Model selection uncertainty and stability in beta regression models: A study of bootstrap-based model averaging with an empirical application to clickstream data
C Allenbrand, B Sherwood - The Annals of Applied Statistics, 2023 - projecteuclid.org
The Annals of Applied Statistics, 2023•projecteuclid.org
Sections A, B, C, D, E, F, G, H, I, J Section A: beta distribution theory. Section B: beta and
GLM model comparison. Section C: prediction accuracy measures. Section D: importance of
coverage probability. Section E: constant dispersion model simulation settings. Section F:
constant dispersion model coverage probability results. Section G: CRPS, R 2 p, Log S
results for the constant and nonconstant beta regression models. Section H: commentary on
clickstream relationshps. Section I: support for beta distribution model. Section J: model …
GLM model comparison. Section C: prediction accuracy measures. Section D: importance of
coverage probability. Section E: constant dispersion model simulation settings. Section F:
constant dispersion model coverage probability results. Section G: CRPS, R 2 p, Log S
results for the constant and nonconstant beta regression models. Section H: commentary on
clickstream relationshps. Section I: support for beta distribution model. Section J: model …
Sections A, B, C, D, E, F, G, H, I, J Section A: beta distribution theory. Section B: beta and GLM model comparison. Section C: prediction accuracy measures. Section D: importance of coverage probability. Section E: constant dispersion model simulation settings. Section F: constant dispersion model coverage probability results. Section G: , , results for the constant and nonconstant beta regression models. Section H: commentary on clickstream relationshps. Section I: support for beta distribution model. Section J: model selection consistency and variable importance for bounce rate models. Section K: comparisons of alternatives to beta regression model.
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