Publications related to Approche mathématique de l'impact des sites contaminés sur les eaux souterraines dans un contexte d'analyse de risque

Statistical Aspects of Wasserstein Distances

Wasserstein distances are metrics on probability distributions inspired by the problem of optimal mass transportation. Roughly speaking, they measure the minimal effort required to reconfigure the probability mass of one distribution in order to recover th ...

ANNUAL REVIEWS2019

A Data-Driven Approach Based on Multivariate Copulas for Quantitative Risk Assessment of Concrete Dam

Zhenzhu Meng, Yating Hu, Chenfei Shao

Risk assessment of dam's running status is an important part of dam management. A data-driven method based on monitored displacement data has been applied in risk assessment, owing to its easy operation and real-time analysis. However, previous data-driven ...

MDPI2019

A central limit theorem for functions of stationary max-stable random fields on R-d

Erwan Fabrice Koch, Clément Dombry

Max-stable random fields are very appropriate for the statistical modelling of spatial extremes. Hence, integrals of functions of max-stable random fields over a given region can play a key role in the assessment of the risk of natural disasters, meaning t ...

ELSEVIER2019

Influence of density of large stems on the blocking probability at spillways

Anton Schleiss, Michael Pfister, José Pedro Gamito de Saldanha Calado Matos, Paloma Furlan

Dam safety is strongly linked to the probability of occurrence of large floods. Floods can transport large wood (LW) into reservoirs and towards water release structures as spillways. Due to blocking and clogging, LW may significantly influence the dischar ...

Utah State University2018

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Fei Pu

In this thesis, we study systems of linear and/or non-linear stochastic heat equations and fractional heat equations in spatial dimension

1

driven by space-time white noise. The main topic is the study of hitting probabilities for the solutions to these ...

EPFL2018

Semiparametric Bayesian Risk Estimation for Complex Extremes

Thomas Lugrin

Extreme events are responsible for huge material damage and are costly in terms of their human and economic impacts. They strike all facets of modern society, such as physical infrastructure and insurance companies through environmental hazards, banking an ...

EPFL2018

Efficient Learning from Comparisons

Lucas Maystre

Humans are comparison machines: comparing and choosing an item among a set of alternatives (such as objects or concepts) is arguably one of the most natural ways for us to express our preferences and opinions. In many applications, the analysis of data con ...

EPFL2018

The role of uncertainty in dam failure frequency estimates: a conceptual case study

Anton Schleiss, José Pedro Gamito de Saldanha Calado Matos

The return period of combinations of events that are relevant to dam risk analysis is very high. It falls in a range of hundreds to millions of years, but remains hard to quantify with precision. Deterministic approaches to dam safety assessment typically ...

CRC Press/Balkema2018

Characterization of input uncertainties in strategic energy planning models

Michel Bierlaire, François Maréchal, Stefano Moret, Victor Codina Gironès

Various countries and communities are defining strategic energy plans driven by concerns for climate change and security of energy supply. Energy models can support this decision-making process. The long-term planning horizon requires uncertainty to be acc ...

Elsevier Sci Ltd2017

Model Uncertainty And Scenario Aggregation

Damir Filipovic, Mathieu Jacques David Cambou

This paper provides a coherent method for scenario aggregation addressing model uncertainty. It is based on divergence minimization from a reference probability measure subject to scenario constraints. An example from regulatory practice motivates the defi ...

Wiley-Blackwell2017

Approche mathématique de l'impact des sites contaminés sur les eaux souterraines dans un contexte d'analyse de risque

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Statistical Aspects of Wasserstein Distances

A Data-Driven Approach Based on Multivariate Copulas for Quantitative Risk Assessment of Concrete Dam

A central limit theorem for functions of stationary max-stable random fields on R-d

Influence of density of large stems on the blocking probability at spillways

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Semiparametric Bayesian Risk Estimation for Complex Extremes

Efficient Learning from Comparisons

The role of uncertainty in dam failure frequency estimates: a conceptual case study

Characterization of input uncertainties in strategic energy planning models

Model Uncertainty And Scenario Aggregation

Statistical Aspects of Wasserstein Distances

A central limit theorem for functions of stationary max-stable random fields on R-d

Efficient Learning from Comparisons

A Data-Driven Approach Based on Multivariate Copulas for Quantitative Risk Assessment of Concrete Dam

Semiparametric Bayesian Risk Estimation for Complex Extremes

Model Uncertainty And Scenario Aggregation

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Influence of density of large stems on the blocking probability at spillways

Characterization of input uncertainties in strategic energy planning models

The role of uncertainty in dam failure frequency estimates: a conceptual case study