Flexible regression models over river networks
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Cited by:
- Seoncheol Park & Hee‐Seok Oh, 2022. "Lifting scheme for streamflow data in river networks," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(2), pages 467-490, March.
- Brian Gray & Vyacheslav Lyubchich & Yulia Gel & James Rogala & Dale Robertson & Xiaoqiao Wei, 2016. "Estimation of river and stream temperature trends under haphazard sampling," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 25(1), pages 89-105, March.
- Santos-Fernandez, Edgar & Ver Hoef, Jay M. & Peterson, Erin E. & McGree, James & Isaak, Daniel J. & Mengersen, Kerrie, 2022. "Bayesian spatio-temporal models for stream networks," Computational Statistics & Data Analysis, Elsevier, vol. 170(C).
- Matthew Heiner & Matthew J. Heaton & Benjamin Abbott & Philip White & Camille Minaudo & Rémi Dupas, 2023. "Model-Based Clustering of Trends and Cycles of Nitrate Concentrations in Rivers Across France," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(1), pages 74-98, March.
- Arnab Bhattacharjee & Liqian Cai & Taps Maiti, 2013. "Functional regression over irregular domains," SEEC Discussion Papers 1301, Spatial Economics and Econometrics Centre, Heriot Watt University.
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