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Blockage Probability Modeling of Large Wood at Reservoir Spillways With Piers

Related publications (33)

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New Challenges in Disaggregate Behavioral Modeling

Thomas Robin

This thesis tackles new challenges associated with the disaggregate modeling of the human behavior. Decision-aid tools help in making decisions, by providing quantitative insights on the decisions and associated consequences. They are useful in complex sit ...

EPFL2011

The decision support tool MINDS for flood management in the upper Rhone river

Anton Schleiss, Javier García Hernández

The Upper Rhone River is located in the Swiss Alps. Several hydropower schemes with large reservoirs were built in the catchment area, strongly influencing its hydrological regime. In past decades, several floods caused disasters in the catchment area. The ...

2011

Modelling and simulation of floods in alpine catchments equipped with complex hydropower schemes

Anton Schleiss, Martin Peter Bieri

The simulation of run-off in an alpine catchment area equipped with complex hydropower schemes is presented by the help of an especially developed tool, called Routing System, which can combine hydrological modelling and operation of hydraulic elements. In ...

Ed. Dittrich, Koll, Aeberle & Geisenhainer (eds),2010

Safe density ratio modeling

Kjell Konis

An important problem in logistic regression modeling is the existence of the maximum likelihood estimators. In particular, when the sample size is small, the maximum likelihood estimator of the regression parameters does not exist if the data are completel ...

2009

Rank Aggregation in Scientific Publication Databases Based on Logistic Regression

Martin Rajman, Martin Veselý

The goal of the d-Rank project is to study rank aggregation in scientific publication databases. In our work we focus in particular on document ranking in the domain of particle physics and we work with the collection of CERN publications called the CERN D ...

2009

An integrated adaptive model for overheating risk prediction

Darren Robinson, Frédéric Haldi

Based on the results from a field survey campaign, this article describes three new developments which have been integrated to provide a comprehensive basis for the evaluation of overheating risk in offices. Firstly, a set of logistic regression equations ...

2008

Accurate parametric inference for small samples

Anthony Christopher Davison

We outline how modern likelihood theory, which provides essentially exact inferences in a variety of parametric statistical problems, may routinely be applied in practice. Although the likelihood procedures are based on analytical asymptotic approximations ...

2008

Sparse Probabilistic Classifiers

The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining this practice. Thus, when classification uncertainty has to be assessed, it i ...

2007

Sparse Probabilistic Classifiers

IDIAP2007

An Integrated Adaptive Model for Overheating Risk Prediction

Darren Robinson, Frédéric Haldi

Based on results from a field survey campaign, this paper describes three new developments which have been integrated to provide for a comprehensive basis for the evaluation of overheating risk in offices. Firstly, a set of logistic regression equations ha ...

2007