BAMIFun provides Bayesian multiple imputation for functional data via low-rank penalized spline models, achieving accurate imputation and improved coverage in simulations and real datasets compared to single-imputation FPCA methods.
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Develops tests for no dependence and partial effects in global Fréchet regression using random multipliers for null distributions and the Cauchy combination method, with consistency results and simulations on networks and spheres.
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BAMIFun: Bayesian Multiple Imputation for Functional Data
BAMIFun provides Bayesian multiple imputation for functional data via low-rank penalized spline models, achieving accurate imputation and improved coverage in simulations and real datasets compared to single-imputation FPCA methods.
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Inference for Fr\'echet Regression
Develops tests for no dependence and partial effects in global Fréchet regression using random multipliers for null distributions and the Cauchy combination method, with consistency results and simulations on networks and spheres.