Publications

Publication in the Daubé a journal with very high impact factor!

[belledonne]. Pictures may be found [here]

Editorial achievements

1. Co-editor with Adeline Samson (Grenoble, France) for the conference proceedings Journées MAS 2016 de la SMAI – Phénomènes complexes et hétérogènes. ESAIM Proceedings, volume 60, 275 pages, 2017. [ESAIM Proceedings].

Submitted papers

1. J Chevallier, JF Coeurjolly, R. Waagepetersen.  Critical point processes obtained from a Gaussian random field wth a view toward statistics. Submitted, 2025 [arxiv] 

2. I Thorsgaard Jensen, JF Coeurjolly and R Waagepetersen. Semi-parametric Markov models for multi-type point patterns. Submitted, 2025 [arxiv] 

3. J. Combes, JF Coeurjolly, A. Dervillé. When imbalance comes twice : active learningunder simulated class imbalance and label shiftin binary semantic segmentation. In preparation, 2025.

4. N. Le Méhauté, JF Coeurjolly, MH Descary. Simulation of warping processes with applications to temperature data. In preparation, 2025.

5. A. Artis, JF Coeurjolly, F. Letué. Marked point processes intensity estimation using sparse group Lasso method applied to  locations of  lucrative and cooperative banks  in mainland France. In preparation, 2025.

6. C. Renaud Chan, JF Coeurjolly. Existence, properties and parametric inference of possibly hyperuniform Gibbsian perturbed lattices. In preparation, 2025.
   
   

Accepted/Published papers

1. J Blanchet, JF Coeurjolly, A Pellerin. Exploring first and second-order spatio-temporal structures of  lightning strike impacts in the French Alps  using subsampling, to appear in Journal of the Royal Statistical Socitey:  Series C, 2025. [arxiv] 

2. JF Coeurjolly, I Ba and A Choiruddin. Regularization techniques for (spatial) point processes intensity and conditional intensity estimation, ESAIM Proceedings, 80:2-16, 2025. [arxiv] [esaim] 

3. JF Coeurjolly, T Espinasse, AL Fougères and M Ribatet. Spatio-temporal point process intensity estimation using zero-deflated subsampling applied to lightning strikes data in France, Electronic Journal of Statistics, 18(2):5370-5404, 2024. [arxiv] [ejs] 

4. S Achard, JF Coeurjolly, P Lafaye de Micheaux, H Lbath and J Ricciardi. Inter-regional correlation estimators for functional magnetic resonance imaging, Neuroimage, 15:1-17, 2023. [arxiv]

5. I Ba, JF Coeurjolly and F Cuevas-Pacheco. Pairwise interaction estimation of stationary Gibbs point processes using basis expansion, Annals of Statistics, 51(3):1134-1158, 2023 (with Supplementary Material). [arxiv] 

6. I Ba and JF Coeurjolly. Inference for low and high dimensional inhomogeneous Gibbs point processes, Scandinavian Journal of Statistics, 50(3):993-1021, 2023. [arxiv] 

7. A Choiruddin, JF Coeurjolly and F Letué. Dantzig selector and adaptive Lasso methods for spatial point processes intensity estimation with a diverging number of parameters, Bernoulli, 29(3):1849–1876, 2023. [arxiv] [pdf] 

8. F Cuevas-Pacheco, JF Coeurjolly, MH Descary. Fast estimation of a convolution type model for the intensity of spatial point processes, Spatial Statistics, 51:100651, 2022 [arxiv] 

9. JF Coeurjolly, A Mazoyer and PO Amblard. Monte-Carlo integration of  non-differentiable functions on [0,1]^i, i=1,...,d, using a single determinantal point process on [0,1]^d, Electronic Journal of Statistics, 15 (2), 6228-6280, 2021. [hal] [arxiv] Codes available on Adrien's github 

10. A Choiruddin, JF Coeurjolly and R Waagepetersen. Information critera for inhomogeneous spatial point processes, Australian and New Zealand Journal of Statistics, 63(1):119-143, 2021. [arxiv]

11. JF Coeurjolly. Digit analysis for Covid-19 reported data, Case Studies In Business, Industry and Government Statistics, 8:14-27, 2021.[pdf]  [arxiv]. Updated data analysis (June 2 2020) is  available here [html] based on the Rcode and Rmarkdown files  available as the following [zip] file. Québec Science talks about this research;  UQAM has advertised this research [here]

