CORDIS Project
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This project aims to advance Bayesian statistical methods for analyzing complex data sets across various fields. It focuses on developing a theoretical framework for high-dimensional models and their computational challenges, enhancing understanding and application of Bayesian inference.
In the modern era of complex and large data sets, there is stringent need for flexible, sound and scalable inferential methods to analyse them.
Bayesian approaches have been increasingly used in statistics and machine learning and in all sorts of applications such as biostatistics, astrophysics, social science etc.
Major advantages of Bayesian approaches are: their ability to model complex models in a hierarchical way, their coherency and ability to deliver not only point estimators but also mea…
UNIVERSITE PARIS DAUPHINE
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United Kingdom, Oxford
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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