Ein Beitrag zur Entwicklung der Oszillografentechnik. - Peter Reichert (1990)

An Efficient Sampling Technique for Bayesian Inference With Computationally Demanding Models. - Peter Reichert; Mark J. Schervish; Mitchell J. Small (Technometrics, 2002)

Does high forecast uncertainty preclude effective decision support? - Peter Reichert; Mark E. Borsuk (Environ. Model. Softw., 2005)

Concepts of decision support for river rehabilitation. - Peter Reichert; Mark E. Borsuk; M. Hostmann; S. Schweizer; C. Spörri; Klement Tockner; Bernhard Truffer (Environ. Model. Softw., 2007)

A generic framework for deriving process stoichiometry in environmental models. - Peter Reichert; Nele Schuwirth (Environ. Model. Softw., 2010)

Mechanism-based emulation of dynamic simulation models: Concept and application in hydrology. - Peter Reichert; Gentry White; Maria J. Bayarri; E. Bruce Pitman (Comput. Stat. Data Anal., 2011)

Eliciting density ratio classes. - Simon L. Rinderknecht; Mark E. Borsuk; Peter Reichert (Int. J. Approx. Reason., 2011)

Calibration of computationally demanding and structurally uncertain models with an application to a lake water quality model. - Anne Dietzel; Peter Reichert (Environ. Model. Softw., 2012)

Bridging uncertain and ambiguous knowledge with imprecise probabilities. - Simon L. Rinderknecht; Mark E. Borsuk; Peter Reichert (Environ. Model. Softw., 2012)

Methodological aspects of multi-criteria decision analysis for policy support: A case study on pharmaceutical removal from hospital wastewater. - Nele Schuwirth; Peter Reichert; Judit Lienert (Eur. J. Oper. Res., 2012)

Constructing, evaluating and visualizing value and utility functions for decision support. - Peter Reichert; Nele Schuwirth; Simone Langhans (Environ. Model. Softw., 2013)

Combining expert knowledge and local data for improved service life modeling of water supply networks. - Lisa Scholten; Andreas Scheidegger; Peter Reichert; Max Maurer (Environ. Model. Softw., 2013)

The effect of ambiguous prior knowledge on Bayesian model parameter inference and prediction. - Simon L. Rinderknecht; Carlo Albert; Mark E. Borsuk; Nele Schuwirth; Hans R. Künsch; Peter Reichert (Environ. Model. Softw., 2014)

Model bias and complexity - Understanding the effects of structural deficits and input errors on runoff predictions. - Dario Del Giudice; Peter Reichert; Vojtech Bares; Carlo Albert; Jörg Rieckermann (Environ. Model. Softw., 2015)

Tackling uncertainty in multi-criteria decision analysis - An application to water supply infrastructure planning. - Lisa Scholten; Nele Schuwirth; Peter Reichert; Judit Lienert (Eur. J. Oper. Res., 2015)

Fast mechanism-based emulator of a slow urban hydrodynamic drainage simulator. - David Machac; Peter Reichert; Jörg Rieckermann; Carlo Albert (Environ. Model. Softw., 2016)

Emulation of dynamic simulators with application to hydrology. - David Machac; Peter Reichert; Carlo Albert (J. Comput. Phys., 2016)

Bayesian parameter inference for individual-based models using a Particle Markov Chain Monte Carlo method. - Mira Kattwinkel; Peter Reichert (Environ. Model. Softw., 2017)

Accelerating Bayesian inference in hydrological modeling with a mechanistic emulator. - David Machac; Peter Reichert; Jörg Rieckermann; Dario Del Giudice; Carlo Albert (Environ. Model. Softw., 2018)