Filtering and prediction of noisy and unstable signals: The case of Google Trends data-Reference-Cited by-同舟云学术

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Filtering and prediction of noisy and unstable signals: The case of Google Trends data

Published:2019-10-16 Issue:2 Volume:39 Page:281-295
ISSN:0277-6693
Container-title:Journal of Forecasting
language:en
Short-container-title:Journal of Forecasting

Author:

Fenga Livio¹^ORCID

Affiliation:

1. ISTAT—Italian National Institute of Statistics Rome Italy

Publisher

Wiley

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Computer Science Applications,Modelling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/for.2626

Reference32 articles.

1. Prediction and Entropy

2. A Bayesian Analysis of the Minimum AIC Procedure

Cited by 2 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. Investigating the diffusion of innovation: A comprehensive study of successive diffusion processes through analysis of search trends, patent records, and academic publications;Technological Forecasting and Social Change;2024-01

2. Importance of data preprocessing in time series prediction using SARIMA: A case study;International Journal of Knowledge-based and Intelligent Engineering Systems;2021-01-18

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