Results 261 to 270 of about 7,662,414 (297)

Bayesian nonparametric hierarchical modeling

Biometrical Journal, 2009
AbstractIn biomedical research, hierarchical models are very widely used to accommodate dependence in multivariate and longitudinal data and for borrowing of information across data from different sources. A primary concern in hierarchical modeling is sensitivity to parametric assumptions, such as linearity and normality of the random effects ...
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A Hierarchical Bayesian Choice Model with Visibility

2014 22nd International Conference on Pattern Recognition, 2014
We extend the standard choice model of multinomial logit model (MLM) into a hierarchical Bayesian model to simultaneously estimate the preferences of customers and the visibility of items from purchasing history. We say that an item has high visibility when customers well consider that item as a candidate before making a choice.
Takayuki Osogami, Takayuki Katsuki
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A Bayesian Hierarchical Model for Speech Enhancement

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
This paper addresses the problem of blind adaptive beamforming using a hierarchical Bayesian model. Our probabilistic approach relies on a Gaussian prior for the speech signal and a Gamma hyperprior for the speech precision, combined with a multichannel linear-Gaussian state-space model for the possibly time-varying acoustic channel.
Yaron Laufer, Sharon Gannot
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A Bayesian Hierarchical Model for the Evaluation of a Website

Journal of Applied Statistics, 2004
Consider a website and the surfers visiting its pages. A typical issue of interest, for example while monitoring an advertising campaign, concerns whether a specific page has been designed successfully, i.e. is able to attract surfers or address them to other pages within the site.
L. DI SCALA, LA ROCCA, Luca, G. CONSONNI
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AUC Maximization in Bayesian Hierarchical Models

2016
The area under the curve (AUC) measures such as the area under the receiver operating characteristics curve (AUROC) and the area under the precision-recall curve (AUPR) are known to be more appropriate than the error rate, especially, for imbalanced data sets.
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Bayesian hierarchical modelling for process optimisation

International Journal of Production Research, 2020
Many industrial process optimisation methods rely on empirical models that relate output responses to a set of design variables.
Linhan Ouyang, Chanseok Park, Yan Ma, Yizhong Ma, Min Wang 0004   +4 more
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Learning overhypotheses with hierarchical Bayesian models

Developmental Science, 2007
Abstract Inductive learning is impossible without overhypotheses, or constraints on the hypotheses considered by the learner. Some of these overhypotheses must be innate, but we suggest that hierarchical Bayesian models can help to explain how the rest are acquired. To illustrate this claim, we develop models that
Kemp, C., Perfors, A., Tenenbaum, J.
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Bayesian Hierarchical Pointing Models

Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, 2022
Hang Zhao 0005, Sophia Gu, Chun Yu, Xiaojun Bi 0001   +3 more
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Hierarchical Bayesian models of cognitive development

Biological Cybernetics, 2016
This article provides an introductory overview of the state of research on Hierarchical Bayesian Modeling in cognitive development. First, a brief historical summary and a definition of hierarchies in Bayesian modeling are given. Subsequently, some model structures are described based on four examples in the literature.
Thomas Glassen, Verena Nitsch
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A hierarchical Bayesian model for pattern recognition

The 2012 International Joint Conference on Neural Networks (IJCNN), 2012
The success of automated classification hinges on the choice of the representation of the data. Much research has focused on feature extraction techniques that can identify highly informative representations of a dataset. In this paper, we adapt for the purposes of classification a hierarchical Bayesian model developed by Karklin and Lewicki to model ...
Ashwini Shikaripur Nadig, Brian Potetz
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