Likelihood estimators for multivariate extremes

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The p-Laplacian problem -del & sdot; ((mu + |del u|(p-2))del u) = f is considered, where mu is a given positive number. An anisotropic a posteriori residual-based error estimator is presented. The error estimator is shown to be equivalent, up to higher ord ...

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An a posteriori error estimator based on an equilibrated flux reconstruction is proposed for defeaturing problems in the context of finite element discretizations. Defeaturing consists in the simplification of a geometry by removing features that are consi ...

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Activity-based models offer the potential of a far deeper understanding of daily mobility behaviour than trip-based models. However, activity-based models used both in research and practice have often relied on applying sequential choice models between sub ...

Likelihood estimators for multivariate extremes

Chattez avec Graph Search

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Stability: a search for structure

Anisotropic Adaptive Finite Elements for a p-Laplacian Problem

Graph generative deep learning models with an application to circuit topologies

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Spectral Estimators for High-Dimensional Matrix Inference

A Method of Moments Estimator for Interacting Particle Systems and their Mean Field Limit

Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons

OASIS: An integrated optimisation framework for activity scheduling

Teacher-Mediated and Student-Led Interaction with a Physics Simulation: Effects on the Learning Experience

Collimation simulations for the FCC-ee

Comparing various AI approaches to traditional quantitative assessment of the myocardial perfusion in [82Rb] PET for MACE prediction

TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression

Reliable data-driven decision-making through optimal transport

Beyond the average consumer: Mapping the potential of demand-side management among patterns of appliance usage

Towards a multiscale point cloud structural similarity metric

An equilibrated flux a posteriori error estimator for defeaturing problems

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

OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions