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Forecasting Brazilian Railway Freight Volume: An Unobserved Components Model Application

https://doi.org/10.2139/ssrn.4194311

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/for.3980090203openalex-extracted

Estimation procedures for structural time series models

inferredcites →https://doi.org/10.1016/j.ejor.2003.08.037openalex-extracted

Neural network forecasting for seasonal and trend time series

inferredcites →https://doi.org/10.1017/cbo9781107049994openalex-extracted

Forecasting, Structural Time Series Models and the Kalman Filter

inferredcites →https://doi.org/10.1061/(asce)0733-947x(2003)129:6(664)openalex-extracted

Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results

inferredcites →https://doi.org/10.1061/9780784481523.043openalex-extracted

Research on Railway Freight Volume Prediction Based on ARIMA Model

inferredcites →https://doi.org/10.1061/jtepbs.0000281openalex-extracted

Unobserved Component Model for Predicting Monthly Traffic Volume

inferredcites →https://doi.org/10.18637/jss.v027.i03openalex-extracted

Automatic Time Series Forecasting: The forecast Package for R

inferredcites →https://doi.org/10.2139/ssrn.1496864openalex-extracted

Structural Time Series Models and the Kalman Filter: A Concise Review

inferredcites →https://doi.org/10.2307/1267710openalex-extracted

Time Series Analysis: Forecasting and Control

inferredcites →https://doi.org/10.3103/s027864191804009xopenalex-extracted

Selecting the Superpositioning of Models for Railway Freight Forecasting

inferredcites →https://doi.org/10.32614/cran.package.forecastopenalex-extracted

forecast: Forecasting Functions for Time Series and Linear Models

inferredcites →https://doi.org/10.4018/978-1-5225-0084-1.ch005openalex-extracted

Railway Demand Forecasting

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.