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

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Common factor augmented forecasting models for the US dollar-Korean won exchange rate

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Forecasting net charge‐off rates of large U.S. bank holding companies using macroeconomic latent factors

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Factor analysis regression for predictive modeling with high-dimensional data

Carter, Randy L.; Michael, Netsanet - In: Journal of quantitative economics 20 (2022), pp. 115-132

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Superior predictability of American factors of the won/dollar real exchange rate

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Studying Covariance and Variance Components in the Czech Regions Arrival Tourism Data

Malec, Lukáš; Pavlícek, Antonín; Poživil, Jaroslav - In: Acta Universitatis Danubius. OEconomica (2014) 2(2), pp. 109-128

Lots of tourism data vary over time for that reason the quality processing techniques are demanded to relate such a series. This study concerns the covariance, resp. variance analysis of arrivals to regions of the Czech Republic using static multivariate methods of partial least squares (PLS),...

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Prediction oriented classification in PLS Path Modeling

Squillacciotti, Silvia - In: Handbook of partial least squares : concepts, methods …, (pp. 219-233). 2010

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Partial least squares classification for high dimensional data using the PCOUT algorithm

Turkmen, Asuman; Billor, Nedret - In: Computational Statistics 28 (2013) 2, pp. 771-788

Classification of samples into two or multi-classes is to interest of scientists in almost every field. Traditional … statistical methodology for classification does not work well when there are more variables (p) than there are samples (n) and it … is highly sensitive to outlying observations. In this study, a robust partial least squares based classification method …

Persistent link: https://www.econbiz.de/10010998538