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  • Search: subject:"Data augmentation"
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Year of publication
Subject
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data augmentation 46 Data augmentation 43 Bayesian inference 20 Data Augmentation 17 Estimation 16 Markov Chain Monte Carlo 16 Schätzung 16 Theorie 16 Theory 15 Bayes-Statistik 13 Gibbs sampling 12 Artificial intelligence 11 Künstliche Intelligenz 11 Gibbs sampler 10 Estimation theory 9 Schätztheorie 9 Markov chain 8 Factor analysis 7 Faktorenanalyse 7 Forecasting model 7 Identifiability 7 Prognoseverfahren 7 Time series analysis 7 Zeitreihenanalyse 7 marginal data augmentation 7 Bayesian analysis 6 Monte Carlo simulation 6 Bayesian Factor Models 5 Bayesian factor models 5 Deep learning 5 Exploratory Factor Analysis 5 Gibbs Sampling 5 MCMC 5 Marginal Data Augmentation 5 Markov chain Monte Carlo 5 Markov-Kette 5 Model Expansion 5 Model Selection 5 Neural networks 5 Neuronale Netze 5
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Online availability
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Undetermined 71 Free 61 CC license 6
Type of publication
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Article 86 Book / Working Paper 50 Other 1
Type of publication (narrower categories)
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Article in journal 33 Aufsatz in Zeitschrift 33 Working Paper 21 Arbeitspapier 9 Graue Literatur 9 Non-commercial literature 9 Article 4 research-article 4 Konferenzschrift 2 Conference paper 1 Hochschulschrift 1 Konferenzbeitrag 1
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Language
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English 72 Undetermined 60 German 5
Author
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Conti, Gabriella 12 Piatek, Rémi 12 Frühwirth-Schnatter, Sylvia 11 Heckman, James J. 11 Rässler, Susanne 6 Kölling, Arnd 4 Berg, Gerard J. van den 3 Eckert, Florian 3 Gordon, Stephen 3 Klaauw, Bas van der 3 Koenker, Roger 3 Kronenberg, Philipp 3 Mikosch, Heiner 3 Millimet, Daniel L. 3 Narisetty, Naveen 3 Neuwirth, Stefan 3 POEL, D. VAN DEN 3 St-Amour, Pascal 3 Aydogus, Osman 2 BAECKE, P. 2 Bradlow, Eric T. 2 Czado, Claudia 2 Dutta, Paramartha 2 Fruehwirth-Schnatter, Sylvia 2 Gensowski, Miriam 2 Gschlößl, Susanne 2 Hobert, James P. 2 Krasnovský, Pavol 2 Mandal, J. K. 2 Mbuvha, Rendani 2 Monokroussos, George 2 Mukhopadhyay, Somnath 2 Ngwenduna, Kwanda Sydwell 2 Piatek, Remi 2 Pitt, Mark M. 2 Roy, Vivekananda 2 Rubin, Donald 2 Sanford, Andrew D. 2 Singh, Amit Kumar 2 Singh, Jyoti Prakash 2
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Institution
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Faculteit Economie en Bedrijfskunde, Universiteit Gent 3 Becker Friedman Institute for Research in Economics, University of Chicago 2 Center for Operations Research and Econometrics (CORE), École des Sciences Économiques de Louvain 2 Department of Econometrics and Business Statistics, Monash Business School 2 International Conference on Computational Intelligence in Communications and Business Analytics <6., 2024, Patna> 2 Society for Computational Economics - SCE 2 Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes-Kepler-Universität Linz 1 Berkeley Electronic Press 1 Brown University, Department of Economics 1 C.E.P.R. Discussion Papers 1 Centre Interuniversitaire de Recherche en Analyse des Organisations (CIRANO) 1 Centre Interuniversitaire sur le Risque, les Politiques Économiques et l'Emploi (CIRPÉE) 1 Department of Economics and Related Studies, University of York 1 Department of Economics, University of California-Irvine 1 Département d'Économique, Université Laval 1 Institute for the Study of Labor (IZA) 1 Springer Fachmedien Wiesbaden 1 Tinbergen Institute 1 Tinbergen Instituut 1 Vienna University of Economics and Business, Department of Economics 1 Wirtschafts- und Sozialwissenschaftliche Fakultät, Friedrich-Alexander-Universität Erlangen-Nürnberg 1
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Published in...
