Results 11 to 20 of about 1,707,051 (309)
Reference priors for non-Normal two-sample problems [PDF]
Test, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fernández, C., Steel, M.F.J.
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Reference priors for the general location-scale modelm [PDF]
Statistics & Probability Letters, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fernández, C., Steel, M.F.J.
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Bayesian Testing of a Point Null Hypothesis Based on the Latent Information Prior
Entropy, 2013 Bayesian testing of a point null hypothesis is considered. The null hypothesisis that an observation, x, is distributed according to the normal distribution with a mean ofzero and known variance q2.
Fumiyasu Komaki
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Multi-Reference Shape Priors for Active Contours [PDF]
International Journal of Computer Vision, 2008 In this paper, we present a new way of constraining the evolution of an active contour with respect to a set of fixed reference shapes. This approach is based on a description of shapes by the Legendre moments computed from their characteristic function. This provides a region-based representation that can handle arbitrary shape topologies.
Foulonneau, Alban +2 more
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Bayesian analysis of series system with dependent causes of failure
Statistical Theory and Related Fields, 2017 Most studies of series system assume the causes of failure are independent, which may not hold in practice. In this paper, dependent causes of failure are considered by using a Marshall–Olkin bivariate Weibull distribution.
Ancha Xu, Shirong Zhou
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Browsing while reading: effects of instructional design and learners' prior knowledge [PDF]
, 2006 One of the key reasons that multimedia, and particularly hypertext systems, are gaining in importance is that they inspire hopes of optimizing learners' processes of knowledge construction.
Müller‐Kalthoff, Thiemo +1 more
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The Cosine Error: A Bayesian Procedure for Treating a Non-repetitive Systematic Effect
Measurement Science Review, 2016 An inconsistency with respect to variable transformations in our previous treatment of the cosine error example with repositioning (Metrologia, vol. 47, pp. R1–R14) is pointed out.
Lira Ignacio, Grientschnig Dieter
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Sensors, 2020 Deep learning has proven itself to be able to reduce the scanning time of Magnetic Resonance Imaging (MRI) and to improve the image reconstruction quality since it was introduced into Compressed Sensing MRI (CS-MRI).
Di Zhao, Feng Zhao, Yongjin Gan
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Statistical Theory and Related Fields, 2018 The Wiener process as a degradation model plays an important role in the degradation analysis. In this paper, we propose an objective Bayesian analysis for an acceleration degradation Wiener model which is subjected to measurement errors.
Daojiang He, Yunpeng Wang, Mingxiang Cao
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Genome Biology, 2023 Spatial omics technologies can help identify spatially organized biological processes, but existing computational approaches often overlook structural dependencies in the data.
Jiayu Su +10 more
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