Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Nogales, A. G."'
Autor:
Nogales, Agustin G.
Strong consistency of the Bayes estimator of a regression curve for the $L^1$-squared loss function is proved. It is also shown the convergence to 0 of the Bayes risk of this estimator both for the $L^1$ and $L^1$-squared loss functions. The Bayes es
Externí odkaz:
http://arxiv.org/abs/2207.09573
Autor:
Nogales, Agustin G.
In a Bayesian framework we prove that the optimal estimator of a conditional density is consistent.
Comment: 13 pages
Comment: 13 pages
Externí odkaz:
http://arxiv.org/abs/2206.12379
Autor:
Nogales, A. G.
In this paper several related estimation problems are addressed from a Bayesian point of view and optimal estimators are obtained for each of them when some natural loss functions are considered. Namely, we are interested in estimating a regression c
Externí odkaz:
http://arxiv.org/abs/2110.13427
Autor:
Nogales, A. G.
Under mild conditions, it is shown the strong consistency of the Bayes estimator of the density. Moreover, the Bayes risk (for some common loss functions) of the Bayes estimator of the density (i.e. the posterior predictive density) reaches zero when
Externí odkaz:
http://arxiv.org/abs/2110.13081
Autor:
Nogales, A. G.
Optimality results for two outstanding Bayesian estimation problems are given in this paper: the estimation of the sampling distribution for the squared total variation function and the estimation of the density for the $L^1$-squared loss function. T
Externí odkaz:
http://arxiv.org/abs/2008.00683
Autor:
Nogales, A. G.
Publikováno v:
Statistics & Probability Letters, 178, 2021
A known property of conditional expectation is extended to the framework of Markov kernels. Its meaning in terms of densities is provided. Some examples located in the field of clinical diagnosis are presented to delimit the main result of the paper.
Externí odkaz:
http://arxiv.org/abs/2006.03328
Autor:
Villarreal-Salazar, M., Santalla, A., Real-Martínez, A., Nogales-Gadea, G., Valenzuela, P.L., Fiuza-Luces, C., Andreu, A.L., Rodríguez-Aguilera, J.C., Martín, M.A., Arenas, J., Vissing, J., Lucia, A., Krag, T.O., Pinós, T.
Publikováno v:
In Molecular Metabolism December 2022 66
Autor:
Nogales, A. G., Pérez, P.
Publikováno v:
Statistica Neerlandica 2019
Two known results on the relationship between conditional and unconditional independence are obtained as a consequence of the main result of this paper, a theorem that uses independence of Markov kernels to obtain a minimal condition which added to c
Externí odkaz:
http://arxiv.org/abs/1706.03955
Publikováno v:
ALEA 2015
This work addresses the problem of estimating the parameters of the general half-normal distribution. Namely, the problem of determining the minimum risk equi\-va\-riant (MRE) estimators of the parameters is explored. Simulation studies are realized
Externí odkaz:
http://arxiv.org/abs/1504.01061
Autor:
Nardello, Laura C.L., Amado, Pamela P.P., Franco, Diego C., Cazares, Roberto X.R., Nogales, Carlos G., Mayer, Márcia P.A., Karygianni, Lamprini, Thurnheer, Thomas, Pinheiro, Ericka T.
Publikováno v:
In Journal of Endodontics August 2020 46(8):1105-1112