Aggregated kernel based tests for signal detection in a regression model

Autor: Bui, Thi Thien Trang

Considering a regression model, we address the question of testing the nullity of the regression function. The testing procedure is available when the variance of the observations is unknown and does not depend on any prior information on the alterna

Externí odkaz: http://arxiv.org/abs/1904.02965

Regression model for high-dimensional non-euclidean data. Application to the classification of taxa in the computational anatomy

Autor: Bui, Thi Thien Trang

Publikováno v: Mathématiques générales [math.GM]. INSA de Toulouse, 2019. Français. ⟨NNT : 2019ISAT0021⟩

In this thesis, we study a regression model with distribution entries and the testing hypothesis problem for signal detection in a regression model. We aim to apply these models in hearing sensitivity measured by the transient evoked otoacoustic emis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::11e26137305f831db88e814122f59eb1
https://theses.hal.science/tel-02497588/document

Distribution regression model with a Reproducing Kernel Hilbert Space approach

Autor: Patricia Balaresque, Bui Thi Thien Trang, Laurent Risser, Jean-Michel Loubes

Publikováno v: Canadian Journal of Statistics
Canadian Journal of Statistics, Wiley, 2018
Communications in Statistics-Theory and Methods
Communications in Statistics-Theory and Methods, 2019, pp.1-23. ⟨10.1080/03610926.2019.1658782⟩
Communications in Statistics-Theory and Methods, Taylor & Francis, 2019, pp.1-23. ⟨10.1080/03610926.2019.1658782⟩
Canadian Journal of Statistics, 2018

In this paper, we introduce a new distribution regression model for probability distributions. This model is based on a Reproducing Kernel Hilbert Space (RKHS) regression framework, where universal kernels are built using Wasserstein distances for di

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09fb8e84c85ddf84d1eb553a402f8667
https://hal.archives-ouvertes.fr/hal-01824022/file/DistributionRegressionModelwithRKHSapproach.pdf