REVISTA

Forecasting

ISSN: 2571-9394 Frecuencia: 4 Formato: Electr�nica

Tablas de contenido

13 art�culos asociados

Volumen 6 N�mero 0 Parte 1 A�o 2024

Effective Natural Language Processing Algorithms for Early Alerts of Gout Flares from Chief Complaints	Acceso
Lucas Lopes Oliveira, Xiaorui Jiang, Aryalakshmi Nellippillipathil Babu, Poonam Karajagi and Alireza Daneshkhah

Developing Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System	Acceso
Devon Barrow, Antonija Mitrovic, Jay Holland, Mohammad Ali and Nikolaos Kourentzes

A Composite Tool for Forecasting El Ni�o: The Case of the 2023?2024 Event	Acceso
Costas Varotsos, Nicholas V. Sarlis, Yuri Mazei, Damir Saldaev and Maria Efstathiou

Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions	Acceso
Konstantinos P. Fourkiotis and Athanasios Tsadiras

State-Dependent Model Based on Singular Spectrum Analysis Vector for Modeling Structural Breaks: Forecasting Indonesian Export	Acceso
Yoga Sasmita, Heri Kuswanto and Dedy Dwi Prastyo

Bootstrapping Long-Run Covariance of Stationary Functional Time Series	Acceso
Han Lin Shang

Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study	Acceso
Manuel Zamudio L�pez, Hamidreza Zareipour and Mike Quashie

Data-Driven Models to Forecast the Impact of Temperature Anomalies on Rice Production in Southeast Asia	Acceso
Sabrina De Nardi, Claudio Carnevale, Sara Raccagni and Lucia Sangiorgi

Can Denoising Enhance Prediction Accuracy of Learning Models? A Case of Wavelet Decomposition Approach	Acceso
C. Tamilselvi, Md Yeasin, Ranjit Kumar Paul and Amrit Kumar Paul

Predictive Analytics of Air Temperature in Alaskan Permafrost Terrain Leveraging Two-Level Signal Decomposition and Deep Learning	Acceso
Aymane Ahajjam, Jaakko Putkonen, Emmanuel Chukwuemeka, Robert Chance and Timothy J. Pasch

Bootstrapping State-Space Models: Distribution-Free Estimation in View of Prediction and Forecasting	Acceso
Jos� Francisco Lima, Fernanda Catarina Pereira, Arminda Manuela Gon�alves and Marco Costa

Improvement on Forecasting of Propagation of the COVID-19 Pandemic through Combining Oscillations in ARIMA Models	Acceso
Eunju Hwang

Advancements in Downscaling Global Climate Model Temperature Data in Southeast Asia: A Machine Learning Approach	Acceso
Teerachai Amnuaylojaroen