Model‐based clustering for noisy longitudinal circular data, with application to animal movement-Reference-Cited by-同舟云学术

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Model‐based clustering for noisy longitudinal circular data, with application to animal movement

Published:2019-05-21 Issue:2 Volume:31 Page:
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Ranalli M.¹,Maruotti A.²³^ORCID

Affiliation:

1. Dipartimento di Economia e FinanzaUniversità degli Studi di Roma Tor Vergata Rome Italy

2. Dipartimento di Giurisprudenza, Economia, Politica e Lingue ModerneLibera Università Maria SS. Assunta Rome Italy

3. Department of MathematicsUniversity of Bergen Bergen Norway

Publisher

Wiley

Subject

Ecological Modeling,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2572

Reference55 articles.

1. Procedures for outlier detection in circular time series models

2. Robust estimation for circular data

3. A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains

4. Assessing a mixture model for clustering with the integrated completed likelihood

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1. Weighted likelihood methods for robust fitting of wrapped models for p-torus data;AStA Advances in Statistical Analysis;2024-03-11

2. Finite Mixtures of Multivariate Wrapped Normal Distributions for Model Based Clustering of p-Torus Data;Journal of Computational and Graphical Statistics;2022-10-28

3. Robust Fitting of a Wrapped Normal Model to Multivariate Circular Data and Outlier Detection;Stats;2021-06-01

4. Nonparametric tests for circular regression;Journal of Statistical Computation and Simulation;2020-09-10

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