Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Matrice de précision"'
Autor:
Boukehil, Djamila
In this thesis, we consider the problem of estimating the precision matrix \Sigma^{-1} of a mixture of Wishart distributions model S \mid V \sim \mathcal{W}_p(n,V \,\Sigma) under various Efron-Morris type losses, L_{k} \{ \Sigma^{-1},\hat\Sigma^{-1}\
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::af08e22544b8f75c80870708bf7cb6c9
https://theses.hal.science/tel-03658435
https://theses.hal.science/tel-03658435
Publikováno v:
SFdS-52 Journées de Statistique de la Société Francaise de Statistique
SFdS-52 Journées de Statistique de la Société Francaise de Statistique, Jun 2021, Nice, France. pp.1-6
SFdS-52 Journées de Statistique de la Société Francaise de Statistique, Jun 2021, Nice, France. pp.1-6
National audience; We study the problem of inferring the conditional independence structure between the entries of a Gaussian random vector. Our focus is on finding groups of independent variables. This can be translated into the estimation of a prec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f2a79784453ed547edc692a9f146c9b1
https://hal.inria.fr/hal-03275245/document
https://hal.inria.fr/hal-03275245/document
Publikováno v:
Journées de statistique 2019
Journées de statistique 2019, Jun 2019, Nancy, France
Journées de statistique 2019, Jun 2019, Nancy, France
We are interested in inferring the structure of conditional dependencies in the case of Gaussian data zero-inflated by double truncation. We have a Gaussian p-vector X observed through the truncated vector $Y := X_1 a≤X≤b$. The objective is to fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b609e4099a330040fb4e1f20ff7e4ed7
https://hal.science/hal-02335105/document
https://hal.science/hal-02335105/document
Autor:
Zheng, Chaowen1 (AUTHOR), Huang, Jingfang2 (AUTHOR), Wood, Ian A.3 (AUTHOR), Wu, Yichao4 (AUTHOR) yichaowu@uic.edu
Publikováno v:
Canadian Journal of Statistics. Jun2022, Vol. 50 Issue 2, p612-637. 26p.
Autor:
Balmand, Samuel
Sous l'hypothèse gaussienne, la relation entre indépendance conditionnelle et parcimonie permet de justifier la construction d'estimateurs de l'inverse de la matrice de covariance -- également appelée matrice de précision -- à partir d'approche
Externí odkaz:
http://www.theses.fr/2016PESC1024/document
Autor:
Balmand, Samuel
Publikováno v:
General Mathematics [math.GM]. Université Paris-Est, 2016. English. ⟨NNT : 2016PESC1024⟩
Under the Gaussian assumption, the relationship between conditional independence and sparsity allows to justify the construction of estimators of the inverse of the covariance matrix -- also called precision matrix -- from regularized approaches. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b041bb6726f112fd6ff6c0a8079e15b7
https://theses.hal.science/tel-01501678
https://theses.hal.science/tel-01501678
Publikováno v:
Canadian Journal of Statistics. Jun2018, Vol. 46 Issue 2, p265-278. 14p.
Publikováno v:
Canadian Journal of Statistics. Mar2018, Vol. 46 Issue 1, p176-203. 28p.
Publikováno v:
Canadian Journal of Statistics. Sep2021, Vol. 49 Issue 3, p906-938. 33p.
Autor:
Zhao, Yanyan1 (AUTHOR), Sun, Lei1,2 (AUTHOR) sun@utstat.toronto.edu
Publikováno v:
Canadian Journal of Statistics. Sep2021, Vol. 49 Issue 3, p754-770. 17p.