Patricia Reynaud-Bouret

Patricia Reynaud-Bouret's AcademicInfluence.com Rankings

Mathematics

#8546

World Rank

#11611

Historical Rank

Probability Theory

#175

World Rank

#205

Historical Rank

Statistics

#1287

World Rank

#1407

Historical Rank

Measure Theory

#5062

World Rank

#5984

Historical Rank

mathematics Degrees

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Mathematics

Patricia Reynaud-Bouret's Degrees

PhD Mathematics Université Paris Cité
Masters Mathematics Université Paris Cité
Bachelors Mathematics Université Paris Cité

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Why Is Patricia Reynaud-Bouret Influential?

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According to Wikipedia, Patricia Reynaud-Bouret is a French statistician who has studied Hawkes processes, density estimation, and concentration inequalities, and applied them in neuroscience, neural connectivity reconstruction, and genomics. She is a director of research for the French National Centre for Scientific Research , affiliated with the J. A. Dieudonné Laboratory of Côte d'Azur University , founder and former director of the university's NeuroMod Institute for Modeling in Neuroscience and Cognition, and a chair holder in the university's Interdisciplinary Institute for Artificial Intelligence .

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Patricia Reynaud-Bouret's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Adaptive estimation for Hawkes processes; application to genome analysis (2009) (208)
Lasso and probabilistic inequalities for multivariate point processes (2012) (172)
Exponential Inequalities, with Constants, for U-statistics of Order Two (2003) (104)
Goodness-of-Fit Tests and Nonparametric Adaptive Estimation for Spike Train Analysis (2014) (103)
Inference of functional connectivity in Neurosciences via Hawkes processes (2013) (97)
Microscopic approach of a time elapsed neural model (2015) (67)
Nonparametric Estimation of the Division Rate of a Size-Structured Population (2011) (66)
Adaptive density estimation: a curse of support? ✩ (2009) (60)
Adaptive estimation of the intensity of inhomogeneous Poisson processes via concentration inequalities (2003) (56)
Near optimal thresholding estimation of a Poisson intensity on the real line (2008) (50)
Penalized projection estimators of the Aalen multiplicative intensity (2006) (43)
Some non asymptotic tail estimates for Hawkes processes (2007) (36)
Kernels Based Tests with Non-asymptotic Bootstrap Approaches for Two-sample Problems (2012) (33)
Optimal Change-Point Detection and Localization (2020) (29)
The two-sample problem for Poisson processes: adaptive tests with a non-asymptotic wild bootstrap approach (2012) (29)
Bootstrap and permutation tests of independence for point processes (2014) (28)
Reconstructing the functional connectivity of multiple spike trains using Hawkes models (2017) (27)
Multiple Tests Based on a Gaussian Approximation of the Unitary Events Method with Delayed Coincidence Count (2012) (26)
A Data-Dependent Weighted LASSO Under Poisson Noise (2015) (22)
Optimal Kernel Selection for Density Estimation (2015) (16)
Compensator and exponential inequalities for some suprema of counting processes (2006) (10)
Spike trains as (in)homogeneous Poisson processes or Hawkes processes: non-parametric adaptive estimation and goodness-of-fit tests (2013) (9)
Adaptive tests of homogeneity for a Poisson process (2009) (8)
Family-Wise Separation Rates for multiple testing (2016) (8)
High Dimensional Probability VII : The Cargèse Volume (2016) (8)
Concentration for Norms of Infinitely Divisible Vectors With Independent Components (2006) (7)
Surrogate Data Methods Based on a Shuffling of the Trials for Synchrony Detection: The Centering Issue (2016) (7)
Sparse space–time models: Concentration inequalities and Lasso (2018) (6)
Event-Scheduling Algorithms with Kalikow Decomposition for Simulating Potentially Infinite Neuronal Networks (2019) (6)
Calibration of thresholding rules for Poisson intensity estimation (2009) (6)
Adaptive thresholding estimation of a Poisson intensity with infinite support (2008) (5)
Goodness-of-Fit Tests and Nonparametric Adaptive Estimation for Spike Train Analysis (2014) (4)
Towards a mathematical definition of functional connectivity (2021) (4)
Exponential Inequalities for U-Statistics of Order Two with Constants (2002) (4)
Continuous testing for Poisson process intensities: a new perspective on scanning statistics (2017) (4)
CONCENTRATION INEQUALITIES, COUNTING PROCESSES AND ADAPTIVE STATISTICS (2014) (3)
Scalability of large neural network simulations via activity tracking with time asynchrony and procedural connectivity (2022) (3)
Concentration for Infinitely Divisible Vectors with Independent Components (2006) (3)
Hold-out strategy for selecting learning models: Application to categorization subjected to presentation orders (2022) (2)
Efficient Simulation of Sparse Graphs of Point Processes (2022) (2)
Exponential Inequalities for Counting Processes (2002) (2)
An order-dependent transfer model in categorization (2022) (2)
Simulation scalability of large brain neuronal networks thanks to time asynchrony (2021) (2)
Discrete event simulation of point processes: A computational complexity analysis on sparse graphs (2020) (1)
Completeness period analysis of SisFrance macroseismic database and interpretation in the light of historical context (2014) (1)
Exponential inequality for chaos based on sampling without replacement (2018) (1)
Kalikow decomposition for counting processes with stochastic intensity and application to simulation algorithms (2021) (1)
A Distribution Free Unitary Events Method based on Delayed Coincidence Count (2015) (1)
Neural Coding as a Statistical Testing Problem (2022) (0)
Provable local learning rule by expert aggregation for a Hawkes network (2023) (0)
Multiple independence tests for point processes by permutation methods : a Unitary Events approach based on delayed coincidence count (2015) (0)
Genomic transcription regulatory element location analysis via poisson weighted lasso (2016) (0)
Sliding Window Strategy for Convolutional Spike Sorting with Lasso (2021) (0)
Estimation of local independence graphs via Hawkes processes to unravel functional neuronal connectivity ∗ (2015) (0)
A concentration inequality for inhomogeneous Neyman–Scott point processes (2019) (0)
Modeling and Computation of a liquid-vapor bubble formation (2019) (0)
Large scale Lasso with windowed active set for convolutional spike sorting (2019) (0)
Editorial for the special issue on Statistics and Neurosciences (2016) (0)
Investigating interactions between types of order in categorization (2022) (0)
atlas project – The team (B1) “from Applications to Theory in Learning and Adaptive Statistics” (2006) (0)

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Patricia Reynaud-Bouret's Academic­Influence.com Rankings

Patricia Reynaud-Bouret's Degrees

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Why Is Patricia Reynaud-Bouret Influential?

Patricia Reynaud-Bouret's Published Works

Published Works

Other Resources About Patricia Reynaud-Bouret

What Schools Are Affiliated With Patricia Reynaud-Bouret?

Patricia Reynaud-Bouret's AcademicInfluence.com Rankings