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The effect of ambiguous prior knowledge on Bayesian model parameter inference and prediction
Rinderknecht, S. L., Albert, C., Borsuk, M. E., Schuwirth, N., Künsch, H. R., & Reichert, P. (2014). The effect of ambiguous prior knowledge on Bayesian model parameter inference and prediction. Environmental Modelling and Software, 62, 300-315. https://doi.org/10.1016/j.envsoft.2014.08.020
A Bayesian network model for integrative river rehabilitation planning and management
Borsuk, M. E., Schweizer, S., & Reichert, P. (2012). A Bayesian network model for integrative river rehabilitation planning and management. Integrated Environmental Assessment and Management, 8(3), 462-472. https://doi.org/10.1002/ieam.233
Bridging uncertain and ambiguous knowledge with imprecise probabilities
Rinderknecht, S. L., Borsuk, M. E., & Reichert, P. (2012). Bridging uncertain and ambiguous knowledge with imprecise probabilities. Environmental Modelling and Software, 36, 122-130. https://doi.org/10.1016/j.envsoft.2011.07.022
Contributions to the use of imprecise scientific knowledge in decision support
Rinderknecht, S. L. (2011). Contributions to the use of imprecise scientific knowledge in decision support [Doctoral dissertation, ETH Zürich]. https://doi.org/10.3929/ethz-a-007313975
Eliciting Density Ratio Classes
Rinderknecht, S. L., Borsuk, M. E., & Reichert, P. (2011). Eliciting Density Ratio Classes. International Journal of Approximate Reasoning, 52(6), 792-804. https://doi.org/10.1016/j.ijar.2011.02.002
Bayesian experimental design of tracer studies to monitor wastewater leakage from sewer networks
Rieckermann, J., Borsuk, M. E., Sydler, D., Gujer, W., & Reichert, P. (2010). Bayesian experimental design of tracer studies to monitor wastewater leakage from sewer networks. Water Resources Research, 46(8), 1-14. https://doi.org/10.1029/2009WR008630
Uncertainty and risk in climate projections for the 21st century: comparing mitigation to non-intervention scenarios
Tomassini, L., Knutti, R., Plattner, G. K., van Vuuren, D. P., Stocker, T. F., Howarth, R. B., & Borsuk, M. E. (2010). Uncertainty and risk in climate projections for the 21st century: comparing mitigation to non-intervention scenarios. Climatic Change, 103(3–4), 399-422. https://doi.org/10.1007/s10584-009-9763-3
A smoothing algorithm for estimating stochastic, continuous time model parameters and its application to a simple climate model
Tomassini, L., Reichert, P., Künsch, H. R., Buser, C., Knutti, R., & Borsuk, M. E. (2009). A smoothing algorithm for estimating stochastic, continuous time model parameters and its application to a simple climate model. Journal of the Royal Statistical Society. Series C: Applied Statistics, 58(5), 679-704. https://doi.org/10.1111/j.1467-9876.2009.00678.x
Charting a path for innovative toilet technology using multicriteria decision analysis
Borsuk, M. E., Maurer, M., Lienert, J., & Larsen, T. A. (2008). Charting a path for innovative toilet technology using multicriteria decision analysis. Environmental Science and Technology, 42(6), 1855-1862. https://doi.org/10.1021/es702184p
Estrogenic endocrine disruption in Switzerland: assessment of fish exposure and effects
Burkhardt-Holm, P., Segner, H., Burki, R., Peter, A., Schubert, S., Suter, M. J. F., & Borsuk, M. E. (2008). Estrogenic endocrine disruption in Switzerland: assessment of fish exposure and effects. Chimia, 62(5), 376-382. https://doi.org/10.2533/chimia.2008.376
Identifying functional groups of phytoplankton using data from three lakes of different trophic state
Mieleitner, J., Borsuk, M., Bürgi, H. R., & Reichert, P. (2008). Identifying functional groups of phytoplankton using data from three lakes of different trophic state. Aquatic Sciences, 70(1), 30-46. https://doi.org/10.1007/s00027-007-0940-z
Relating atrazine degradation rate in soil to environmental conditions: implications for global fate modeling
Fenner, K., Lanz, V. A., Scheringer, M., & Borsuk, M. E. (2007). Relating atrazine degradation rate in soil to environmental conditions: implications for global fate modeling. Environmental Science and Technology, 41(8), 2840-2846. https://doi.org/10.1021/es061923i
Concepts of decision support for river rehabilitation
Reichert, P., Borsuk, M., Hostmann, M., Schweizer, S., Spörri, C., Tockner, K., & Truffer, B. (2007). Concepts of decision support for river rehabilitation. Environmental Modelling and Software, 22(2), 188-201. https://doi.org/10.1016/j.envsoft.2005.07.017
Predicting joint frequency distributions of depth and velocity for instream habitat assessment
Schweizer, S., Borsuk, M. E., Jowett, I., & Reichert, P. (2007). Predicting joint frequency distributions of depth and velocity for instream habitat assessment. River Research and Applications, 23(3), 287-302. https://doi.org/10.1002/rra.980
Predicting the consequences of river rehabilitation measures on morphology, hydraulics, periphyton and on invertebrates
Schweizer, S. P. (2007). Predicting the consequences of river rehabilitation measures on morphology, hydraulics, periphyton and on invertebrates [Doctoral dissertation]. ETH Zürich.
Predicting the morphological and hydraulic consequences of river rehabilitation
Schweizer, S., Borsuk, M. E., & Reichert, P. (2007). Predicting the morphological and hydraulic consequences of river rehabilitation. River Research and Applications, 23(3), 303-322. https://doi.org/10.1002/rra.981
The economic impacts of river rehabilitation: a regional Input-Output analysis
Spörri, C., Borsuk, M., Peters, I., & Reichert, P. (2007). The economic impacts of river rehabilitation: a regional Input-Output analysis. Ecological Economics, 62(2), 341-351. https://doi.org/10.1016/j.ecolecon.2006.07.001
Case studies in estimation and representation of uncertainty in climate modelling
Tomassini, L. F. (2007). Case studies in estimation and representation of uncertainty in climate modelling [Doctoral dissertation]. ETH Zürich.
Robust Bayesian uncertainty analysis of climate system properties using Markov chain Monte Carlo methods
Tomassini, L., Reichert, P., Knutti, R., Stocker, T. F., & Borsuk, M. E. (2007). Robust Bayesian uncertainty analysis of climate system properties using Markov chain Monte Carlo methods. Journal of Climate, 20(7), 1239-1254. https://doi.org/10.1175/JCLI4064.1
Assessing the decline of brown trout (<I>Salmo trutta</I>) in Swiss rivers using a Bayesian probability network
Borsuk, M. E., Reichert, P., Peter, A., Schager, E., & Burkhardt-Holm, P. (2006). Assessing the decline of brown trout (Salmo trutta) in Swiss rivers using a Bayesian probability network. Ecological Modelling, 192(1-2), 224-244. https://doi.org/10.1016/j.ecolmodel.2005.07.006