Approximate regnerative-block bootstrap for Markov chains : some simulation studies

von Bertail, Patrice
Veröffentlicht 2006

Regeneration-based statistics for Harris recurrent Markov chains

von Bertail, Patrice
Veröffentlicht 2005

Edgeworth expansions of suitably normalized sample mean statistics for atomic Markov chains

von Bertail, Patrice
Veröffentlicht 2003

Regenerative block-bootstrap for Markov chains

von Bertail, Patrice
Veröffentlicht 2004

On Tree-Based Methods for Similarity Learning

von Clémençon, Stephan
Veröffentlicht in LOD (5. : 2019 : Siena) Machine learning, optimization, and data science (2019)

On portfolio selection under extreme risk measure : the heavy-tailed ICA model

von Clémençon, Stéphan
Veröffentlicht in International journal of theoretical and applied finance (2007)

Note on the regeneration-based bootstrap for atomic Markov chains

von Bertail, Patrice
Veröffentlicht 2003

Percolation-Based Detection of Anomalous Subgraphs in Complex Networks

von Larroche, Corentin
Veröffentlicht in IDA (18. : 2020 : Online) Advances in intelligent data analysis XVIII (2020)

A storage model with random release rate for modelling exposure to food contaminants

von Bertail, Patrice
Veröffentlicht 2006

GENERALIZATION BOUNDS IN THE PRESENCE OF OUTLIERS: A MEDIAN-OF-MEANS STUDY

von LAFORGUE, PIERRE
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 8 of 16 (2022)

LEARNING FROM BIASED DATA: A SEMI-PARAMETRIC APPROACH

von BERTAIL, PATRICE
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 2 of 16 (2022)

What are the best Systems? New Perspectives on NLP Benchmarking

von Colombo, Pierre
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 35 of 50 (2023)