Publications associées à SPHARMA approximations for stationary functional time series on the sphere

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Stability of stationary wave maps from a curved background to a sphere

Sohrab Mirshams Shahshahani

We study time and space equivariant wave maps from

M \times \mathbb{R} \rightarrow S^2

, where

M

is dieomorphic to a two dimensional sphere and admits an action of

SO(2)

by isometries. We assume that metric on

M

can be written as $dr^2+f^2(r)d\theta ...

2016

SPHARMA approximations for stationary functional time series on the sphere

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A Levy-derived process seen from its supremum and max-stable processes

Stability of stationary wave maps from a curved background to a sphere

Max-stable processes and stationary systems of Levy particles

A Unified Formulation of Gaussian Versus Sparse Stochastic Processes-Part II: Discrete-Domain Theory

A Unified Formulation of Gaussian Versus Sparse Stochastic Processes-Part I: Continuous-Domain Theory

Adaptive Image Resizing Based on Continuous-Domain Stochastic Modeling

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

Asymptotic linearity and Hadamard differentiability

Stochastic Models for Sparse and Piecewise-Smooth Signals

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

Stability of stationary wave maps from a curved background to a sphere

A Unified Formulation of Gaussian Versus Sparse Stochastic Processes-Part I: Continuous-Domain Theory

Adaptive Image Resizing Based on Continuous-Domain Stochastic Modeling

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

A Levy-derived process seen from its supremum and max-stable processes

Max-stable processes and stationary systems of Levy particles

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

A Unified Formulation of Gaussian Versus Sparse Stochastic Processes-Part II: Discrete-Domain Theory

Stochastic Models for Sparse and Piecewise-Smooth Signals

Asymptotic linearity and Hadamard differentiability