Claudio Agostinelli

Orcid: 0000-0001-6702-4312

According to our database1, Claudio Agostinelli authored at least 17 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Finite Mixtures of Multivariate Wrapped Normal Distributions for Model Based Clustering of <i>p</i> -Torus Data.
J. Comput. Graph. Stat., 2023

Temporally-Evolving Generalised Networks and their Reproducing Kernels.
CoRR, 2023

2021
Estimation of parameters in multivariate wrapped models for data on a p -torus.
Comput. Stat., 2021

2020
Weighted likelihood mixture modeling and model-based clustering.
Stat. Comput., 2020

Network depth: identifying median and contours in complex networks.
J. Complex Networks, 2020

2019
Initial robust estimation in generalized linear models.
Comput. Stat. Data Anal., 2019

2018
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.
Stat. Methods Appl., 2018

Local half-region depth for functional data.
J. Multivar. Anal., 2018

Phylogenetic convolutional neural networks in metagenomics.
BMC Bioinform., 2018

2017
Robust estimators of accelerated failure time regression with generalized log-gamma errors.
Comput. Stat. Data Anal., 2017

2016
Robust Inference in Generalized Linear Models.
Commun. Stat. Simul. Comput., 2016

2014
Robust Estimators of the Generalized Log-Gamma Distribution.
Technometrics, 2014

2013
Ordering Curves by Data Depth.
Proceedings of the Statistical Models for Data Analysis, 2013

A weighted strategy to handle likelihood uncertainty in Bayesian inference.
Comput. Stat., 2013

2010
Robust Model Selection with LARS Based on S-estimators.
Proceedings of the 19th International Conference on Computational Statistics, 2010

2007
Robust estimation for circular data.
Comput. Stat. Data Anal., 2007

2005
Hierarchical Clustering by Means of Model Grouping.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005


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