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 Blanchet, JF Coeurjolly, A Pellerin. Exploring first and second-order spatio-temporal structures of  lightning strike impacts in the French Alps  using subsampling, submitted, 2024. [arxiv] 

2. 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, submitted, 2024. [arxiv] 

Accepted/Published papers

1. JF Coeurjolly, I Ba and A Choiruddin. Regularization techniques for (spatial) point processes intensity and conditional intensity estimation, to appear in ESAIM Proceedings, 2024. [arxiv] 

2. 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]

3. 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] 

4. 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] 

5. 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] 

6. 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] 

7. 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 

8. 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]

9. 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]

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

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

12. 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]

13. 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.

14. 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]

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

16. 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]

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

18. 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]

19. 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]

20. 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]

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

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

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

24. 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]

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

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

27. 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]

28. 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.

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

30. 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.

31. 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].

32. 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].

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

34. 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].

35. 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]

36. 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]

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

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

39. 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]

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

41. 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]

42. 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]

43. 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].

44. 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].

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

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

47. 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]

48. 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]

49. 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]

50. 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]

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

52. 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]

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

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

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

56. 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]

57. 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.