective Unlike several other fields of healthcare, little is known about the size of ‘therapist effects’ on patient ...