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

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

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 s ...

2017

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

Graph Chatbot

Chattez avec Graph Search

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Safe Adaptive Importance Sampling

Just Sort It! A Simple and Effective Approach to Active Preference Learning

An Application of Extreme Value Theory to Learning Analytics: Predicting Collaboration Outcome from Eye-tracking Data

Quasi-random numbers for copula models

MATHICSE Technical Report : Multilevel weighted least squares polynomial approximation

Validation of likelihood ratio methods for forensic evidence evaluation handling multimodal score distributions

Handheld reflectance acquisition of paintings

Shapes from Pixels

A characterization of the normal distribution using stationary max-stable processes

Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

An Application of Extreme Value Theory to Learning Analytics: Predicting Collaboration Outcome from Eye-tracking Data

Safe Adaptive Importance Sampling

Validation of likelihood ratio methods for forensic evidence evaluation handling multimodal score distributions

Handheld reflectance acquisition of paintings

Just Sort It! A Simple and Effective Approach to Active Preference Learning

Shapes from Pixels

Quasi-random numbers for copula models

MATHICSE Technical Report : Multilevel weighted least squares polynomial approximation

A characterization of the normal distribution using stationary max-stable processes