Nicolas Privault
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Research Interests
Nicolas Privault has a total of 102 co-authors. Here are the top co-authors by number of shared publications:
- Dusit Niyato
Nanyang technological university, Singapore, Singapore
14 shared publications Uwe Franz
Université de Franche-Comté
14 shared publicationsIan Flint
Nanyang Technological University
11 shared publications- Guillaume Penent
Division of Mathematical Sciences School of Physical and Mathematical Sciences Nanyang Technological University 21 Nanyang Link 637371 Singapore
9 shared publications Ping Wang
9 shared publications- Ian Flint
School of Agriculture, Food and Ecosystem Sciences The University of Melbourne Parkville Victoria Australia
8 shared publications
Latest Publications
- 1 May 2026
- Published by Springer Nature
- p. 1-42
Probability Background
- 1 May 2026
- Published by Springer Nature
- p. 75-99
Random Walks
- 1 May 2026
- Published by Springer Nature
- p. 177-193
Classification of States
- 1 May 2026
- Published by Springer Nature
- p. 301-326
Discrete-Time Martingales
- 1 May 2026
- Published by Springer Nature
- p. 43-73
Gambling Problems
- 1 May 2026
- Published by Springer Nature
- p. 195-228
Long-Run Behavior of Markov Chains
- 31 December 2025
- Published by Elsevier in Communications in Nonlinear Science and Numerical Simulation
- Vol. 156
Binary Galton–Watson trees with mutations
- 31 December 2025
- Published by Elsevier in Communications in Nonlinear Science and Numerical Simulation
- Vol. 156
Binary Galton–Watson trees with mutations
- Open Access
Mixing rates for linear operators under infinitely divisible measures on Banach spaces
We derive rates of convergence for the mixing of operators under infinitely divisible measures in the framework of linear dynamics on Banach spaces. Our approach is based on the characterization of mixing in terms of codifference functionals and control measures, and extends previous results obtained in the Gaussian setting via the use of covariance operators. Explicit mixing rates are obtained for weighted shifts under compound Poisson, α-stable, and tempered α-stable measures.
Open AccessMixing rates for linear operators under infinitely divisible measures on Banach spaces
We derive rates of convergence for the mixing of operators under infinitely divisible measures in the framework of linear dynamics on Banach spaces. Our approach is based on the characterization of mixing in terms of codifference functionals and control measures, and extends previous results obtained in the Gaussian setting via the use of covariance operators. Explicit mixing rates are obtained for weighted shifts under compound Poisson, α-stable, and tempered α-stable measures.
- 7 November 2025
- Published by Elsevier in Stochastic Processes and their Applications
- Vol. 192
Gaussian fluctuations of generalized U -statistics and subgraph counting in the binomial random-connection model
- 7 November 2025
- Published by Elsevier in Stochastic Processes and their Applications
- Vol. 192
Gaussian fluctuations of generalized U -statistics and subgraph counting in the binomial random-connection model