M
Martin Omlin
Researcher at Swiss Federal Institute of Aquatic Science and Technology
Publications - 4
Citations - 670
Martin Omlin is an academic researcher from Swiss Federal Institute of Aquatic Science and Technology. The author has contributed to research in topics: Identifiability & Bayesian probability. The author has an hindex of 4, co-authored 4 publications receiving 654 citations.
Papers
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Journal ArticleDOI
A comparison of techniques for the estimation of model prediction uncertainty
Martin Omlin,Peter Reichert +1 more
TL;DR: The basic concepts of frequentist and Bayesian techniques for the identification of model parameters and the estimation of model prediction uncertainty are briefly reviewed in this paper, where a simple example with synthetically generated data sets of a model for microbial substrate conversion is used as a didactical tool for analyzing strengths and weaknesses of both techniques in the context of environmental system identification.
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On the usefulness of overparameterized ecological models
Peter Reichert,Martin Omlin +1 more
TL;DR: In this paper, the advantages and disadvantages of both the classical and the Bayesian methodology are discussed, and it is argued that from a methodical point of view, for poorly identifiable systems typical in ecological modelling, the bayesian technique is the superior approach.
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Biogeochemical model of Lake Zürich : sensitivity, identifiability and uncertainty analysis
TL;DR: In this paper, a model for the description of nutrient, oxygen and plankton dynamics in Lake Zurich, Switzerland has been developed, and a systematic approach to tackle this problem is applied to this model.
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Biogeochemical model of Lake Zurich: model equations and results
TL;DR: A mathematical model for plankton, nutrient (phosphate, ammonia and nitrate) and oxygen dynamics in lakes was developed and was able to reproduce the key features of the nutrient and oxygen profiles and of algae–zooplankton interactions over several years but was not able to predict occasionally occurring blooms of specific types of algae.