Forecasting models for the Chinese macroeconomy: the simpler the better?
Sign Up to like & getrecommendations! Published in 2019 at "Empirical Economics"
DOI: 10.1007/s00181-019-01788-0
Abstract: We consider the problem of macroeconomic forecasting for China. Our objective is to determine whether well-established forecasting models that are commonly used to compute forecasts for Western macroeconomies are also useful for China. Our study… read more here.
Keywords: simpler better; macroeconomy simpler; forecasting models; models chinese ... See more keywords
Estimating corporate bankruptcy forecasting models by maximizing discriminatory power
Sign Up to like & getrecommendations! Published in 2021 at "Review of Quantitative Finance and Accounting"
DOI: 10.1007/s11156-021-00995-0
Abstract: In this paper, we estimate coefficients of bankruptcy forecasting models, such as logistic and neural network models, by maximizing their discriminatory power as measured by the Area Under Receiver Operating Characteristics (AUROC) curve. A method… read more here.
Keywords: bankruptcy forecasting; bankruptcy; forecasting models; discriminatory power ... See more keywords
A Comparison of Short-Term Water Demand Forecasting Models
Sign Up to like & getrecommendations! Published in 2019 at "Water Resources Management"
DOI: 10.1007/s11269-019-02213-y
Abstract: This paper presents a comparison of different short-term water demand forecasting models. The comparison regards six models that differ in terms of: forecasting technique, type of forecast (deterministic or probabilistic) and the amount of data… read more here.
Keywords: demand forecasting; water; term water; forecasting models ... See more keywords
Predictive performance of international COVID-19 mortality forecasting models
Sign Up to like & getrecommendations! Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-021-22457-w
Abstract: Forecasts and alternative scenarios of COVID-19 mortality have been critical inputs for pandemic response efforts, and decision-makers need information about predictive performance. We screen n = 386 public COVID-19 forecasting models, identifying n = 7 that are global in… read more here.
Keywords: forecasting models; covid mortality; predictive performance; performance ... See more keywords
COVID-19 infected cases in Canada: Short-term forecasting models
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0270182
Abstract: Governments have implemented different interventions and response models to combat the spread of COVID-19. The necessary intensity and frequency of control measures require us to project the number of infected cases. Three short-term forecasting models… read more here.
Keywords: infected cases; forecasting models; term forecasting; cases canada ... See more keywords
Forecasting of droughts and tree mortality under global warming: a review of causative mechanisms and modeling methods
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Water and Climate Change"
DOI: 10.2166/wcc.2020.239
Abstract: Droughts of greater severity are expected to occur more frequently at larger space-time scales under global warming and climate change. Intensified drought and increased rainfall intermittency will heighten tree mortality. To mitigate drought-driven societal and… read more here.
Keywords: drought; forecasting models; mortality; tree mortality ... See more keywords
Improved Aflatoxins and Fumonisins Forecasting Models for Maize (PREMA and PREFUM), Using Combined Mechanistic and Bayesian Network Modeling—Serbia as a Case Study
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Microbiology"
DOI: 10.3389/fmicb.2021.643604
Abstract: Contamination of maize with aflatoxins and fumonisins is one of the major food safety concerns worldwide. Knowing the contamination in advance can help to reduce food safety risks and related health issues and economic losses.… read more here.
Keywords: food safety; forecasting models; prema prefum; study ... See more keywords
Hybrid Forecasting Models Based on the Neural Networks for the Volatility of Bitcoin
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10144768
Abstract: In this paper, we study the volatility forecasts in the Bitcoin market, which has become popular in the global market in recent years. Since the volatility forecasts help trading decisions of traders who want a… read more here.
Keywords: hybrid forecasting; neural networks; models based; volatility ... See more keywords
Spatiotemporal Clustering of Parking Lots at the City Level for Efficiently Sharing Occupancy Forecasting Models
Sign Up to like & getrecommendations! Published in 2023 at "Sensors"
DOI: 10.3390/s23115248
Abstract: This study aims to address the challenge of developing accurate and efficient parking occupancy forecasting models at the city level for autonomous vehicles. Although deep learning techniques have been successfully employed to develop such models… read more here.
Keywords: parking lots; occupancy forecasting; forecasting models; city level ... See more keywords
On Comparing Cross-Validated Forecasting Models with a Novel Fuzzy-TOPSIS Metric: A COVID-19 Case Study
Sign Up to like & getrecommendations! Published in 2021 at "Sustainability"
DOI: 10.3390/su132413599
Abstract: Time series cross-validation is a technique to select forecasting models. Despite the sophistication of cross-validation over single test/training splits, traditional and independent metrics, such as Mean Absolute Error (MAE) and Root Mean Square Error (RMSE),… read more here.
Keywords: topsis; case study; forecasting models; cross ... See more keywords
Wind Speed for Load Forecasting Models
Sign Up to like & getrecommendations! Published in 2017 at "Sustainability"
DOI: 10.3390/su9050795
Abstract: Temperature and its variants, such as polynomials and lags, have been the most frequently-used weather variables in load forecasting models. Some of the well-known secondary driving factors of electricity demand include wind speed and cloud… read more here.
Keywords: temperature; forecasting models; wind speed; load forecasting ... See more keywords