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bioRxiv · 10.1101/102244

A New Hyperprior Distribution for Bayesian Regression Model with Application in Genomics

Rodrigues Silva, R.
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Abstract

In the regression analysis, there are situations where the model have more predictor variables than observations of dependent variable, resulting in the problem known as \"large p small n\". In the last fifteen years, this problem has been received a lot of attention, specially in the genome-wide context. Here we purposed the bayes H model, a bayesian regression model using mixture of two scaled inverse chi square as hyperprior distribution of variance for each regression coefficient. This model is implemented in the R package BayesH.

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Rodrigues Silva, R.. 2017-01-22. A New Hyperprior Distribution for Bayesian Regression Model with Application in Genomics. https://doi.org/10.1101/102244

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