Zobrazeno 31 - 40
of 576
pro vyhledávání: '"Marchand, Eric"'
Autor:
Marchand, Eric
Il y a aujourd'hui, d'après l'UNECE1 environ 770.000 robots opérationnels dont 24.000 en France. À ce jour, la plupart de ces robots sont des manipulateurs industriels dont l'autonomie est souvent réduite au stricte minimum. Ce manque d'autonomie
Externí odkaz:
http://tel.archives-ouvertes.fr/tel-00755302
http://tel.archives-ouvertes.fr/docs/00/75/53/02/PDF/2004_hdr_marchand.pdf
http://tel.archives-ouvertes.fr/docs/00/75/53/02/PDF/2004_hdr_marchand.pdf
Our investigation concerns the estimation of predictive densities and a study of efficiency as measured by the frequentist risk of such predictive densities with integrated $L_2$ and $L_1$ losses. Our findings relate to a $p-$variate spherically symm
Externí odkaz:
http://arxiv.org/abs/1408.5297
Publikováno v:
Bernoulli, 2018 Nov 01. 23(4B), 3197-3212.
Externí odkaz:
https://www.jstor.org/stable/26491756
Publikováno v:
In Journal of Multivariate Analysis September 2019 173:18-25
We consider the problem of estimating a continuous distribution function $F$, as well as meaningful functions $\tau(F)$ under a large class of loss functions. We obtain best invariant estimators and establish their minimaxity for H\"{o}lder continuou
Externí odkaz:
http://arxiv.org/abs/1308.1815
Autor:
Jones, M.C., Marchand, Éric
Publikováno v:
In Journal of Multivariate Analysis May 2019 171:83-93
For estimating a lower bounded parametric function in the framework of Marchand and Strawderman (2006), we provide through a unified approach a class of Bayesian confidence intervals with credibility $1-\alpha$ and frequentist coverage probability bo
Externí odkaz:
http://arxiv.org/abs/1208.0028
For normal canonical models, and more generally a vast array of general spherically symmetric location-scale models with a residual vector, we consider estimating the (univariate) location parameter when it is lower bounded. We provide conditions for
Externí odkaz:
http://arxiv.org/abs/1207.5097
Publikováno v:
Bernoulli 2012, Vol. 18, No. 2, 635-643
We provide a development that unifies, simplifies and extends considerably a number of minimax results in the restricted parameter space literature. Various applications follow, such as that of estimating location or scale parameters under a lower (o
Externí odkaz:
http://arxiv.org/abs/1205.1964
Autor:
Kortbi, Othmane, Marchand, Éric
For normal canonical models with $X \sim N_p(\theta, \sigma^{2} I_{p}), \;\; S^{2} \sim \sigma^{2}\chi^{2}_{k}, \;{independent}$, we consider the problem of estimating $\theta$ under scale invariant squared error loss $\frac{\|d-\theta \|^{2}}{\sigma
Externí odkaz:
http://arxiv.org/abs/1204.6054