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researcher

J. Rousseau

56 papers hereh-index 335.7k citations147 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3
  • first author5
  • middle author13
  • last author35

Across the 56 of 56 papers where every author was matched, so the position is known.

fields
  • math.ST33
  • stat.ME12
  • stat.ML7
  • stat.AP2
  • cs.LG1
  • stat.CO1
same name
  • J. Rousseau — 22 papers, h 25
  • J. Rousseau — 5 papers, h 28
  • J. Rousseau — 3 papers, h 8
  • J. Rousseau — 1 paper, h 19
  • J. Rousseau — 1 paper, h 2
  • J. Rousseau — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20072023
most citedHarold Jeffreys's Theory of Probability Revisited

100 citations · 718 across the 51 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

math.ST2021

Wasserstein convergence in Bayesian deconvolution models

Judith Rousseau, Catia Scricciolo

We study the reknown deconvolution problem of recovering a distribution function from independent replicates (signal) additively contaminated with random errors (noise), whose dist…

math.ST2021★ 2 cited

Asymptotic Analysis of Statistical Estimators related to MultiGraphex Processes under Misspecification

Zacharie Naulet, Judith Rousseau, François Caron

This article studies the asymptotic properties of Bayesian or frequentist estimators of a vector of parameters related to structural properties of sequences of graphs. The estimato…

math.ST2021★ 1 cited

Ideal Bayesian Spatial Adaptation

Veronika Rockova, Judith Rousseau

Many real-life applications involve estimation of curves that exhibit complicated shapes including jumps or varying-frequency oscillations. Practical methods have been devised that…

math.ST2021

Bayesian estimation of nonlinear Hawkes process

Deborah Sulem, Vincent Rivoirard, Judith Rousseau

Multivariate point processes are widely applied to model event-type data such as natural disasters, online message exchanges, financial transactions or neuronal spike trains. One v…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.