Investigating River Water Quality Using Network Distance Based Spatiotemporal Flexible Regression

Wilkie, C., Ray, S. , Miller, C. and Scott, M. (2024) Investigating River Water Quality Using Network Distance Based Spatiotemporal Flexible Regression. In: 52nd Scientific Meeting of the Italian Statistical Society, Bari, Italy, 17-20 Jun 2024, (Accepted for Publication)

Abstract

No abstract available.

• Item Type: Conference Proceedings
• Additional Information: This work is part of the Ramganga project, funded by EPSRC (EP/T003669/1).
• Keywords: flexible regression, river network modelling, environmental statistics.
• Status: Accepted for Publication
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Miller, Professor Claire and Wilkie, Dr Craig and Scott, Professor Marian and Ray, Professor Surajit
• Authors: Wilkie, C., Ray, S., Miller, C., and Scott, M.
• College/School: College of Science and Engineering > School of Mathematics and Statistics > Statistics

Related URLs

• Organisation

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
305927		Developing statistical downscaling to improve water quality understanding and management in the Ramganga sub-basin	Surajit Ray	Engineering and Physical Sciences Research Council (EPSRC)	EP/T003669/1	M&S - Statistics