Results 151 to 160 of about 102,837 (286)
Using DSGE and Machine Learning to Forecast Public Debt for France
Journal of Forecasting, EarlyView.ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos +4 more
wiley +1 more source
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
Geological Journal, EarlyView.This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi +3 more
wiley +1 more source
International Studies of Economics, EarlyView.ABSTRACT To explore the real effect of banking globalisation on bank liquidity creation, we investigate plausibly exogenous variations in the expectation of further banking globalisation under the Belt and Road Initiative (BRI), which further opens the gate to foreign investors.
Xuanyi Shi +3 more
wiley +1 more source
Decision Threshold Setting in Binary Classification Problems—A Behavioral Lens
Journal of Operations Management, EarlyView.ABSTRACT When binary classification models are wrong, managers face misclassification costs. Although false positive outcomes imply unnecessary mitigation efforts, false negative outcomes imply overlooking the class of interest. Humans calibrate these ai models supporting operational systems by adjusting the decision threshold that translates ...
Patrick Moder, Kai Hoberg, Felix Papier
wiley +1 more source
Journal of the Science of Food and Agriculture, EarlyView.Abstract BACKGROUND Obesity is a major risk factor for cardiovascular disease, primarily due to its effects on lipid metabolism, oxidative stress, and inflammation. The aim of this study was to evaluate the effects of spirulina (SP) on cafeteria diet (CD)‐induced myocardial oxidative stress and inflammation using biochemical, histological, and in ...
Fatma Arrari +3 more
wiley +1 more source
Comprehensive blood glucose level prediction from HbA1c levels using machine learning models across the biological range. [PDF]
Sci RepOkyay TM, Yilmaz I, Koldas M.
europepmc +1 more source
Mathematical Methods in the Applied Sciences, EarlyView.We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
Connected Components on Lie Groups and Applications to Multi-Orientation Image Analysis. [PDF]
J Math Imaging Visvan den Berg NJ, Mula O, Vis L, Duits R.
europepmc +1 more source