Search Results - subject:"Principal component analysis"

Asymmetric roles of macroeconomic variables in the real exchange rate : insights from U.S.-Korea data

Behera, Sarthak; Kim, Hyeongwoo; Kim, Soohyon - 2025

Persistent link: https://www.econbiz.de/10015340148

Eigenvalue tests for the number of latent factors in short panels

Fortin, Alain-Philippe; Gagliardini, Patrick; Scaillet, … - 2025

Persistent link: https://www.econbiz.de/10015339146

New indicators for measuring financial conditions in a financially dollarized economy

Pérez Forero, Fernando - 2024

Persistent link: https://www.econbiz.de/10015165291

Equity markets and monetary policy surprises

Gupta, Mayank; Pawar, Amit; Kumar, Satyam; Borad, Abhinandan - 2024

Persistent link: https://www.econbiz.de/10014526606

What charge‐off rates are predictable by macroeconomic latent factors?

Kim, Hyeongwoo; Son, Jisoo - 2024

Persistent link: https://www.econbiz.de/10014514177

Predictive power of U.S. macroeconomic factors for the dollar/won real exchange rate

Behera, Sarthak; Kim, Hyeongwoo; Kim, Soohyon - 2024

Persistent link: https://www.econbiz.de/10014514179

Dimensionality reduction analysis of the renewable energy sector in Azerbaijan : nonparametric analyses of large datasets

Niftiyev, Ibrahim - In: Statistics in transition : an international journal of … 25 (2024) 2, pp. 81-102

on nonparametric dimensionality reduction are rather sparse. Principal component analysis (PCA) and multiple …

Persistent link: https://www.econbiz.de/10015125542

Weighted compositional functional data analysis for modeling and forecasting life-table death counts

Shang, Han Lin; Haberman, Steven - In: Journal of forecasting 43 (2024) 8, pp. 3051-3071

Persistent link: https://www.econbiz.de/10015110599

Optimizing data aggregation and clustering in Internet of things networks using principal component analysis and Q-learning

Bajpai, Abhishek; Verma, Harshita; Yadav, Anita - In: Data science and management : DSM 7 (2024) 3, pp. 189-196

-of-the-art machine-learning methods. In this study, we employed a novel approach that combines an extended version of principal component … analysis (PCA) and a reinforcement learning algorithm to achieve efficient clustering and data reduction. The primary …

Persistent link: https://www.econbiz.de/10015078068

On the forecastability of agricultural output

Kyriazi, Foteini; Xylangouras, Efthymios; Papadogonas, … - In: Review of Economic Analysis : REA 16 (2024) 4, pp. 443-467

The disruption of supply chain due to Covid-19 and the war in Ukraine, render the prediction of agricultural output a determinant factor of economic life. We consider the predictability of agricultural output based on a set of explanatory variables, that include agricultural input, prices and...

Persistent link: https://www.econbiz.de/10015386812

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