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Year of publication
Subject
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Theorie 4 Theory 4 Data envelopment analysis 2 Data-Envelopment-Analyse 2 Efficiency 2 Effizienz 2 Estimation 2 International diversification 2 Portfolio re-sampling 2 Schätzung 2 Stochastic dominance 2 Stochastic optimization 2 Stochastic process 2 Stochastischer Prozess 2 Sub-sampling 2 Sub-sampling simulation 2 Technical efficiency 2 Technische Effizienz 2 Volatility 2 Volatilität 2 sub-sampling 2 -score 1 ARCH model 1 ARCH-Modell 1 Analysis of variance 1 Artificial intelligence 1 Autocorrelation 1 Autokorrelation 1 Bank 1 Bank competition 1 Bank efficiency 1 Bank fragility 1 Bank stability 1 Bankenkrise 1 Banking crisis 1 Bayes-Statistik 1 Bayesian inference 1 Betrug 1 Big Data 1 Big data 1
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Online availability
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Undetermined 8
Type of publication
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Article 8 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 7 Aufsatz in Zeitschrift 7 research-article 1
Language
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English 8 Undetermined 1
Author
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Abid, Fathi 2 Mroua, Mourad 2 Wong, Wing Keung 2 Alexander, W. Robert J. 1 Anwar, Sajid 1 Astill, Sam 1 Chen, Qian 1 Danaher, Peter J. 1 Gerlach, Richard 1 Hanh Thi My Phan 1 Harvey, David I. 1 Leybourne, Stephen James 1 Loiza-Maya, Ruben 1 Nott, David J. 1 Park, Joon Y. 1 Phan, Hien Thu 1 Smith, Michael S. 1 Taylor, Robert 1 Tran, Carolyn-Dung T. T. 1 Vaughan, Gregory 1 Villano, Renato Andrin 1 Wang, Chao 1
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Institution
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Econometric Society 1
Published in...
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American Journal of Business 1 American journal of business : applying research to practice ; AJB 1 Applied economics 1 Econometric Society 2004 North American Winter Meetings 1 Econometric reviews 1 International journal of forecasting 1 Journal of econometrics 1 Quantitative finance 1 The North American journal of economics and finance : a journal of financial economics studies 1
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Source
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ECONIS (ZBW) 7 RePEc 1 Other ZBW resources 1
Showing 1 - 9 of 9
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Fast and accurate variational inference for models with many latent variables
Loiza-Maya, Ruben; Smith, Michael S.; Nott, David J.; … - In: Journal of econometrics 230 (2022) 2, pp. 339-362
Persistent link: https://www.econbiz.de/10013463884
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Efficient big data model selection with applications to fraud detection
Vaughan, Gregory - In: International journal of forecasting 36 (2020) 3, pp. 1116-1127
Persistent link: https://www.econbiz.de/10012498361
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Bayesian realized-GARCH models for financial tail risk forecasting incorporating the two-sided Weibull distribution
Wang, Chao; Chen, Qian; Gerlach, Richard - In: Quantitative finance 19 (2019) 6, pp. 1017-1042
Persistent link: https://www.econbiz.de/10012194739
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Competition, efficiency and stability : an empirical study of East Asian commercial banks
Phan, Hien Thu; Anwar, Sajid; Alexander, W. Robert J.; … - In: The North American journal of economics and finance : a … 50 (2019), pp. 1-17
Persistent link: https://www.econbiz.de/10012201347
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Performance of private higher education institutions in Vietnam : evidence using DEA-based bootstrap directional distance approach with quasi-fixed inputs
Villano, Renato Andrin; Tran, Carolyn-Dung T. T. - In: Applied economics 50 (2018) 55, pp. 5966-5978
Persistent link: https://www.econbiz.de/10012062959
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Tests for an end-of-sample bubble in financial time series
Astill, Sam; Harvey, David I.; Leybourne, Stephen James; … - In: Econometric reviews 36 (2017) 6/9, pp. 651-666
Persistent link: https://www.econbiz.de/10011795312
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Optimal diversification, stochastic dominance, and sampling error
Mroua, Mourad; Abid, Fathi; Wong, Wing Keung - In: American journal of business : applying research to … 32 (2017) 1, pp. 48-79
Persistent link: https://www.econbiz.de/10011799619
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Optimal diversification, stochastic dominance, and sampling error
Mroua, Mourad; Abid, Fathi; Wong, Wing Keung - In: American Journal of Business 32 (2017) 1, pp. 58-79
strategy choice using the nonparametric SD test by Linton et al. (2005) based on sub-sampling simulated p values. The authors …
Persistent link: https://www.econbiz.de/10014668359
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The Spatial Analysis of Time Series
Park, Joon Y. - Econometric Society - 2004
In this paper, we propose a method of analyzing time series in the spatial domain. The analysis is based on the inference on the local time and its expectation. Both for the stationary and nonstationary time series, the spatial distributions are provided by the local time, and some of their...
Persistent link: https://www.econbiz.de/10005329026
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