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Weighted likelihood mixture modeling and model-based clustering

Statistics and computing, 2020, Vol.30 (2), p.255-277

2020

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Robust multivariate estimation based on statistical depth filters

Test (Madrid, Spain), 2021-12, Vol.30 (4), p.935-959

2021

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Weighted likelihood latent class linear regression

Statistical methods & applications, 2021-06, Vol.30 (2), p.711-746

2021

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Robust estimation for multivariate wrapped models

Metron (Rome), 2021-08, Vol.79 (2), p.225-240

2021

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Robust estimation of fixed effect parameters and variances of linear mixed models: the minimum density power divergence approach

Advances in statistical analysis : AStA : a journal of the German Statistical Society, 2024-03, Vol.108 (1), p.127-157

2024

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Robust estimation in single-index models when the errors have a unimodal density with unknown nuisance parameter

Annals of the Institute of Statistical Mathematics, 2020-06, Vol.72 (3), p.855-893

2020

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Robust Fitting of a Wrapped Normal Model to Multivariate Circular Data and Outlier Detection

Stats (Basel, Switzerland), 2021-06, Vol.4 (2), p.454-471

2021

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A weighted strategy to handle likelihood uncertainty in Bayesian inference

Computational statistics, 2013-02, Vol.28 (1), p.319-339

2013

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Local half-region depth for functional data

Journal of multivariate analysis, 2018-01, Vol.163, p.67-79

Agostinelli, Claudio

2018

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Robust Estimation of the Generalized Loggamma Model: The R Package robustloggamma

Journal of statistical software, 2016-05, Vol.70 (7), p.1-21

2016

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Recent Advances in Robust Statistics: Theory and Applications

2016

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Robust iteratively reweighted SIMPLS

Journal of chemometrics, 2017-03, Vol.31 (3), p.np-n/a

2017

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Weighted likelihood estimation of multivariate location and scatter

Test (Madrid, Spain), 2019-09, Vol.28 (3), p.756-784

2019

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Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini

Statistical methods & applications, 2018-12, Vol.27 (4), p.609-619

2018

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Robust Inference in Generalized Linear Models

Communications in statistics. Simulation and computation, 2016-10, Vol.45 (9), p.3053-3073

2016

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Weighted likelihood methods for robust fitting of wrapped models for p-torus data

Advances in statistical analysis : AStA : a journal of the German Statistical Society, 2024-03

2024

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Network depth: identifying median and contours in complex networks

Journal of complex networks, 2020-08, Vol.8 (4)

2020

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Finite Mixtures of Multivariate Wrapped Normal Distributions for Model Based Clustering of p-Torus Data

Journal of computational and graphical statistics, 2023-07, Vol.32 (3), p.1215-1228

2023

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Local depth

Journal of statistical planning and inference, 2011-02, Vol.141 (2), p.817-830

2011

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Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination

Test (Madrid, Spain), 2015-09, Vol.24 (3), p.441-461

2015

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Analytical and statistical properties of local depth functions motivated by clustering applications

Electronic journal of statistics, 2023-01, Vol.17 (1)

2023

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Composite Robust Estimators for Linear Mixed Models

Journal of the American Statistical Association, 2016-12, Vol.111 (516), p.1764-1774

2016

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Weighted cross validation in model selection

Wiley interdisciplinary reviews. Computational statistics, 2018-11, Vol.10 (6), p.e1439-n/a

2018

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Bias bound for the minimax estimator

Journal of statistical planning and inference, 2009-07, Vol.139 (7), p.2235-2241

Agostinelli, Claudio

2009

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Notes on Pearson residuals and weighted likelihood estimating equations

Statistics & probability letters, 2006-11, Vol.76 (17), p.1930-1934

Agostinelli, Claudio

2006

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Weighted likelihood mixture modeling and model-based clustering

Robust multivariate estimation based on statistical depth filters

Weighted likelihood latent class linear regression

Robust estimation for multivariate wrapped models

Robust estimation of fixed effect parameters and variances of linear mixed models: the minimum density power divergence approach

Robust estimation in single-index models when the errors have a unimodal density with unknown nuisance parameter

Robust Fitting of a Wrapped Normal Model to Multivariate Circular Data and Outlier Detection

A weighted strategy to handle likelihood uncertainty in Bayesian inference

Local half-region depth for functional data

Robust Estimation of the Generalized Loggamma Model: The R Package robustloggamma

Recent Advances in Robust Statistics: Theory and Applications

Robust iteratively reweighted SIMPLS

Weighted likelihood estimation of multivariate location and scatter

Discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” by Andrea Cerioli, Marco Riani, Anthony C. Atkinson and Aldo Corbellini

Robust Inference in Generalized Linear Models

Weighted likelihood methods for robust fitting of wrapped models for p-torus data

Network depth: identifying median and contours in complex networks

Finite Mixtures of Multivariate Wrapped Normal Distributions for Model Based Clustering of p-Torus Data

Local depth

Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination

Analytical and statistical properties of local depth functions motivated by clustering applications

Composite Robust Estimators for Linear Mixed Models

Weighted cross validation in model selection

Bias bound for the minimax estimator

Notes on Pearson residuals and weighted likelihood estimating equations

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