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Open Access

Correction

Correction: A quantitative analysis of the impact of explicit incorporation of recency, seasonality and model specialization into fine-grained tourism demand prediction models

  • The PLOS ONE Staff

There are errors in the Funding section. The correct Funding statement is: This research is partially funded by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPQ) and Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG). The authors and grant numbers are as following: Amir Khatibi: (CNPq: 169823/2017-2); Ana Paula Couto da Silva and Marcos A. Gonçalves: (FAPEMIG: PPM-00543-17, PPM-00177-18 and APQ-00262-22), (CNPq: 422593/2018-4, 310538/2020-3, 310668/2020-4, 402711/2021-1 and 403184/2021-5); Jussara Almeida: (CNPq: 305683/2019-5 and 403106/2021-4). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

The publisher apologizes for the error.

Reference

  1. 1. Khatibi A, Couto da Silva AP, Almeida JM, Gonçalves MA (2022) A quantitative analysis of the impact of explicit incorporation of recency, seasonality and model specialization into fine-grained tourism demand prediction models. PLoS ONE 17(12): e0278112. https://doi.org/10.1371/journal.pone.0278112 pmid:36480566

Citation: The PLOS ONE Staff (2023) Correction: A quantitative analysis of the impact of explicit incorporation of recency, seasonality and model specialization into fine-grained tourism demand prediction models. PLoS ONE 18(10): e0292825. https://doi.org/10.1371/journal.pone.0292825

Published: October 9, 2023

Copyright: © 2023 The PLOS ONE Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.