A Dirichlet process model for change‐point detection with multivariate bioclimatic data-Reference-Cited by-同舟云学术

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A Dirichlet process model for change‐point detection with multivariate bioclimatic data

Published:2021-09-07 Issue:1 Volume:33 Page:
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Mastrantonio Gianluca¹^ORCID,Jona Lasinio Giovanna²,Pollice Alessio³,Teodonio Lorenzo⁴,Capotorti Giulia⁵

Affiliation:

1. Department of Mathematical Sciences Politecnico di Torino Turin Italy

2. Department of Statistical Sciences Sapienza Università di Roma Rome Italy

3. Department of Economics and Finance Università di Bari Aldo Moro Bari Italy

4. Department of Environmental Biology Sapienza Università di Roma Rome Italy

5. ICRCPAL, Ministry of Cultural Heritage and Activities and Tourism Rome Italy

Publisher

Wiley

Subject

Ecological Modeling,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2699

Reference53 articles.

1. Abrupt Climate Change

2. Delineation of ecosystem regions

3. Identifying Ecoregion Boundaries

4. Parsimonious periodic autoregressive models for time series with evolving trend and seasonality

5. Change-point analysis as a tool to detect abrupt climate variations

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Statistical evaluation of a long‐memory process using the generalized entropic value‐at‐risk;Environmetrics;2023-12-25

2. A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields;Environmetrics;2023-08

3. Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data;Expert Systems with Applications;2022-12

4. The Modelling of Movement of Multiple Animals that Share Behavioural Features;Journal of the Royal Statistical Society Series C: Applied Statistics;2022-04-13

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