12. A Mazoyer and JF Coeurjolly and PO Amblard. Projections of determinantal point processes, Spatial Statistics, 38:1-20, 2020. [arxiv] [pdf]

13. JF Coeurjolly and J Rousseau-Trépanier. The median of a jittered Poisson distribution,  Metrika, 83(7):837-851, 2020 . [arxiv] [pdf]

14. A Choiruddin, F Cuevas-Pacheco, JF Coeurjolly and R Waagepetersen. Regularized estimation for highly multivariate log Gaussian Cox processes, Statistics and Computing, 30:649-662, 2020. [arxiv]

15. JF Coeurjolly and F Lavancier. Understanding spatial point patterns through intensities and conditional intensities, Stochastic Geometry, Springer Lecture Notes in Mathematics 2237 (Ed. Coupier), 45-85, 2019.

16. JF Coeurjolly, F Cuevas-Pacheco and R Waagepetersen. Second-order variational type equation for spatial point processes applied to pair correlation function estimation, Spatial Statistics, 30:103-115, 2019. [arxiv] [pdf]

17. JF Coeurjolly and P Bouret, A concentration inequality for inhomogeneous Neymann-Scott point processes, Statistics & Probability Letters, 148:30-34, 2019. [pdf]

18. JF Coeurjolly and F Lavancier Intensity approximation for pairwise interaction Gibbs point processes using determinantal point processes, Electronic Journal of Statistics,  12:3181–3203, 2018. [ejs]

19. A Dervillé, M Clausel and JF Coeurjolly. Atomic force microscopy data enhancement and correction using asymmetric M-estimates, Metrologia, 55(5):637-644, 2018.

20. A Choiruddin, JF Coeurjolly and F Letué. Convex and non-convex regularization methods for spatial point processes intensity estimation, Electronic Journal of Statistics, 12(1):1210-1255, 2018. [arxiv] [ejs]

21. JF Coeurjolly and E Porcu. Fast and exact simulation of complex-valued stationary Gaussian processes through embedding circulant matrix, Journal of Computational and Graphical Statistics, 27(2):278-290, 2018. [arxiv] [demoCFGN.Rmd] [demoCFGN.pdf]

22. JF Coeurjolly and E Porcu. Properties and Hurst exponent estimation of the circularly-symmetric fractional Brownian motion, Statistics and Probability Letters, 128:21–27, 2017. [pdf]

23. JF Coeurjolly, J Møller, R Waagepetersen. Palm distributions for log Gaussian Cox processes, Scandinavian Journal of Statistics, 44(1):192–203, 2017. [arxiv] [pdf]

24. JF Coeurjolly, J. Møller, R. Waagepetersen. A tutorial on Palm distribution for spatial point processes, International Statistical Review, 85(3):404-420, 2017. [arxiv]

25. JF Coeurjolly and F Lavancier Parametric estimation of pairwise Gibbs point processes with infinite range interaction,  Bernoulli, 23(2):1299-1334, 2017. [arxiv] [pdf].

26. JF Coeurjolly. Median-based estimation of the intensity of a spatial point process, Annals of the Institute of Statistical Mathematics, 69:303-331, 2017.[arxiv] [pdf]

27. JF Coeurjolly, Y Guan, M Khanmohammadi and R Waagepetersen. Towards optimal Takacs-Fiksel estimation, Spatial Statistics, 18:396-411, 2016.[arxiv], [pdf]

28. CAN Biscio and JF Coeurjolly. Standard and robust intensity parameter estimation for stationary determinantal point processes, Spatial Statistics, 18:24-39, 2016. [arxiv], [pdf]

29. M Clausel, JF Coeurjolly and J Lelong. Stein estimation of the intensity of a spatial homogeneous Poisson point process, Annals of Applied Probability, 26(3):1495–1534, 2016. [arxiv],[pdf]

30. J. Boulanger, L. Seifert, J.-F. Coeurjolly and R. Hérault. Automatic sensor-based detection and classification of climbing activities, IEEE Sensors, 16:3, 742–749, 2016.

31. JF Coeurjolly. Almost sure behavior of functionals of stationary Gibbs point processes, Statistics and Probability Letters, 97:241–246, 2015. [pdf]

32. V Dovgalecs, J Boulanger, D Orth, R Hérault, JF Coeurjolly, K Davids and L Seifert. Movement phase detection in climbing, Sports and Technology, Vol. 7(3-4):166–173, 2015.

