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BARS (DiMatteo, Genovese, and Kass 2001) uses the powerful reversible-jump MCMC engine to perform spline-based generalized nonparametric regression. It has been shown to work well in terms of having s…
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Testing model prediction accuracy and cross validation.
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## Template for bug reports
* JASP version:
* OS name and version:
* Analysis:
* Steps to reproduce:
## Template for enhancement requests
* Enhancement:
* Purpose:
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**Summary:**
The paper by Justin Klip and Dhruv Gupta analyzes polling trends for Kamala Harris and Joe Biden during the 2024 U.S. Presidential Election using both linear and Bayesian logistic regres…
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Currently the classification and regression algorithms in the `neighbors` module use a flat prior. They should be modified to compute a prior based on training data, and to optionally accept a user-d…
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Hello Rockstars,
I am trying to develop a hierarchical bayesian regression model across separate cities by following the below article :
[(https://towardsdatascience.com/bayesian-hierarchical-ma…
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The Hunter & Schmidt meta-analysis has incorporated analysis of subsets of data but not the Bayesian meta-analysis. Could someone please add that capability? For instance, operational, financial and m…
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https://ieeexplore.ieee.org/document/7350497
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Enhancement: Allow categorical predictors in Bayesian linear regression
Purpose: To be able to use categorical predictor variables in the BMA implementation.
Many thanks!
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Looking at the tutorials, the ordering looks a bit random. Perhaps we should reorder the tutorials, roughly in order from least to most advanced, to make it easier to understand them? I'd suggest some…