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Computational Statistics & Data Analysis 7 Psychometrika 7 Computational economics 3 Discussion Paper 3 IZA Discussion Papers 3 Journal of Multivariate Analysis 3 Quantitative Marketing and Economics 3 Statistics & Probability Letters 3 Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 3 Annals of the Institute of Statistical Mathematics 2 CEMMAP working papers / Centre for Microdata Methods and Practice 2 CORE Discussion Papers 2 Cahiers de recherche 2 Communications in Computer and Information Science 2 Computational Statistics 2 Discussion paper series 2 Diskussionspapier 2 Econometric Reviews 2 Jahrbücher für Nationalökonomie und Statistik 2 Journal of Agricultural & Food Industrial Organization 2 Journal of Applied Statistics 2 Journal of Intelligent Manufacturing 2 Journal of econometrics 2 Monash Econometrics and Business Statistics Working Papers 2 Risks : open access journal 2 Tinbergen Institute Discussion Papers 2 Working Papers / Becker Friedman Institute for Research in Economics, University of Chicago 2 cemmap working paper 2 AStA Advances in Statistical Analysis 1 Abante 1 CEPR Discussion Papers 1 CIRANO Working Papers 1 Computational Economics 1 Computers & operations research : and their applications to problems of world concern ; an international journal 1 Computing in Economics and Finance 2005 1 Computing in Economics and Finance 2006 1 Department of Economics Working Papers / Vienna University of Economics and Business, Department of Economics 1 Discussion Papers / Department of Economics and Related Studies, University of York 1 Discussion Papers / Wirtschafts- und Sozialwissenschaftliche Fakultät, Friedrich-Alexander-Universität Erlangen-Nürnberg 1 Discussion paper / Tinbergen Institute 1
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Source
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RePEc 70 ECONIS (ZBW) 45 EconStor 16 Other ZBW resources 4 USB Cologne (business full texts) 1 BASE 1
Showing 1 - 10 of 137
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High-frequency inflation forecasting : a two-step machine learning methodology
Bolivar, Osmar - In: Latin American journal of central banking : LAJCB 7 (2026) 1, pp. 1-20
official releases or within-period estimation using mixed-frequency indicators - while also serving as a data-augmentation …
Persistent link: https://www.econbiz.de/10015643940
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Tracking economic activity with alternative high-frequency data
Eckert, Florian; Kronenberg, Philipp; Mikosch, Heiner; … - In: Journal of applied econometrics 40 (2025) 3, pp. 270-290
Persistent link: https://www.econbiz.de/10015372760
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Effective strategies for the prediction of aircraft passenger seat (dis-)comfort based on Time Series Classification
Vanacore, Amalia; Ciardiello, Armando - In: Socio-economic planning sciences : the international … 100 (2025), pp. 1-11
Persistent link: https://www.econbiz.de/10015431592
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Applying knowledge transfer in data augmentation to improve online advertising performance of entrepreneurs
Huertas-Garcia, Ruben; Sáez-Ortuño, Laura; Coll, … - In: Journal of innovation & knowledge : JIK 10 (2025) 6, pp. 1-10
analytical algorithms (XGBoost) with data augmentation algorithms (SMOTE) to improve targeting accuracy when launching online …
Persistent link: https://www.econbiz.de/10015533569
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Large skew-t copula models and asymmetric dependence in intraday equity returns
Deng, Lin; Smith, Michael S.; Maneesoonthorn, Worapree - In: Journal of business & economic statistics : JBES ; a … 43 (2025) 2, pp. 269-285
Persistent link: https://www.econbiz.de/10015534006
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Asset demand systems via data augmentation : competition and differentiation in asset management
Handziuk, Yurii - 2025
Persistent link: https://www.econbiz.de/10015410301
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Competitive advantage in healthcare based on augmentation of clinical images with artificial intelligence : case study of the "SAMBIAS" project
D'Amico, Alessandra; Di Capua, Michele; Di Nardo, Emanuel; … - In: International journal of managerial and financial … 16 (2024) 1, pp. 1-16
Persistent link: https://www.econbiz.de/10015065911
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A novel hybrid deep learning method for accurate exchange rate prediction
Iqbal, Farhat; Koutmos, Dimitrios; Zaki, Eman Ahmed … - In: Risks : open access journal 12 (2024) 9, pp. 1-20
augmentation, Optuna-optimized hyperparameters, and bidirectional GRU algorithms for monthly FX rate forecasting. The data … insights for implementing ML and DL models on low-frequency time series data, where artificial data augmentation can be … propose a novel forecasting framework, the MVO-BiGRU model, which integrates variational mode decomposition (VMD), data …
Persistent link: https://www.econbiz.de/10015066311
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An explainable artificial intelligence model for multiple lung diseases classification from chest X-ray images using fine-tuned transfer learning
Mahamud, Eram; Ul Fahad, Nafiz; Assaduzzaman, Md; Zain, … - 2024
model that included data augmentation techniques achieved the best results, with an accuracy of 99.20%, and precision and … recall of 99%. This demonstrates the critical role of data augmentation in improving model performance. SHAP and LIME …
Persistent link: https://www.econbiz.de/10015414412
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Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography
Pareek, Kaushal Arun; May, Daniel; Meszmer, Peter; Ras, … - In: Journal of Intelligent Manufacturing 36 (2024) 3, pp. 1879-1905
The vision of a deep learning-empowered non-destructive evaluation technique aligns perfectly with the goal of zero-defect manufacturing, enabling manufacturers to detect and repair defects actively. However, the dearth of data in manufacturing is one of the biggest obstacles to realizing an...
Persistent link: https://www.econbiz.de/10015410170
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