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Donsker's theorem

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Fréchet means in Wasserstein space

Yoav Zemel

This work studies the problem of statistical inference for Fréchet means in the Wasserstein space of measures on Euclidean spaces,

\mathcal W_2 ( \mathbb R^d )

. This question arises naturally from the problem of separating amplitude and phase variation i ...

EPFL2017

Donsker's theorem

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A NEW PROOF OF THE ERDOS-KAC CENTRAL LIMIT THEOREM

Nonparametric estimation for SDE with sparsely sampled paths: An FDA perspective

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

Stochastic partial differential equations driven by Lévy white noises

Fréchet means in Wasserstein space

Functional Central Limit Theorem for the Interface of the Symmetric Multitype Contact Process

Amplitude And Phase Variation Of Point Processes

Sources and forms of modelling uncertainties for structural identification

Statistical-thermodynamics modelling of the built environment in relation to urban ecology

Quantitative Version Of The Kipnis-Varadhan Theorem And Monte Carlo Approximation Of Homogenized Coefficients

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

A NEW PROOF OF THE ERDOS-KAC CENTRAL LIMIT THEOREM

Stochastic partial differential equations driven by Lévy white noises

Sources and forms of modelling uncertainties for structural identification

Statistical-thermodynamics modelling of the built environment in relation to urban ecology

Nonparametric estimation for SDE with sparsely sampled paths: An FDA perspective

Fréchet means in Wasserstein space

Functional Central Limit Theorem for the Interface of the Symmetric Multitype Contact Process

Amplitude And Phase Variation Of Point Processes

Quantitative Version Of The Kipnis-Varadhan Theorem And Monte Carlo Approximation Of Homogenized Coefficients