Exploring variable selection in additive mixed effects models using group lasso

Autor: Avalos, Marta, Soret, Perrine, Meza, Cristian, Bertin, Karine, Ren, Hao, Hellard, Philippe

Publikováno v: 23rd Australian Statistical Conference
23rd Australian Statistical Conference, Statistical Society of Australia (SSA), Dec 2016, Canberra, Australia
23rd Australian Statistical Conference, Dec 2016, Canberra, Australia. 〈http://asc2016.com.au/〉

International audience; We consider the problem of estimating a high-dimensional additive mixed model for longitudinal data using sparse methods. In this problem, multiple measurements are made on the same subject across time, and then the different

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::815549fd0f552b6f933461d4dc7e59eb
https://hal.inria.fr/hal-01396767

A comparison of unsupervised curve classification methods for sport training data

Autor: Lefort, Gaëlle, Avalos, Marta, Soret, Perrine, David, Pyne, Toussaint, Jean-François, Hellard, Philippe

Publikováno v: 3rd conference of the International Society for Non-Parametric Statistics (ISNPS)
3rd conference of the International Society for Non-Parametric Statistics (ISNPS), The International Society for NonParametric Statistics (ISNPS), Jun 2016, Avignon, France
3rd conference of the International Society for Non-Parametric Statistics (ISNPS), Jun 2016, Avignon, France. 2016, 〈http://www.isnpstat.org/〉

International audience; Achieving peak performance at a specified time is the primary goal of athletes’ training programs. To optimize performance and reduce the risk of injury, a comprehensive list of training program parameters (e.g. intensity, v

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3dd79adc4959f19e17419513593fed37
https://hal.inria.fr/hal-01396366