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Are box office revenues equally unpredictable for all movies? : evidence from a random forest-based model

Antipov, Evengy A.; Pokryshevskaya, Elena B. - In: Journal of revenue and pricing management 16 (2017) 3, pp. 295-307

Persistent link: https://www.econbiz.de/10011912835

A nonparametric data mining approach for risk prediction in car insurance : a case study from the Montenegrin market

Kašćelan, Vladimir; Kašćelan, Ljiljan; Novović … - In: Economic research 29 (2016) 1, pp. 545-558

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Wind power forecasting using the k-nearest neighbors algorithm

Mangalova, E.; Agafonov, E. - In: International journal of forecasting 30 (2014) 2, pp. 402-406

Persistent link: https://www.econbiz.de/10010510891

Investigating growth-at-risk using a multicountry non-parametric quantile factor model

Clark, Todd E.; Huber, Florian; Koop, Gary; Marcellino, … - 2023

Persistent link: https://www.econbiz.de/10014384414

A comparative study of linear regression, generalized additive models, and regression trees

Sapra, Sunil K. - In: The empirical economics letters : a monthly … 18 (2019) 5, pp. 571-578

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Regression trees for hospitality data analysis

Tsionas, Efthymios G.; Assaf, A. Georges - In: International journal of contemporary hospitality management 35 (2023) 7, pp. 2374-2387

Persistent link: https://www.econbiz.de/10014314778

Investigating growth at risk using a multi-country non-parametric quantile factor model

Clark, Todd E.; Huber, Florian; Koop, Gary; Marcellino, … - 2023

Persistent link: https://www.econbiz.de/10014316039

Fusion of hard and soft information in nonparametric density estimation

Royset, Johannes O.; Wets, Roger J.-B. - In: European journal of operational research : EJOR 247 (2015) 2, pp. 532-547

Persistent link: https://www.econbiz.de/10011375775

Data masking by noise addition and the estimation of nonparametric regression models

Nolte, Sandra; Pohlmeier, Winfried - In: Jahrbücher für Nationalökonomie und Statistik 225 (2005) 5, pp. 517-528

Persistent link: https://www.econbiz.de/10003100982

Data Masking by Noise Addition and the Estimation of Nonparametric Regression Models

Nolte (Lechner), Sandra - 2006

Data collecting institutions use a large range of masking procedures in order to protect data against disclosure. Generally, a masking procedure can be regarded as a kind of data filter that transforms the true data generating process. Such a transformation severely affects the quality of the...

Persistent link: https://www.econbiz.de/10012779796