Liu, Song, She, Dunxian, Zhang, Liping, Xia, Jun (2023) A hybrid time- and signature-domain Bayesian inference framework for calibration of hydrological models: a case study in the Ren River basin in China. Stochastic Environmental Research and Risk Assessment, 37 (1) 153-173 doi:10.1007/s00477-022-02282-3
Reference Type | Journal (article/letter/editorial) | ||
---|---|---|---|
Title | A hybrid time- and signature-domain Bayesian inference framework for calibration of hydrological models: a case study in the Ren River basin in China | ||
Journal | Stochastic Environmental Research and Risk Assessment | ||
Authors | Liu, Song | Author | |
She, Dunxian | Author | ||
Zhang, Liping | Author | ||
Xia, Jun | Author | ||
Year | 2023 (January) | Volume | 37 |
Issue | 1 | ||
Publisher | Springer Science and Business Media LLC | ||
DOI | doi:10.1007/s00477-022-02282-3Search in ResearchGate | ||
Generate Citation Formats | |||
Mindat Ref. ID | 15672628 | Long-form Identifier | mindat:1:5:15672628:5 |
GUID | 0 | ||
Full Reference | Liu, Song, She, Dunxian, Zhang, Liping, Xia, Jun (2023) A hybrid time- and signature-domain Bayesian inference framework for calibration of hydrological models: a case study in the Ren River basin in China. Stochastic Environmental Research and Risk Assessment, 37 (1) 153-173 doi:10.1007/s00477-022-02282-3 | ||
Plain Text | Liu, Song, She, Dunxian, Zhang, Liping, Xia, Jun (2023) A hybrid time- and signature-domain Bayesian inference framework for calibration of hydrological models: a case study in the Ren River basin in China. Stochastic Environmental Research and Risk Assessment, 37 (1) 153-173 doi:10.1007/s00477-022-02282-3 | ||
In | (2023, January) Stochastic Environmental Research and Risk Assessment Vol. 37 (1) Springer Science and Business Media LLC |
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