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  • Search: isPartOf:"Applied Stochastic Models in Business and Industry"
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Year of publication
Subject
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Option pricing theory 1 Option trading 1 Optionsgeschäft 1 Optionspreistheorie 1 Stochastic process 1 Stochastischer Prozess 1
Online availability
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Undetermined 300 Free 1
Type of publication
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Article 300 Book / Working Paper 2
Type of publication (narrower categories)
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Konferenzschrift 1
Language
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English 302
Author
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Finkelstein, Maxim 7 Balakrishnan, Narayanaswamy 6 Cha, Ji Hwan 5 Ravishanker, Nalini 5 Ekin, Tahir 4 Kundu, Debasis 4 Leiva, Víctor 4 Vicario, Grazia 4 Xie, Min 4 Yashchin, Emmanuel 4 Capezza, Christian 3 Dohnal, Gejza 3 Eryilmaz, Serkan 3 Gaudoin, Olivier 3 Lepore, Antonio 3 Li, Ta‐Hsin 3 Meeker, William Q. 3 Navarro, Jorge 3 Ng, Hon Keung Tony 3 Palumbo, Biagio 3 Saulo, Helton 3 Yoshioka, Hidekazu 3 Zhang, Yiying 3 Ahmed, S. Ejaz 2 Anderson‐Cook, Christine M. 2 Arboretti, Rosa 2 Banks, David 2 Bar, Haim 2 Casey, Stephen D. 2 Ceccato, Riccardo 2 Chen, Cathy W. S. 2 Choi, Sun‐Yong 2 Coleman, Shirley 2 Conversano, Claudio 2 De Nicolao, Giuseppe 2 Dewan, Isha 2 Dias, David 2 Doyen, Laurent 2 Fang, Rui 2 Fischer, Wolfram 2
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Institution
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International Symposium on Business and Industrial Statistics <6, 2007, Ponta Delgada> 1
Published in...
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Applied Stochastic Models in Business and Industry 300 Applied stochastic models in business and industry 1 Forthcoming in Applied Stochastic Models in Business and Industry 1
Source
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Other ZBW resources 300 ECONIS (ZBW) 1 USB Cologne (EcoSocSci) 1
Showing 71 - 80 of 302
Cover Image
Discussion of “A review of data science in business and industry and a future view” by Grazia Vicario and Shirley Coleman
Ferrer, Alberto - In: Applied Stochastic Models in Business and Industry 36 (2020) 1, pp. 23-29
Persistent link: https://www.econbiz.de/10012272526
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General framework for testing Poisson‐Voronoi assumption for real microstructures
Vittorietti, Martina; Kok, Piet J. J.; Sietsma, Jilt; … - In: Applied Stochastic Models in Business and Industry 36 (2020) 4, pp. 604-627
Persistent link: https://www.econbiz.de/10012272527
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Deep learning for energy markets
Polson, Michael; Sokolov, Vadim - In: Applied Stochastic Models in Business and Industry 36 (2020) 1, pp. 195-209
Persistent link: https://www.econbiz.de/10012272528
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Bayesian optimal life‐testing plan under the balanced two sample type‐II progressive censoring scheme
Mondal, Shuvashree; Bhattacharya, Ritwik; Pradhan, … - In: Applied Stochastic Models in Business and Industry 36 (2020) 4, pp. 628-640
Persistent link: https://www.econbiz.de/10012272529
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Generalized discrete autoregressive moving‐average models
Möller, Tobias A.; Weiß, Christian - In: Applied Stochastic Models in Business and Industry 36 (2020) 4, pp. 641-659
Persistent link: https://www.econbiz.de/10012272530
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Tolerance intervals for autoregressive models, with an application to hospital waiting lists
Cheng, Kedai; Young, Derek S. - In: Applied Stochastic Models in Business and Industry 36 (2020) 2, pp. 268-282
Persistent link: https://www.econbiz.de/10012272531
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Bayesian estimation and prediction for the transformed Wiener degradation process
Giorgio, Massimiliano; Postiglione, Fabio; Pulcini, … - In: Applied Stochastic Models in Business and Industry 36 (2020) 4, pp. 660-678
Persistent link: https://www.econbiz.de/10012272532
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On‐site surrogates for large‐scale calibration
Huang, Jiangeng; Gramacy, Robert B.; Binois, Mickaël; … - In: Applied Stochastic Models in Business and Industry 36 (2020) 2, pp. 283-304
Persistent link: https://www.econbiz.de/10012272533
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Leaders and followers in mutual funds : A dynamic Bayesian approach
Andreu, Laura; Sarto, José L.; Gargallo, Pilar; … - In: Applied Stochastic Models in Business and Industry 36 (2020) 4, pp. 679-695
Persistent link: https://www.econbiz.de/10012272534
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Control charts based on randomized quantile residuals
Park, Kayoung; Jung, Dongmin; Kim, Jong‐Min - In: Applied Stochastic Models in Business and Industry 36 (2020) 4, pp. 716-729
Persistent link: https://www.econbiz.de/10012272535
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