4 citations · 11 across the 6 of their papers we have counts for
7 papers
Energy Trees: Regression and Classification With Structured and Mixed-Type Covariates
Riccardo Giubilei, Tullia Padellini, Pierpaolo Brutti
The increasing complexity of data requires methods and models that can effectively handle intricate structures, as simplifying them would result in loss of information. While sever…
Joint Quantile Disease Mapping with Application to Malaria and G6PD Deficiency
Hanan Alahmadi, Håvard Rue, Janet van Niekerk
Statistical analysis based on quantile regression methods is more comprehensive, flexible, and less sensitive to outliers when compared to mean regression methods. When the link be…
A Bayesian hierarchical small-area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennial Census data
Emily N Peterson, Rachel C Nethery, Tullia Padellini +6
Small area estimates of population are necessary for many epidemiological studies, yet their quality and accuracy are often not assessed. In the United States, small area estimates…
Interoperability of statistical models in pandemic preparedness: principles and reality
George Nicholson, Marta Blangiardo, Mark Briers +12
We present "interoperability" as a guiding framework for statistical modelling to assist policy makers asking multiple questions using diverse datasets in the face of an evolving p…
Model-aware Quantile Regression for Discrete Data
Tullia Padellini, Haavard Rue
Quantile regression relates the quantile of the response to a linear predictor. For a discrete response distributions, like the Poission, Binomial and the negative Binomial, this a…
Supervised Learning with Indefinite Topological Kernels
Tullia Padellini, Pierpaolo Brutti
Topological Data Analysis (TDA) is a recent and growing branch of statistics devoted to the study of the shape of the data. In this work we investigate the predictive power of TDA…
Persistence Flamelets: multiscale Persistent Homology for kernel density exploration
Tullia Padellini, Pierpaolo Brutti
In recent years there has been noticeable interest in the study of the "shape of data". Among the many ways a "shape" could be defined, topology is the most general one, as it desc…