Zobrazeno 1 - 10
of 1 696
pro vyhledávání: '"Jeffrey's prior"'
Neural networks have been shown to have a remarkable ability to uncover low dimensional structure in data: the space of possible reconstructed images form a reduced model manifold in image space. We explore this idea directly by analyzing the manifol
Externí odkaz:
http://arxiv.org/abs/1705.10589
Autor:
BANERJEE, PROLOY1 proloy.stat@gmail.com, BHUNIA, SHREYA1 shreyabhunia.stat@gmail.com
Publikováno v:
Reliability: Theory & Applications. Dec2022, Vol. 17 Issue 4, p218-231. 14p.
Autor:
Dey, Sanku1 sankudey2k2003@yahoo.co.in, Maiti, Sudhansu S.2
Publikováno v:
Electronic Journal of Applied Statistical Analysis. 2012, Vol. 5 Issue 1, p44-59. 16p.
Autor:
Zul Amry
Publikováno v:
SCIREA Journal of Mathematics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34372135f7acf0257669f92493522f43
https://doi.org/10.54647/mathematics11287
https://doi.org/10.54647/mathematics11287
Autor:
Hahn, Jinyong1 hahn@econ.ucla.edu
Publikováno v:
Economics Letters. Jan2004, Vol. 82 Issue 1, p135. 4p.
Publikováno v:
Jurnal Lebesgue, Vol 4, Iss 2, Pp 1191-1201 (2023)
The purposes of this study are to estimate the scale parameter of invers Rayleigh distribution under MLE, Bayesian Generalized square error loss function (SELF), and Bayesian LINEX loss function . The posterior distribution is considered to use two t
Externí odkaz:
https://doaj.org/article/8d71ee252eb04746922865adc665c530
This paper employs the Jeffrey's prior technique in the process of estimating the periodograms and frequency of sinusoidal model for unknown noisy time variants or oscillating events (data) in a Bayesian setting. The non-informative Jeffrey's prior w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5242d0bcfd5bc288c4989e9ccbf1c004
Autor:
Adam Baharum, Zul Amry
Publikováno v:
Mathematics and Statistics. 3:65-70
The main purpose of this study is to find the Bayesian forecast of ARMA model under Jeffrey's prior assumption with quadratic loss function. The point forecast model is to obtained based on the mean of the marginal conditional posterior predictive in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d67b248ed5e6ab22ae2b4b8194bf1ad
https://doi.org/10.13189/ms.2015.030303
https://doi.org/10.13189/ms.2015.030303
Akademický článek
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Autor:
Kalanka P. Jayalath
Publikováno v:
Mathematics, Vol 12, Iss 6, p 874 (2024)
This work focuses on making Bayesian inferences for the two-parameter Birnbaum–Saunders (BS) distribution in the presence of right-censored data. A flexible Gibbs sampler is employed to handle the censored BS data in this Bayesian work that relies
Externí odkaz:
https://doaj.org/article/ef34ed1fc84747ec819ee2014b377e77