33. JF Coeurjolly and Y Guan. Covariance of empirical functionals for inhomogeneous spatial point processes when the intensity has a parametric form. Journal of Statistical Planning and Inference, 155:79–92, 2014 [pdf].

34. A Baddeley, JF Coeurjolly, E Rubak and R Waagepetersen. Logistic regression likelihood for spatial point processes. Biometrika , 101(2):377–392, 2014. [pdf]. Supplementary material (proofs and additional tables, 14 pages) [pdf].

35. JF Coeurjolly and J Møller. Variational approach to estimate the intensity of spatial point processes. Bernoulli , 20(3):1097–1125, 2014. [pdf]

36. JF Coeurjolly, S Lee and B Vidakovic. Variance estimation for fractional Brownian motions with fixed Hurst parameters. Communications in Statistics: theory and methods, 43(8):1845–1858 2014.[pdf].

37. JF Coeurjolly and E Rubak. Fast covariance estimation for innovations computed from a spatial Gibbs point process. Scandinavian Journal of Statistics, 40(4):669–684, 2013.[Research report CSGB]

38. L. Seifert, J.-F. Coeurjolly, R. Hérault, L. Wattebled and K. Davids. Temporal dynamics of inter-limb coordination in ice climbing revealed through change-point analysis of the geodesic mean of circular data. Journal of Applied Statistics, 40(11) 2317–2331, 2013. [pdf]

39. JF Coeurjolly, PO Amblard and S Achard. Wavelet analysis of the multivariate fractional Brownian motion. ESAIM Probability and Statistics,17, 592–604, 2013.[arxiv]

40. JF Coeurjolly and N Morsli. Poisson intensity parameter for stationary Gibbs point processes of finite interaction range. Spatial Statistics, 4, 45–56, 2013. [pdf]

41. JF Coeurjolly and F Lavancier. Residuals and goodness-of-fit tests for stationary marked Gibbs point processes, Journal of the Royal Statistical Society, Series B, 75(2), 247–276, 2013.[pdf] Additional technical proofs [pdf]

42. JF Coeurjolly, N Le Bihan. Geodesic Normal distribution on the circle. Metrika, 75(7):977–995, 2012. [pdf]

43. JF Coeurjolly, M Nguile-Makao and JF Timsit, B Liquet. Attributable risk estimation for adjusted disability multi-state models: application to nosocomial infections. Biometrical Journal, 54(5), 600–616, 2012. [pdf]

44. JF Coeurjolly, D Dereudre, R Drouilhet, and F Lavancier. Takacs-Fiksel method for stationary marked Gibbs point processes. Scandinavian Journal of Statistics, 49(3), 416–443, 2012. [arxiv] [pdf]

45. PO Amblard, JF Coeurjolly, F. Lavancier, and A. Philippe. Basic properties of the multivariate fractional Brownian motion. Bulletin de la Société Mathématique de France, Séminaires et Congrés, 28, 65–87 2012. [arxiv] [pdf].

46. JC Breton and JF Coeurjolly. Confidence intervals for the Hurst parameter of a fractional Brownian motion based on concentration inequalities. Statistical Inference for Stochastic Processes (2012) 15, 1–26, 2012.[pdf].

47. JF Coeurjolly and H Kortas. Expectiles for subordinated Gaussian processes with applications. Electronic Journal of Statistics 6, 304–323, 2012.[pdf]

48. PO Amblard and JF Coeurjolly. Identification of the multivariate fractional Brownian motion. IEEE Transactions on Signal Processing 59(11), 5152–5168, 2011. [pdf].

49. JF Coeurjolly and R Drouilhet. Asymptotic properties of the maximum pseudo-likelihood estimator for stationary Gibbs point processes including the Lennard-Jones model. Electronic Journal of Statistics, 4, 677–706, 2010.[pdf]

50. S Achard and JF Coeurjolly. Discrete variations of the fractional Brownian motion in the presence of outliers and an additive noise. Statistics Surveys, 4, 117–147, 2010.[pdf]

51. JF Coeurjolly, R Drouilhet, P Lafaye De Micheaux and JF Robineau. asympTest: A simple R package for classical parametric statistical tests and confidence intervals in large samples. The R Journal, 1 (2), 26–30, 2009.[pdf]

