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Deep learning for finance: deep portfolios
Heaton, J. B., Polson, N. G., Witte, J. H.
Published in Applied stochastic models in business and industry (01.01.2017)
Published in Applied stochastic models in business and industry (01.01.2017)
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Stochastic modelling and analysis of degradation for highly reliable products
Ye, Zhi-Sheng, Xie, Min
Published in Applied stochastic models in business and industry (01.01.2015)
Published in Applied stochastic models in business and industry (01.01.2015)
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Rejoinder to 'Stochastic modelling and analysis of degradation for highly reliable products'
Ye, Zhi-Sheng, Xie, Min
Published in Applied stochastic models in business and industry (01.01.2015)
Published in Applied stochastic models in business and industry (01.01.2015)
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Birnbaum‐Saunders distribution: A review of models, analysis, and applications
Balakrishnan, N., Kundu, Debasis
Published in Applied stochastic models in business and industry (01.01.2019)
Published in Applied stochastic models in business and industry (01.01.2019)
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Firms' profitability and ESG score: A machine learning approach
D'Amato, Valeria, D'Ecclesia, Rita, Levantesi, Susanna
Published in Applied stochastic models in business and industry (01.03.2024)
Published in Applied stochastic models in business and industry (01.03.2024)
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Vector error correction models to measure connectedness of Bitcoin exchange markets
Giudici, Paolo, Pagnottoni, Paolo
Published in Applied stochastic models in business and industry (01.01.2020)
Published in Applied stochastic models in business and industry (01.01.2020)
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Specifying prior distributions in reliability applications
Tian, Qinglong, Lewis‐Beck, Colin, Niemi, Jarad B., Meeker, William Q.
Published in Applied stochastic models in business and industry (01.01.2024)
Published in Applied stochastic models in business and industry (01.01.2024)
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Good and bad market research: A critical review of Net Promoter Score
Fisher, Nicholas I., Kordupleski, Raymond E.
Published in Applied stochastic models in business and industry (01.01.2019)
Published in Applied stochastic models in business and industry (01.01.2019)
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Hybrid descriptive‐inferential method for key feature selection in prostate cancer radiomics
Barone, Stefano, Cannella, Roberto, Comelli, Albert, Pellegrino, Arianna, Salvaggio, Giuseppe, Stefano, Alessandro, Vernuccio, Federica
Published in Applied stochastic models in business and industry (01.09.2021)
Published in Applied stochastic models in business and industry (01.09.2021)
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Connected autonomous vehicles: State of practice
Islam, Muhammad Mobaidul, Newaz, Abdullah Al Redwan, Song, Li, Lartey, Benjamin, Lin, Shih‐Chun, Fan, Wei, Hajbabaie, Ali, Khan, Mubbashar Altaf, Partovi, Alireza, Phuapaiboon, Tienake, Homaifar, Abdollah, Karimoddini, Ali
Published in Applied stochastic models in business and industry (01.09.2023)
Published in Applied stochastic models in business and industry (01.09.2023)
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A self‐exciting modeling framework for forward prices in power markets
Callegaro, Giorgia, Mazzoran, Andrea, Sgarra, Carlo
Published in Applied stochastic models in business and industry (01.01.2022)
Published in Applied stochastic models in business and industry (01.01.2022)
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Simultaneous marginal homogeneity versus directional alternatives for multivariate binary data with application to circular economy assessments
Bonnini, Stefano, Borghesi, Michela, Giacalone, Massimiliano
Published in Applied stochastic models in business and industry (01.03.2024)
Published in Applied stochastic models in business and industry (01.03.2024)
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