Results 41 to 50 of about 13,364 (216)
Variable Weights Combination MIDAS Model Based on ELM for Natural Gas Price Forecasting
IEEE Access, 2022 Accurate and stable natural gas price forecasts are essential for effective management of energy systems. However, due to the mixed frequency of data and the inherent nonlinear fluctuation characteristics of natural gas price changes, it is difficult to ...
Lue Li +3 more
doaj +1 more source
Markov-Switching MIDAS Models [PDF]
Journal of Business & Economic Statistics, 2013 This article introduces a new regression model—Markov-switching mixed data sampling (MS-MIDAS)—that incorporates regime changes in the parameters of the mixed data sampling (MIDAS) models and allows for the use of mixed-frequency data in Markov-switching models.
MARCELLINO, MASSIMILIANO, P. Guerin
openaire +6 more sources
Forecasting With Dynamic Factor Models Estimated by Partial Least Squares
Journal of Forecasting, EarlyView.ABSTRACT Dynamic factor models (DFMs) have found great success in nowcasting and short‐term macroeconomic forecasting when incorporating large sets of predictive information. The factor loadings are typically estimated cross‐sectionally with principal component analysis (PCA) or maximum likelihood (ML), which ignore whether the factors have predictive ...
Samuel Rauhala
wiley +1 more source
Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now
Journal of Forecasting, EarlyView.ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley +1 more source
Nowcasting World Trade With Machine Learning: A Three‐Step Approach
Journal of Forecasting, EarlyView.ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn +2 more
wiley +1 more source
Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.Abstract Purpose Anterior cruciate ligament (ACL) tears are among the most common knee injuries, accounting for half of all knee ligament injuries. Magnetic resonance imaging (MRI) is the standard for diagnosing ACL tears, but its interpretation is experience‐dependent.
Gabriel Moraes de Oliveira +8 more
wiley +1 more source
World Neurosurgery, 2013 2016-03-21T19:08 ...
Professor of Clinical Neurosurgery, University of Miami, Miami, Florida, USA ( host institution ) +1 more
openaire +3 more sources
Botanic and heritage gardens as living laboratories in the age of the polycrisis
PLANTS, PEOPLE, PLANET, EarlyView.Societal Impact Statement Cities face intertwined crises of climate, biodiversity loss and social disconnection. We show how botanic and heritage gardens can help address these challenges as living laboratories to generate place‐based evidence and public engagement.
Kevin Frediani
wiley +1 more source
Journal of the Formosan Medical Association, 2006 The seven-item Migraine Disability Assessment (MIDAS) questionnaire is a simple and useful tool for evaluating migraine-related disability. The goals of this study were: (1) to test the reliability and validity of the Taiwan version of the MIDAS (MIDAS-T)
Pei-Hua Hung +2 more
doaj +1 more source
Journal of Field Robotics, EarlyView.ABSTRACT As a crucial puzzle piece of deep space exploration, exploring small bodies can provide significant scientific insights and valuable mineral resources. Unlike missions to the Moon and Mars, small‐body missions pose distinct technical challenges, including communication delays, weak gravity, and uncertain environments. This paper reviews a full
Xin Zhang +3 more
wiley +1 more source