Publications associées à Extremal behaviour of aggregated data with an application to downscaling

Stochastic dynamics of snow avalanche occurrence by superposition of Poisson processes

We study the dynamics of systems with deterministic trajectories randomly forced by instantaneous discontinuous jumps occurring according to two different compound Poisson processes. One process, with constant frequency, causes instantaneous positive rando ...

Royal Soc2012

The Analog Formulation of Sparsity Implies Infinite Divisibility and Rules Out Bernoulli-Gaussian Priors

Michaël Unser, Arash Amini, Ulugbek Kamilov

Motivated by the analog nature of real-world signals, we investigate continuous-time random processes. For this purpose, we consider the stochastic processes that can be whitened by linear transformations and we show that the distribution of their samples ...

Ieee2012

The Analog Formulation of Sparsity Implies Infinite Divisibility and Rules Out Bernoulli-Gaussian Priors

Michaël Unser, Azin Amini, Ulugbek Kamilov

IEEE2012

Bedload transport on steep slope: a stochastic framework.

Christophe Ancey, Joris Heyman, François Mettra

Among the recent experimental studies focusing on the stochastic nature of bedload transport, some results are particularly intriguing: in experiments in which tagged particles (tracers) are tracked, the statistical moments of the time evolution of particl ...

2011

Alternative(s) to fractional-diffusion equations in bedload transport models.

Christophe Ancey, François Mettra, Valentin Métraux

The idea of stochastic sediment transport models emerged in the 1930s, notably with the doctoral work of Hans A. Einstein (1936). Einstein's seminal work gave impulse to several stochastic models, which usually led to thin-tailed or bounded distributions f ...

2010

Model misspecification in peaks over threshold analysis

Anthony Christopher Davison, Mária Süveges

Classical peaks over threshold analysis is widely used for statistical modeling of sample extremes, and can be supplemented by a model for the sizes of clusters of exceedances. Under mild conditions a compound Poisson process model allows the estimation of ...

2010

Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models

Wulfram Gerstner, Joao Emanuel Felipe Gerhard

Generalized Linear Models (GLMs) are an increasingly popular framework for modeling neural spike trains. They have been linked to the theory of stochastic point processes and researchers have used this relation to assess goodness-of-fit using methods from ...

Massachusetts Institute of Technology Press2010

Stochastic modeling in sediment dynamics: Exner equation for planar bed incipient bed load transport conditions

Christophe Ancey

Even under flow equilibrium conditions, river bed topography continuously evolves with time, producing trains of irregular bed forms. The idea has recently emerged that the variability in the bed form geometry results from some randomness in sediment flux. ...

American Geophysical Union2010

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Extremal behaviour of aggregated data with an application to downscaling

Stochastic dynamics of snow avalanche occurrence by superposition of Poisson processes

The Analog Formulation of Sparsity Implies Infinite Divisibility and Rules Out Bernoulli-Gaussian Priors

The Analog Formulation of Sparsity Implies Infinite Divisibility and Rules Out Bernoulli-Gaussian Priors

Bedload transport on steep slope: a stochastic framework.

Alternative(s) to fractional-diffusion equations in bedload transport models.

The Stationary Behaviour of Fluid Limits of Reversible Processes is Concentrated on Stationary Points

Model misspecification in peaks over threshold analysis

Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models

Stochastic modeling in sediment dynamics: Exner equation for planar bed incipient bed load transport conditions

Macroscopic stability for nonfinite range kernels

Graph Chatbot

Chattez avec Graph Search

Stochastic dynamics of snow avalanche occurrence by superposition of Poisson processes

Model misspecification in peaks over threshold analysis

The Stationary Behaviour of Fluid Limits of Reversible Processes is Concentrated on Stationary Points

Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models

Stochastic modeling in sediment dynamics: Exner equation for planar bed incipient bed load transport conditions

Macroscopic stability for nonfinite range kernels

The Analog Formulation of Sparsity Implies Infinite Divisibility and Rules Out Bernoulli-Gaussian Priors

The Analog Formulation of Sparsity Implies Infinite Divisibility and Rules Out Bernoulli-Gaussian Priors

Bedload transport on steep slope: a stochastic framework.

Alternative(s) to fractional-diffusion equations in bedload transport models.