International audienceExtreme events are defined as extreme high (or low) values of whatever statistics of the output of the system we are interested in. These values play an important role because they may correspond to abnormal or dangerous operating conditions. Classical statistical inference techniques provide a good description of central behaviour, but not of extreme events. This was our motivation for resorting to extreme-value theory, which provides a framework and tools to model these extreme events. We show in this paper how some of these tools can be used in the context of system reliability, and the resulting methodology is illustrated on an example of circuit design, representative of a wide new field of applications for extrem...
We define the extreme values of any random sample of size n from a distribution function F as the ob...
Extreme events are frequently observed in nature and in human activities; they tend to have severe a...
Extreme Value distributions arise as limiting distributions for maximums or minimums (extreme values...
International audienceExtreme events are defined as extreme high (or low) values of whatever statist...
Uncertainty may appear in a system due to external perturbations or dispersion of the design paramet...
Extreme value theory concerns the behavior of the extremes of a process or processes. The fundamenta...
There are numerous benefits of analysing and understanding extreme events. More specifically, quanti...
Extreme value theory is a modern statistical method for modelling events with a very low probability...
Extreme value theory (EVT) deals with extreme (rare) events, which are sometimes reported as outlier...
An improved method to estimate the probability of extreme events from independent observations is pr...
Assessing the probability of rare and extreme events is an important issue in the risk management of...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.Ca...
Measurement-based approaches with extreme value worst-case estimations are beginning to be proficien...
This paper considers the use of Extreme Value Theory (EVT) to model worst-case execution times. In p...
: Extreme Value Theory (EVT) originated, in 1928, in the work of Fisher and Tippett describing ...
We define the extreme values of any random sample of size n from a distribution function F as the ob...
Extreme events are frequently observed in nature and in human activities; they tend to have severe a...
Extreme Value distributions arise as limiting distributions for maximums or minimums (extreme values...
International audienceExtreme events are defined as extreme high (or low) values of whatever statist...
Uncertainty may appear in a system due to external perturbations or dispersion of the design paramet...
Extreme value theory concerns the behavior of the extremes of a process or processes. The fundamenta...
There are numerous benefits of analysing and understanding extreme events. More specifically, quanti...
Extreme value theory is a modern statistical method for modelling events with a very low probability...
Extreme value theory (EVT) deals with extreme (rare) events, which are sometimes reported as outlier...
An improved method to estimate the probability of extreme events from independent observations is pr...
Assessing the probability of rare and extreme events is an important issue in the risk management of...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.Ca...
Measurement-based approaches with extreme value worst-case estimations are beginning to be proficien...
This paper considers the use of Extreme Value Theory (EVT) to model worst-case execution times. In p...
: Extreme Value Theory (EVT) originated, in 1928, in the work of Fisher and Tippett describing ...
We define the extreme values of any random sample of size n from a distribution function F as the ob...
Extreme events are frequently observed in nature and in human activities; they tend to have severe a...
Extreme Value distributions arise as limiting distributions for maximums or minimums (extreme values...