Results 21 to 30 of about 635,362 (294)
Canadian Journal of Remote Sensing, 2022 Methodologies were developed to classify wetlands (Open Bog, Treed Bog, Open Fen, Treed Fen, and Swamps) from remotely sensed data using advanced classification algorithms through two hierarchical approaches.
Aaron Judah, Baoxin Hu
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An empirical Bayes approach to stochastic blockmodels and graphons: shrinkage estimation and model selection [PDF]
PeerJ Computer Science, 2022 The graphon (W-graph), including the stochastic block model as a special case, has been widely used in modeling and analyzing network data. Estimation of the graphon function has gained a lot of recent research interests.
Zhanhao Peng, Qing Zhou
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Portfolio optimisation using constrained hierarchical bayes models
Statistical Theory and Related Fields, 2017 It is well known that traditional mean-variance optimal portfolio delivers rather erratic and unsatisfactory out-of-sample performance due to the neglect of estimation errors.
Jiangyong Yin, Xinyi Xu
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Between-groups within-gene heterogeneity of residual variances in microarray gene expression data
BMC Genomics, 2008 Background The analysis of microarray gene expression data typically tries to identify differential gene expression patterns in terms of differences of the mathematical expectation between groups of arrays (e.g.
Varona Luis, Casellas Joaquim
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A Bayesian Alternative to Mutual Information for the Hierarchical Clustering of Dependent Random Variables. [PDF]
PLoS ONE, 2015 The use of mutual information as a similarity measure in agglomerative hierarchical clustering (AHC) raises an important issue: some correction needs to be applied for the dimensionality of variables.
Guillaume Marrelec +2 more
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Cross-categorical study on the impact of COVID-19 on consumer responses to price promotion
Cogent Business & ManagementThis study examines changes in consumer responses to price promotions during the COVID-19 pandemic. We measure the effect of two promotional tools (discounts and double reward points) on sales before and after the pandemic outbreak, while accounting for ...
Yuki Doman +3 more
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BMC Bioinformatics, 2006 Background Uncertainty often affects molecular biology experiments and data for different reasons. Heterogeneity of gene or protein expression within the same tumor tissue is an example of biological uncertainty which should be taken into account when ...
Piergiorgi Paolo +4 more
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Spatial hierarchical Bayes Small Area Model for disaggregated level crop acreage estimation
The Indian Journal of Agricultural Sciences, 2020 Crop area statistics in most of the states in India are provided based on complete enumeration or census approach. But, shortage of man power, failure of the primary and revenue staffs to devote adequate time and attention in collection and compilation ...
PRIYANKA ANJOY +2 more
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Mathematics, 2022 The ability to track the changes of the surrounding environment is critical for humans and animals to adapt their behaviors. In high-dimensional environments, the interactions between each dimension need to be estimated for better perception and decision
Changbo Zhu +5 more
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Generalizing Variational Autoencoders with Hierarchical Empirical Bayes
CoRR, 2020 Variational Autoencoders (VAEs) have experienced recent success as data-generating models by using simple architectures that do not require significant fine-tuning of hyperparameters. However, VAEs are known to suffer from over-regularization which can lead to failure to escape local maxima.
Wei Cheng +3 more
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