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07/10/2022
Energy Trees: Regression and Classification With Structured and Mixed-Type Covariates
The continuous growth of data complexity requires methods and models tha...
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12/18/2021
A Bayesian hierarchical small-area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennia
Small area estimates of population are necessary for many epidemiologica...
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09/28/2021
Interoperability of statistical models in pandemic preparedness: principles and reality
We present "interoperability" as a guiding framework for statistical mod...
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04/10/2018
Model-based Quantile Regression for Discrete Data
Quantile regression is a class of methods voted to the modelling of cond...
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09/20/2017
Supervised Learning with Indefinite Topological Kernels
Topological Data Analysis (TDA) is a recent and growing branch of statis...
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09/20/2017
