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Conjugate priors for Gaussian emission plsa recommender systems
2016 24th European Signal Processing Conference (EUSIPCO), 2016Collaborative filtering for recommender systems seeks to learn and predict user preferences for a collection of items by identifying similarities between users on the basis of their past interest or interaction with the items in question. In this work, we present a conjugate prior regularized extension of Hofmann's Gaussian emission probabilistic ...
Stefan Adalbjornsson +4 more
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Bayesian Variance-Stabilizing Kernel Density Estimation Using Conjugate Prior
Journal of Mathematical Sciences, 2019It is noticed that kernel-type density or regression estimator does not produce a constant estimator variance over the domain. Several authors proposed new methods to correct this problem. A variance-stabilizing (VS) local variable bandwidth for kernel estimators are used by the author and \textit{Y. Kanazawa} [Bull. Inf. Cybern.
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Pseudo-conjugated prior distribution for parametric ALT model
2011 Proceedings - Annual Reliability and Maintainability Symposium, 2011Common problems of high reliability computing are, on on e hand, the magnitude of total testing time required, particularly in the case of high reliability components and, on the other hand, the number of devices under test. In both cases, the objective is to minimize the costs involved in testing without reducing the quality of the data obtained.
Sorin Voiculescu, Fabrice Guerin
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CONJUGATE PRIORS FOR GENERALIZED LINEAR MODELS
2003We propose a novel class of conjugate priors for the family of generalized linear models. Properties of the priors are investigated in detail and elicitation issues are examined. We establish theorems characterizing the propriety and exis-tence of moments of the priors under various settings, examine asymptotic proper-ties of the priors, and ...
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Tumor detection using Bayesian conjugate prior in diffuse optical tomography
2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006Diffuse optical tomography (DOT) is an emerging non-invasive technique for detecting the presence of a tumor or other anomalies from a scattered photon field. In this paper, we derive an alternating projection algorithm to reconstruct the spatially varying absorption coefficient of human brain tissue to detect the presence of tumor.
Heeralal, Choudhary, Arye, Nehorai
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An Elicitation Procedure Using Piecewise Conjugate Priors
1992Although computationally convenient, conjugate priors can represent only a rather limited set of prior beliefs. By considering piecewise conjugate priors one can represent a much larger class of prior beliefs and retain much of the computational simplicity of conjugate priors.
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Generalized Conjugate Priors for Bayesian Analysis of Risk and Survival Regressions
Biometrics, 2003Summary. Conjugate priors for Bayesian analyses of relative risks can be quite restrictive, because their shape depends on their location. By introducing a separate location parameter, however, these priors generalize to allow modeling of a broad range of prior opinions, while still preserving the computational simplicity of conjugate analyses.
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