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A quantitative central limit theorem for the random walk among random conductances

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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

A quantitative central limit theorem for the random walk among random conductances

Graph Chatbot

Chattez avec Graph Search

Wasserstein Distributionally Robust Learning

Statistical Aspects of Wasserstein Distances

Statistical inference in ensemble modeling of cellular metabolism

Particle number control for direct simulation Monte-Carlo methodology using kernel estimates

Central limit theorems for multilevel Monte Carlo methods

MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation

Central limit theorems for multilevel Monte Carlo methods

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

Inference for binomial probability based on dependent Bernoulli random variables with applications to meta-analysis and group level studies

Dimensionality Reduction in Dynamic Optimization under Uncertainty

Wasserstein Distributionally Robust Learning

Statistical Aspects of Wasserstein Distances

Statistical inference in ensemble modeling of cellular metabolism

Central limit theorems for multilevel Monte Carlo methods

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

Central limit theorems for multilevel Monte Carlo methods

Particle number control for direct simulation Monte-Carlo methodology using kernel estimates

Dimensionality Reduction in Dynamic Optimization under Uncertainty

Inference for binomial probability based on dependent Bernoulli random variables with applications to meta-analysis and group level studies

MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation