E-LIB Suche - Ergebnisse für: Albert, Carlo

1

Exploring Signature‐Based Model Calibration for Streamflow ..:

Dal Molin, Marco ; Kavetski, Dmitri ; Albert, Carlo.
Water Resources Research. 59 (2023) 7 - p. , 2023

2

A comparison of numerical approaches for statistical infere..:

Bacci, Marco ; Sukys, Jonas ; Reichert, Peter..
Stochastic Environmental Research and Risk Assessment. 37 (2023) 8 - p. 3041-3061 , 2023

Link: https://doi.org/10.1007/..

3

Bayesian parameter inference in hydrological modelling usin..:

Ulzega, Simone ; Albert, Carlo
Hydrology and Earth System Sciences. 27 (2023) 15 - p. 2935-2950 , 2023

Link: https://doi.org/10.5194/..

4

Improving hydrologic models for predictions andprocess unde..:

Höge, Marvin ; Scheidegger, Andreas ; Baity-Jesi, Marco..
Hydrology and Earth System Sciences. 26 (2022) 19 - p. 5085-5102 , 2022

Link: https://doi.org/10.5194/..

5

Learning Summary Statistics for Bayesian Inference with Aut..:

Albert, Carlo ; Ulzega, Simone ; Ozdemir, Firat..
SciPost Physics Core. 5 (2022) 3 - p. , 2022

Link: https://doi.org/10.21468..

6

Can Stochastic Resonance Explain Recurrence of Grand Minima:

Albert, Carlo ; Ferriz-Mas, Antonio ; Gaia, Filippo.
The Astrophysical Journal Letters. 916 (2021) 2 - p. L9 , 2021

Link: https://doi.org/10.3847/..

7

Signature‐Domain Calibration of Hydrological Models Using A..:

Kavetski, Dmitri ; Fenicia, Fabrizio ; Reichert, Peter.
Water Resources Research. 54 (2018) 6 - p. 4059-4083 , 2018

Link: https://doi.org/10.1002/..

8

Signature‐Domain Calibration of Hydrological Models Using A..:

Fenicia, Fabrizio ; Kavetski, Dmitri ; Reichert, Peter.
Water Resources Research. 54 (2018) 6 - p. 3958-3987 , 2018

Link: https://doi.org/10.1002/..

9

Accelerating Bayesian inference in hydrological modeling wi..:

Machac, David ; Reichert, Peter ; Rieckermann, Jörg..
Environmental Modelling & Software. 109 (2018) - p. 66-79 , 2018

Link: https://doi.org/10.1016/..

10

Appraisal of data-driven and mechanistic emulators of nonli..:

Carbajal, Juan Pablo ; Leitão, João Paulo ; Albert, Carlo.
Environmental Modelling & Software. 92 (2017) - p. 17-27 , 2017

Link: https://doi.org/10.1016/..

11

Boosting Bayesian parameter inference of nonlinear stochast..:

Albert, Carlo ; Ulzega, Simone ; Stoop, Ruedi
Physical Review E. 93 (2016) 4 - p. , 2016

Link: https://doi.org/10.1103/..

12

Modelling survival: exposure pattern, species sensitivity a..:

Ashauer, Roman ; Albert, Carlo ; Augustine, Starrlight...
Scientific Reports. 6 (2016) 1 - p. , 2016

Link: https://doi.org/10.1038/..

13

Emulation of dynamic simulators with application to hydrolo..:

Machac, David ; Reichert, Peter ; Albert, Carlo
Journal of Computational Physics. 313 (2016) - p. 352-366 , 2016

Link: https://doi.org/10.1016/..

14

Describing the catchment‐averaged precipitation as a stocha..:

Del Giudice, Dario ; Albert, Carlo ; Rieckermann, Jörg.
Water Resources Research. 52 (2016) 4 - p. 3162-3186 , 2016

Link: https://doi.org/10.1002/..

15

Computationally Efficient Implementation of a Novel Algorit..:

Albert, Carlo ; Vogel, Sören ; Ashauer, Roman.
PLOS Computational Biology. 12 (2016) 6 - p. e1004978 , 2016

Link: https://doi.org/10.1371/..