Publications associées à Test du rapport de vraisemblance

Boosting likelihood learning with event reweighting

Andrea Wulzer, Alfredo Glioti, Siyu Chen

Extracting maximal information from experimental data requires access to the likelihood function, which however is never directly available for complex experiments like those performed at high energy colliders. Theoretical predictions are obtained in this ...

Springer2024

Transportation-based functional ANOVA and PCA for covariance operators

Victor Panaretos, Yoav Zemel, Valentina Masarotto

We consider the problem of comparing several samples of stochastic processes with respect to their second-order structure, and describing the main modes of variation in this second order structure, if present. These tasks can be seen as an Analysis of Vari ...

Inst Mathematical Statistics-Ims2024

Near Collision Attack Against Grain V1

Daniel Patrick Collins, Subhadeep Banik, Willi Meier

A near collision attack against the Grain v1 stream cipher was proposed by Zhang et al. in Eurocrypt 18. The attack uses the fact that two internal states of the stream cipher with very low hamming distance between them, produce similar keystream sequences ...

2023

Inferring free-energy barriers and kinetic rates from molecular dynamics via underdamped Langevin models

Sara Bonella, Fabio Pietrucci, David Daniel Girardier

Rare events include many of the most interesting transformation processes in condensed matter, from phase transitions to biomolecular conformational changes to chemical reactions. Access to the corresponding mechanisms, free-energy landscapes and kinetic r ...

Melville2023

A note on universal inference

Anthony Christopher Davison, Timmy Rong Tian Tse

Universal inference enables the construction of confidence intervals and tests without regularity conditions by splitting the data into two parts and appealing to Markov's inequality. Previous investigations have shown that the cost of this generality is a ...

WILEY2022

Probabilistic fatigue model for composites based on the statistical characteristics of the cycles to failure

Anastasios Vassilopoulos, Guangjian Xiang

A probabilistic model for estimating the fatigue life of composite laminates based on the mean value and standard deviation of the fatigue life is introduced here for predicting the distribution of fatigue life at any stress level for a constant stress rat ...

ELSEVIER SCI LTD2022

Improved Inference On Risk Measures For Univariate Extremes

Anthony Christopher Davison

We discuss the use of likelihood asymptotics for inference on risk measures in univariate extreme value problems, focusing on estimation of high quantiles and similar summaries of risk for uncertainty quantification. We study whether higher-order approxima ...

INST MATHEMATICAL STATISTICS-IMS2022

VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation

Alexandre Massoud Alahi, Megh Hiren Shukla

Advances in computing have enabled widespread access to pose estimation, creating new sources of data streams. Unlike mock set-ups for data collection, tapping into these data streams through on-device active learning allows us to directly sample from the ...

BMVA Press2022

Lightweight HI source finding for next generation radio surveys

Jean-Paul Richard Kneib, Frédéric Courbin, Aymeric Alexandre Galan, Austin Chandler Peel, Emma Elizabeth Tolley, Mark Thomas Sargent

Future deep HI surveys will be essential for understanding the nature of galaxies and the content of the Universe. However, the large volume of these data will require distributed and automated processing techniques. We introduce LiSA, a set of python modu ...

ELSEVIER2022

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Test du rapport de vraisemblance

Boosting likelihood learning with event reweighting

Transportation-based functional ANOVA and PCA for covariance operators

Deciphering the nature of cell state transitions in single cells using quantitative modeling of temporal dynamics

Near Collision Attack Against Grain V1

Inferring free-energy barriers and kinetic rates from molecular dynamics via underdamped Langevin models

A note on universal inference

Probabilistic fatigue model for composites based on the statistical characteristics of the cycles to failure

Improved Inference On Risk Measures For Univariate Extremes

VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation

Lightweight HI source finding for next generation radio surveys

Graph Chatbot

Chattez avec Graph Search

Deciphering the nature of cell state transitions in single cells using quantitative modeling of temporal dynamics

Inferring free-energy barriers and kinetic rates from molecular dynamics via underdamped Langevin models

Probabilistic fatigue model for composites based on the statistical characteristics of the cycles to failure

Transportation-based functional ANOVA and PCA for covariance operators

Near Collision Attack Against Grain V1

VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation

Improved Inference On Risk Measures For Univariate Extremes

A note on universal inference

Boosting likelihood learning with event reweighting

Lightweight HI source finding for next generation radio surveys