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2010 – 2019
- 2018
[j18]David Machac, Peter Reichert
, Jörg Rieckermann, Dario Del Giudice, Carlo Albert:
Accelerating Bayesian inference in hydrological modeling with a mechanistic emulator. Environ. Model. Softw. 109: 66-79 (2018)- 2017
- [j17]Mira Kattwinkel, Peter Reichert:
Bayesian parameter inference for individual-based models using a Particle Markov Chain Monte Carlo method. Environ. Model. Softw. 87: 110-119 (2017) - 2016
- [j16]David Machac, Peter Reichert, Jörg Rieckermann, Carlo Albert:
Fast mechanism-based emulator of a slow urban hydrodynamic drainage simulator. Environ. Model. Softw. 78: 54-67 (2016) - [j15]David Machac, Peter Reichert, Carlo Albert:
Emulation of dynamic simulators with application to hydrology. J. Comput. Phys. 313: 352-366 (2016) - 2015
- [j14]Dario Del Giudice, Peter Reichert, Vojtech Bares, Carlo Albert, Jörg Rieckermann:
Model bias and complexity - Understanding the effects of structural deficits and input errors on runoff predictions. Environ. Model. Softw. 64: 205-214 (2015) - [j13]Lisa Scholten, Nele Schuwirth, Peter Reichert, Judit Lienert:
Tackling uncertainty in multi-criteria decision analysis - An application to water supply infrastructure planning. Eur. J. Oper. Res. 242(1): 243-260 (2015) - 2014
- [j12]Simon L. Rinderknecht, Carlo Albert, Mark E. Borsuk, Nele Schuwirth, Hans R. Künsch, Peter Reichert:
The effect of ambiguous prior knowledge on Bayesian model parameter inference and prediction. Environ. Model. Softw. 62: 300-315 (2014) - 2013
- [j11]Lisa Scholten, Andreas Scheidegger, Peter Reichert, Max Maurer:
Combining expert knowledge and local data for improved service life modeling of water supply networks. Environ. Model. Softw. 42: 1-16 (2013) - [j10]Peter Reichert, Nele Schuwirth, Simone Langhans:
Constructing, evaluating and visualizing value and utility functions for decision support. Environ. Model. Softw. 46: 283-291 (2013) - 2012
- [j9]Simon L. Rinderknecht, Mark E. Borsuk, Peter Reichert:
Bridging uncertain and ambiguous knowledge with imprecise probabilities. Environ. Model. Softw. 36: 122-130 (2012) - [j8]Anne Dietzel, Peter Reichert:
Calibration of computationally demanding and structurally uncertain models with an application to a lake water quality model. Environ. Model. Softw. 38: 129-146 (2012) - [j7]Nele Schuwirth, Peter Reichert, Judit Lienert:
Methodological aspects of multi-criteria decision analysis for policy support: A case study on pharmaceutical removal from hospital wastewater. Eur. J. Oper. Res. 220(2): 472-483 (2012) - 2011
- [j6]Peter Reichert, Gentry White, Maria J. Bayarri, E. Bruce Pitman:
Mechanism-based emulation of dynamic simulation models: Concept and application in hydrology. Comput. Stat. Data Anal. 55(4): 1638-1655 (2011) - [j5]Simon L. Rinderknecht, Mark E. Borsuk, Peter Reichert:
Eliciting density ratio classes. Int. J. Approx. Reason. 52(6): 792-804 (2011) - 2010
- [j4]Peter Reichert, Nele Schuwirth:
A generic framework for deriving process stoichiometry in environmental models. Environ. Model. Softw. 25(10): 1241-1251 (2010)
2000 – 2009
- 2007
- [j3]Peter Reichert, Mark E. Borsuk, M. Hostmann, S. Schweizer, C. Spörri, Klement Tockner, Bernhard Truffer:
Concepts of decision support for river rehabilitation. Environ. Model. Softw. 22(2): 188-201 (2007) - 2005
- [j2]Peter Reichert, Mark E. Borsuk:
Does high forecast uncertainty preclude effective decision support? Environ. Model. Softw. 20(8): 991-1001 (2005) - 2002
- [j1]Peter Reichert, Mark J. Schervish, Mitchell J. Small:
An Efficient Sampling Technique for Bayesian Inference With Computationally Demanding Models. Technometrics 44(4): 318-327 (2002)
1990 – 1999
- 1990
- [b1]Peter Reichert:
Ein Beitrag zur Entwicklung der Oszillografentechnik. Dresden University of Technology, Germany, 1990
Coauthor Index
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