Related references
Note: Only part of the references are listed.Comparison of ARIMA, ETS, NNAR, TBATS and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy
Gaetano Perone
EUROPEAN JOURNAL OF HEALTH ECONOMICS (2022)
A novel general-purpose hybrid model for time series forecasting
Yun Yang et al.
APPLIED INTELLIGENCE (2022)
CoQUAD: a COVID-19 question answering dataset system, facilitating research, benchmarking, and practice
Shaina Raza et al.
BMC BIOINFORMATICS (2022)
Infodemiological study on the impact of the COVID-19 pandemic on increased headache incidences at the world level
Cristiana Tudor et al.
SCIENTIFIC REPORTS (2022)
The Impact of the COVID-19 Pandemic on the Global Web and Video Conferencing SaaS Market
Cristiana Tudor
ELECTRONICS (2022)
State-space TBATS model for container freight rate forecasting with improved accuracy
Ziaul Haque Munim
MARITIME TRANSPORT RESEARCH (2022)
Multi-Horizon Forecast Comparison
Rogier Quaedvlieg
JOURNAL OF BUSINESS & ECONOMIC STATISTICS (2021)
Benchmarking GHG Emissions Forecasting Models for Global Climate Policy
Cristiana Tudor et al.
ELECTRONICS (2021)
Time Series Analysis and Forecasting of the Hand-Foot-Mouth Disease Morbidity in China Using An Advanced Exponential Smoothing State Space TBATS Model
Chongchong Yu et al.
INFECTION AND DRUG RESISTANCE (2021)
COVID-19 acceleration in digitalisation, aggregate productivity growth and the functional income distribution
Bjorn Dohring et al.
INTERNATIONAL ECONOMICS AND ECONOMIC POLICY (2021)
A Dynamic Predictor Selection Method Based on Recent Temporal Windows for Time Series Forecasting
Eraylson G. Silva et al.
IEEE ACCESS (2021)
Assessment of lockdown effect in some states and overall India: A predictive mathematical study on COVID-19 outbreak
Tridip Sardar et al.
CHAOS SOLITONS & FRACTALS (2020)
The socio-economic implications of the coronavirus pandemic (COVID-19): A review
Maria Nicola et al.
INTERNATIONAL JOURNAL OF SURGERY (2020)
Impacts of COVID-19 on Trade and Economic Aspects of Food Security: Evidence from 45 Developing Countries
Vasilii Erokhin et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2020)
COVID-19 lockdown and its latency in Northern Italy: seismic evidence and socio-economic interpretation
Davide Piccinini et al.
SCIENTIFIC REPORTS (2020)
Digital transformation: Five recommendations for the digitally conscious firm
Ted Saarikko et al.
BUSINESS HORIZONS (2020)
Digital transformation during a lockdown
Gordon Fletcher et al.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT (2020)
The influence of the COVID-19 pandemic on the digital transformation of work
Lisa Nagel
INTERNATIONAL JOURNAL OF SOCIOLOGY AND SOCIAL POLICY (2020)
DeepAR: Probabilistic forecasting with autoregressive recurrent networks
David Salinas et al.
INTERNATIONAL JOURNAL OF FORECASTING (2020)
Navigating disruptive crises through service-led growth: The impact of COVID-19 on Italian manufacturing firms
Mario Rapaccini et al.
INDUSTRIAL MARKETING MANAGEMENT (2020)
Comparing predictive accuracy in small samples using fixed-smoothing asymptotics
Laura Coroneo et al.
JOURNAL OF APPLIED ECONOMETRICS (2020)
Daily retail demand forecasting using machine learning with emphasis on calendric special days
Jakob Huber et al.
INTERNATIONAL JOURNAL OF FORECASTING (2020)
Architecture of Next-Generation E-Commerce Platform
Yadong Huang et al.
TSINGHUA SCIENCE AND TECHNOLOGY (2019)
Forecasting tourism demand with denoised neural networks
Emmanuel Sirimal Silva et al.
