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Dive into the research topics where Anne-Françoise Yao Lafourcade is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Kernel density estimation for a stochastic process with values in a Riemannian manifold
Abdillahi Isman, M., Nefzi, W., Mbaye, P., Khardani, S. & Yao, A. F., 1 Jan 2025, In: Journal of Nonparametric Statistics. 37, 2, p. 344-363 20 p.Research output: Contribution to journal › Article › peer-review
Open Access -
On using derivatives and multiple kernel methods for clustering and classifying functional data
Ah-Pine, J. & Yao, A. F., 7 Mar 2025, In: Neurocomputing. 621, 129231.Research output: Contribution to journal › Article › peer-review
Open Access -
Testing the equality of the laws of two strictly stationary processes
Pommeret, D., Reboul, L. & Yao, A. F., 1 Apr 2023, In: Statistical Inference for Stochastic Processes. 26, 1, p. 193-214 22 p.Research output: Contribution to journal › Article › peer-review
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Toward industrial use of continual learning: new metrics proposal for class incremental learning
Konaté, M. A., Yao, A. F., Chateau, T. & Bouges, P., 1 Jan 2023, IJCNN 2023 - International Joint Conference on Neural Networks, Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the International Joint Conference on Neural Networks; vol. 2023-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Mathematical Modeling of the Evolution of Absenteeism in a University Hospital over 12 Years
Vialatte, L., Pereira, B., Guillin, A., Miallaret, S., Baker, J. S., Colin-Chevalier, R., Yao-Lafourcade, A. F., Azzaoui, N., Clinchamps, M., Bouillon-Minois, J. B. & Dutheil, F., 1 Jul 2022, In: International Journal of Environmental Research and Public Health. 19, 14, 8236.Research output: Contribution to journal › Article › peer-review
Open Access -
Nonparametric recursive regression estimation on Riemannian Manifolds
Khardani, S. & Yao, A. F., 1 Mar 2022, In: Statistics and Probability Letters. 182, 109274.Research output: Contribution to journal › Article › peer-review
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Shape-constrained Gaussian process regression for surface reconstruction and multimodal, non-rigid image registration
Deregnaucourt, T., Samir, C., Kurtek, S. & Yao, A. F., 1 Jan 2022, In: Journal of Applied Statistics. 49, 7, p. 1865-1889 25 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Bayesian hierarchical models for disease mapping applied to contagious pathologies
Coly, S., Garrido, M., Abrial, D. & Yao, A. F., 1 Jan 2021, In: PLoS ONE. 16, 1 January, e0222898.Research output: Contribution to journal › Article › peer-review
Open Access -
Nonparametric Statistical Analysis of Spatially Distributed Functional Data
Dabo-Niang, S., Ternynck, C., Thiam, B. & Yao, A. F., 1 Jan 2021, Geostatistical Functional Data Analysis. wiley, p. 175-210 36 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Learning a Gaussian Process Model on the Riemannian Manifold of Non-decreasing Distribution Functions
Samir, C., Loubes, J. M., Yao, A. F. & Bachoc, F., 1 Jan 2019, PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings. Nayak, A. C. & Sharma, A. (eds.). Springer Verlag, p. 107-120 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11671 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access