The stationarity paradigm revisited: Hypothesis testing using diagnostics, summary metrics, and DREAM(ABC)

By Mojtaba Sadegh, Jasper A. Vrugt, Chonggang Xu, E. Volpi. 2015

47 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/85ed6ee202a38e453ea3429cb24f37b2d443e8f7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Jasper A. Vrugt
2. Mojtaba Sadegh
3. Jirka Šimůnek
4. Thomas Wöhling
5. Keith Beven
6. Ming Ye
7. M. T. V. Genuchten
8. M. Šejna

In Global and Planetary Change

1. Jasper A. Vrugt
2. Mojtaba Sadegh
3. Eric Laloy
4. Ming Ye
5. Hoshin V. Gupta
6. G. Schoups

In Water Science and Technology

1. Jasper A. Vrugt
2. Mojtaba Sadegh
3. Ming Ye
4. Thomas Wöhling
5. Eric Laloy
6. Hoshin V. Gupta
7. Keith Beven
8. G. Schoups

Citations in the corpus

• Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation (2016, methodology): “…1.986 Four different summary metrics of the discharge data are used for ABC inference, including S1 (-) the annual runoff coefficient, S2 (-) the annual988 baseflow coefficient, and S3 (day/mm) and S4 (-) two coefficients of the flow duration curve (Vrugt and Sadegh, 2013; Sadegh et al., 2015).”