ANNALS OF TOURISM RESEARCH (2019)
Next-Day Bitcoin Price Forecast
Ziaul Haque Munim et al.
JOURNAL OF RISK AND FINANCIAL MANAGEMENT (2019)
POINTS OF SIGNIFICANCE Statistics versus machine learning
Danilo Bzdok et al.
NATURE METHODS (2018)
Exploring the use of deep neural networks for sales forecasting in fashion retail
A. L. D. Loureiro et al.
DECISION SUPPORT SYSTEMS (2018)
COMPARATIVE STUDY ON RETAIL SALES FORECASTING BETWEEN SINGLE AND COMBINATION METHODS
Serkan Aras et al.
JOURNAL OF BUSINESS ECONOMICS AND MANAGEMENT (2017)
An application of support vector machines to sales forecasting under promotions
G. Di Pillo et al.
4OR-A QUARTERLY JOURNAL OF OPERATIONS RESEARCH (2016)
Forecasting of global horizontal irradiance by exponential smoothing, using decompositions
Dazhi Yang et al.
ENERGY (2015)
Forecasting aggregate retail sales: The case of South Africa
Goodness C. Aye et al.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2015)
Comparing Predictive Accuracy, Twenty Years Later: A Personal Perspective on the Use and Abuse of Diebold-Mariano Tests
Francis X. Diebold
JOURNAL OF BUSINESS & ECONOMIC STATISTICS (2015)
A new approach to testing forecast predictive accuracy
Eric Gilleland et al.
METEOROLOGICAL APPLICATIONS (2015)
Performance of state space and ARIMA models for consumer retail sales forecasting
Patricia Ramos et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2015)
A survey on retail sales forecasting and prediction in fashion markets
Samaneh Beheshti-Kashi et al.
SYSTEMS SCIENCE & CONTROL ENGINEERING (2015)
An ARIMA-ANN Hybrid Model for Time Series Forecasting
Li Wang et al.
SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE (2013)
Housing Starts Forecast of Retail Sales through the 2007-2009 Recession
Anthony Joseph et al.
COMPLEX ADAPTIVE SYSTEMS 2012 (2012)
Prediction of traffic-related nitrogen oxides concentrations using Structural Time-Series models
Anneka Ruth Lawson et al.
ATMOSPHERIC ENVIRONMENT (2011)
Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing
Alysha M. De Livera et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2011)
Comparing Spatial Predictions
Amanda S. Hering et al.
TECHNOMETRICS (2011)
Sales forecasts in clothing industry: The key success factor of the supply chain management
Sebastien Thomassey
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2010)
A hybrid intelligent model for medium-term sales forecasting in fashion retail supply chains using extreme learning machine and harmony search algorithm
W. K. Wong et al.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2010)
Sales forecasting using extreme learning machine with applications in fashion retailing
Zhan-Li Sun et al.
DECISION SUPPORT SYSTEMS (2008)
Fashion retail forecasting by evolutionary neural networks
Kin-Fan Au et al.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2008)
Automatic time series forecasting: The forecast package for R
Rob J. Hyndman et al.
JOURNAL OF STATISTICAL SOFTWARE (2008)
Short-term forecasts of euro area real GDP growth: An assessment of real-time performance based on vintage data
Marie Diron
JOURNAL OF FORECASTING (2008)
Another look at measures of forecast accuracy
Rob J. Hyndman et al.
INTERNATIONAL JOURNAL OF FORECASTING (2006)
Neural network forecasting for seasonal and trend time series
GP Zhang et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2005)
A comparative study of linear and nonlinear models for aggregate retail sales forecasting
CW Chu et al.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2003)
Time series forecasting using a hybrid ARIMA and neural network model
GP Zhang
NEUROCOMPUTING (2003)
A state space framework for automatic forecasting using exponential smoothing methods
RJ Hyndman et al.
INTERNATIONAL JOURNAL OF FORECASTING (2002)
Statistical modeling: The two cultures
L Breiman
STATISTICAL SCIENCE (2001)
Share Paper
