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

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MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Fabio Nobile, Giovanni Migliorati

We analyze the accuracy of the discrete least-squares approximation of a function u in multivariate polynomial spaces

P_\Lambda := span\{y \mapsto y^\nu | \nu \in \Lambda\}

with

\Lambda\subset N_0^d

over the domain

\Gamma := [-1,1]^d

, based on the sa ...

MATHICSE2015

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

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Riemannian Optimization For High-Dimensional Tensor Completion

Detection over diffusion networks: Asymptotic tools for performance prediction and simulation

MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

A Probabilistic Kernel Method for Human Mobility Prediction with Smartphones

Approximate Message Passing With Consistent Parameter Estimation and Applications to Sparse Learning

Efficient inference for spatial extreme value processes associated to log-Gaussian random functions

Role of sampling in evaluating classical time autocorrelation functions

Multisensor Change Detection with Nonlinear Canonical Correlation

Simulation-based uncertainty quantification of human arterial network hemodynamics

Robust Data-Driven Dynamic Programming

Riemannian Optimization For High-Dimensional Tensor Completion

Robust Data-Driven Dynamic Programming

Detection over diffusion networks: Asymptotic tools for performance prediction and simulation

MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Approximate Message Passing With Consistent Parameter Estimation and Applications to Sparse Learning

A Probabilistic Kernel Method for Human Mobility Prediction with Smartphones

Multisensor Change Detection with Nonlinear Canonical Correlation

Efficient inference for spatial extreme value processes associated to log-Gaussian random functions

Simulation-based uncertainty quantification of human arterial network hemodynamics

Role of sampling in evaluating classical time autocorrelation functions