1. Scientific events in France and abroad

September 2019:
Project-TEMA’s members organised the workshop “Around nonparametric and spatial statistics” that was partially supported by TEMA. Link: https://www-ljk.imag.fr/IPS/Event/event180919.html
November 2019: the following conference held in Tunisia on “Mathematical Statistics and Data Science Days” was partially supported by this project. https://www.statmathtunisia2019.com/

2. International conferences

S. Louhichi gave a talk at “The third international conference on mathematics and statistics”, held in Sharjah (UAE). https://www.aus.edu/conferences/the-third-international-conference-on-mathematics-and-statistics
S. Louhichi gave a course at “Mathematical Statistics and Data Science Days”, held in Hammamet (Tunisia). https://www.statmathtunisia2019.com/
D. Benelmadani gave a talk at “The 9th World on Sampling and Blending”, held in Beijing (China). http://www.wcsb9.com/
D. Girard presented the poster http://hal.archives-ouvertes.fr/hal-02174478v2/document at “Spatial Statistics 2019: towards Spatial Data Sciences”, held in Sitjes (Barcelona). https://www.elsevier.com/events/conferences/spatial-statistics/programme
K. Benhenni attended the conference “32nd European Meeting of Statisticians”, Palermo (Italy). https://www.ems2019.palermo.it

The following posters were presented as part of the TEMA project:

July 2019: R. Drouilhet, D. Girard, Poster given at the conference “Spatial Statistic 2019: Towards Spatial Data Science”, Barcelone (Spain). Title: Efficiently estimating some common geostatistical models from “image-type, possibly incomplete” datasets: CGEMEV and its extension to unknown nugget-effect. http://hal.archives-ouvertes.fr/hal-02174478v2/document
July 2019: K. Benhenni, A.H. Hassen,Y. Su, Poster given at the conference “32nd European Meeting of Statisticians”, Palermo (Italy). Title: “Local polynomial estimation of regression operators from functional data with correlated errors”. https://www.ems2019.palermo.it
June 2019: S. Louhichi, Poster given at the meeting “Data Science for Life Science and Earth, Space and Environmental Science”, Grenoble.

July 2019: R. Drouilhet, D. Girard, The Rpackage CGEMEV was extended to the case of a nugget-effect with unknown variance, https://github.com/didiergirard/CGEMEV/blob/master/README.md

Accepted or published papers:

D. Benelmadani, K. Benhenni, S. Louhichi. Optimal design for the nonparametric regression estimation applied to pharmacokinetics problems. Published in World Conference on Sampling and Blending 9, WCSB9, 2019.
D. Girard. Asymptotic near-efficiency of the “Gibbs-energy (GE) and empirical-variance” estimating functions for fitting Matérn models-II: Accounting for measurement errors via “conditional GE mean”. Stat. Prob. Letters, 2020, pp.1-11, in press. https://www.sciencedirect.com/science/article/abs/pii/S0167715220300298

On-going work:

K. Benhenni, D. Girard, S. Louhichi. On bandwidth selection problems in nonparametric trend estimation under martingale difference errors. 59 pages. https://hal.archives-ouvertes.fr/LJK_PS_IPS/hal-02514827 Submitted.
K. Benhenni, D. Girard, S. Louhichi. Optimal bandwidth criteria for nonparametric trend estimation under stochastic volatility error process. In preparation.
R. Drouilhet, D. Girard. Simple and efficient procedures for fitting isotropic Matérn-covariance models (with trend) to large data sets. In preparation.