5 citations · 7 across the 7 of their papers we have counts for
7 papers
Maximum Agreement Linear Predictors
Taeho Kim, Pierre Chausse, Matteo Bottai +4
This paper studies predictor functions motivated by maximizing a measure of agreement with the predictand. Specifically, it examines distributional properties and predictive perfor…
Concave likelihood-based regression with finite-support response variables
Karl Oskar Ekvall, Matteo Bottai
We propose a unified framework for likelihood-based regression modeling when the response variable has finite support. Our work is motivated by the fact that, in practice, observed…
Modeling sign concordance of quantile regression residuals with multiple outcomes
Silvia Columbu, Paolo Frumento, Matteo Bottai
Quantile regression permits describing how quantiles of a scalar response variable depend on a set of predictors. Because a unique definition of multivariate quantiles is lacking,…
Confidence Regions Near Singular Information and Boundary Points With Applications to Mixed Models
Karl Oskar Ekvall, Matteo Bottai
We propose confidence regions with asymptotically correct uniform coverage probability of parameters whose Fisher information matrix can be singular at important points of the para…
Parametric Modeling of Quantile Regression Coefficient Functions with Longitudinal Data
Paolo Frumento, Matteo Bottai, Iván Fernández-Val
In ordinary quantile regression, quantiles of different order are estimated one at a time. An alternative approach, which is referred to as quantile regression coefficients modelin…
On mean decomposition for summarizing conditional distributions
Celia García-Pareja, Matteo Bottai
We propose a summary measure defined as the expected value of a random variable over disjoint subsets of its support that are specified by a given grid of proportions, and consider…
Mean survival by ordered fractions of population with censored data
Celia García-Pareja, Matteo Bottai
We propose a novel approach for estimating mean survival time in the presence of censored data, in which we divide the population under study into survival-ordered fractions define…