52. JF Coeurjolly. Bahadur representation of sample quantiles for functional of Gaussian dependent sequences under a minimal assumption. Statistics and Probability Letters, 78 (15), 2485–2489, 2008. [pdf]

53. J.-F. Coeurjolly. Hurst exponent estimation of locally self-similar Gaussian processes using sample quantiles. Annals of Statistics, 36 (3), 1404–1434, 2008. [pdf]

54. JM Billiot, JF Coeurjolly and R Drouilhet. Maximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes. Electronic Journal of Statistics, 2, 243–264, 2008. [pdf]

55. JF Coeurjolly, R Drouilhet and JF Robineau. Normalized information-based divergences. Problems of Information Transmission, 43 (3), 167–189, 2007. [pdf]

56. JF Coeurjolly. Identification of the multifractional Brownian motion. Bernoulli, 11 (6), 987–1008, 2005. [pdf] Erratum [pdf]

57. JF Coeurjolly and J Istas. Cramèr-Rao bounds for fractional Brownian motions. Statistics and Probability Letters, 53 (4), 435–447, 2001. [pdf]

58. JF Coeurjolly. Estimating the parameters of a fractional Brownian motion by discrete variations of its sample paths. Statistical Inference for Stochastic Processes, 4 (2), 199–227, 2001. [pdf]

59. JF Coeurjolly. Simulation and identification of the fractional Brownian motion: a bibliographical and comparative study. Journal of Statistical Software, 5 (7), 1–53, 2000.[pdf]

Proceedings in international conferences

1. PO Amblard and JF Coeurjolly. Sous-échantillonnage aléatoire par processus déterminantaux pour l'estimation. 26ème Gretsi, Juan-Les-Pins, France (2017).

2. PO Amblard and JF Coeurjolly. Identification du mouvement Brownien fractionnaire multivarié. Gretsi, Bordeaux (2011).

3. S Achard, JF Coeurjolly, R Marcillaud and J Richiardi. fMRI connectivity measures based on resampling. IEEE Workshop on Statistical Signal Processing. (2011)

4. JF Coeurjolly, PO Amblard and S Achard S. On multivariate fractional Brownian motion and multivariate fractional Gaussian noise. In European Signal Processing Conference, EUSIPCO 2010. Aalborg, Danemark. 2010.

5. S Achard, S Kremer, JF Coeurjolly, M Schenk, F Renard, C Ong-Nicolas and C Delon-Martin C. Global functional disconnections and long-memory alterations in consciousness disorder patients. In 16th Annual Meeting of the Organization for Human Brain Mapping, OHBM 2010. Madrid, Espagne, juin 2010. pages . 2010.

6. T Hurtut, PE Landes, J Thollot, Y Gousseau, R Drouilhet and JF Coeurjolly. Appearance-guided Synthesis of Element Arrangements by Example. In Spencer S. .N., Gooch B., Isenberg T. et Kaplan C. .S. editors, 7th International Symposium on Non-Photorealistic Animation and Rendering, NPAR 2009. New Orléans, Etats-Unis, 2009. pages 51–60. ACM, 2009.

Thesis

1. Sur quelques résultats d'inférence pour les processus fractionnaires et les processus ponctuels de Gibbs, nov. 2010. Univ. Grenoble Alpes, France.  [pdf]

2. Inférence statistique pour les mouvements brownien fractionnaire et multifractionnaire, déc. 2000. Univ.  Joseph Fourier, Grenoble, France. [tel]

National journals

1. C. Kretzschmar, S. Ebermeyer, M. Sevin, P. Grousson, R. Drouilhet and J.-F. Coeurjolly. Enquête panel de suivi des bénéficiaires du dispositif SIFE. Rapport technique, DRTEFP et DR ANPE. 2004. ISBN 2-11-09783-7.

2. C. Kretzschmar, S. Ebermeyer, M. Sevin, P. Grousson, R. Drouilhet and J.-F. Coeurjolly. Enquête panel de suivi des bénéficiaires du dispositif TRACE. Rapport technique, DRTEFP et DR ANPE. 2004. ISBN 2-11-09782-5.

3. C. Kretzschmar, S. Ebermeyer, M. Sevin, P. Grousson, R. Drouilhet and J.-F. Coeurjolly. Enquête panel de suivi des bénéficiaires du dispositif CES. Rapport technique, DRTEFP et DR ANPE. 2004. ISBN 2-11-09782-9.