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Parametric estimates for the receiver operating characteristic curve generalization for non-monotone relationships
(SAGE Publications Ltd, 2019)
Estimation of the functional form of subgrid-scale parametrizations using ensemble-based data assimilation : a simplemodel experiment
(Royal Meteorological Society, 2016)
Oceanic and atmospheric global numerical models represent explicitly the large-scale dynamics while the smaller-scale processes are not resolved, so that their effects in the large-scale dynamics are included through ...
A family of non-parametric density estimation algorithms
(Wiley, 2013-02)
A new methodology for density estimation is proposed. The method- ology, which builds on the one developed in [15], normalizes the data points through the composition of simple maps. The parameters of each map are determined ...
Mean estimation with data missing at random for functional covariables
(Taylor & Francis, 2013-08)
In a missing-data setting, we want to estimate the mean of a scalar outcome, based on a sample in which an explanatory variable is observed for every subject while responses are missing by happenstance for some of them. ...
A Bayesian approach to hybrid splines non-parametric regression
(Taylor & Francis LtdAbingdonInglaterra, 2002)
Identification and estimation of preference distributions when voters are ideological
(Oxford Univ Press, 2017-07)
This article studies the non-parametric identification and estimation of voters' preferences when voters are ideological. We establish that voter preference distributions and other parameters of interest can be identified ...
Estimation of the functional form of subgrid-scale schemes using ensemble-based data assimilation: a simple model experiment
(Wiley, 2016-10-02)
Oceanic and atmospheric global numerical models represent explicitly the large‐scale dynamics while the smaller‐scale processes are not resolved, so that their effects in the large‐scale dynamics are included through ...
Robust estimation in partially linear regression models with monotonicity constraints
(Taylor & Francis, 2019-11)
Partially linear models are important tools in statistical modelling, combining the flexibility of non–parametric models and the simple interpretation of linear models. Monotonicity constraints appear naturally in certain ...
Parametric and non-parametric species delimitation methods result in the recognition of two new Neotropical woody bamboo species
(Molecular Phylogenetics and Evolution, 2015)