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期刊


ISSN1524-1904
刊名Applied Stochastic Models in Business and Industry
参考译名商业与工业应用随机模型
收藏年代2002～2023

关联期刊参考译名收藏年代
Applied Stochastic Models in Business and Industry商业与工业应用随机模型2024～2026


全部

2002 2003 2004 2005 2006 2007
2008 2009 2010 2011 2012 2013
2014 2015 2016 2017 2018 2019
2020 2021 2022 2023

2023, vol.39, no.1 2023, vol.39, no.2 2023, vol.39, no.3 2023, vol.39, no.4 2023, vol.39, no.5 2023, vol.39, no.6

题名作者出版年年卷期
Quantum Bayesian computationNick Polson; Vadim Sokolov; Jianeng Xu20232023, vol.39, no.6
Time‐invariant portfolio strategies in structured products with guaranteed minimum equity exposureLuca Di Persio; D. Mancinelli; Immacolata Oliva; K. Wallbaum20232023, vol.39, no.6
Lost in a black‐box? Interpretable machine learning for assessing Italian SMEs defaultLisa Crosato; Caterina Liberati; Marco Repetto20232023, vol.39, no.6
A Bayesian record linkage model incorporating relational dataJuan Sosa; Abel Rodríguez20232023, vol.39, no.6
Modeling clustered binary data with nonparametric unobserved heterogeneity: An application to stock crash analysisRuixi Zhao; Renjun Ma; Guohua Yan; Haomiao Niu; Wenjiang Jiang20232023, vol.39, no.6
Value‐at‐Risk with quantile regression neural network: New evidence from internet finance firmsLi Zeng; Wee‐Yeap Lau; Elya Nabila Abdul Bahri20232023, vol.39, no.6
Deep partial least squares for instrumental variable regressionMaria Nareklishvili; Nicholas Polson; Vadim Sokolov20232023, vol.39, no.6
A real‐time monitoring approach for bivariate event dataInez Maria Zwetsloot; Tahir Mahmood; Funmilola Mary Taiwo; Zezhong Wang20232023, vol.39, no.6



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