Nowcasting short-term indicators with machine learning methods (English)
- New search for: Fröhlich, Markus
- New search for: Fröhlich, Markus
In:
Statistical Journal of the IAOS
;
38
, 4
;
1411-1436
;
2022
- Article (Journal) / Electronic Resource
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Title:Nowcasting short-term indicators with machine learning methods
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Additional title:Nowcasting short-term indicators with machine learning methods
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Contributors:Fröhlich, Markus ( author )
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Published in:Statistical Journal of the IAOS ; 38, 4 ; 1411-1436
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Publisher:
- New search for: IOS Press
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Place of publication:Amsterdam, The Netherlands
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Publication date:2022-07-01
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Size:26 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 38, Issue 4
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1101
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Editorial: How can Official Statistics find a way out of the fog?| 2022
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Interview with Javier Carranza, about the decision to dissolve DIGESTYC El Salvador| 2022
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- 1129
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Official statistics: Providing data acumen in the advent and continuous presence of COVID-19Adeboye, Nureni Olawale / Ogunnusi, Oluwatobi Nurudeen / Popoola, Peter Osuolale et al. | 2022
- 1143
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Assessing pandemic era stadium events and infections using mobile phone based population mobility data: An exploratory study from Ireland, 2021Condron, Aidan James / McGrath, Guy / Madden, Jamie et al. | 2022
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- 1175
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- 1177
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Predicting the quality and evaluating the use of administrative data for the 2021 Canadian Census of PopulationLundy, Erin R. et al. | 2022
- 1185
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Statistical data integration models to bridge health official statisticsErciulescu, Andreea L. et al. | 2022
- 1195
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Timeliness reduction on industrial turnover index based on machine learning algorithmsBarreñada, Lasai / Gálvez Sainz de Cueto, Juan Carlos / Fernández Calatrava, Jorge et al. | 2022
- 1207
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Imputation for sub-sampling in Indonesian National Socioeconomic SurveyHasyyati, Atika Nashirah / Lumley, Thomas et al. | 2022
- 1221
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Evolution of the person census and the estimation of population counts in New Zealand, United Kingdom, Italy and IsraelBernardini, Antonella / Brown, James / Chipperfield, James / Bycroft, Christine / Chieppa, Angela / Cibella, Nicoletta / Dunnet, Gary / Hawkes, Michael F. / Hleihel, Ahmad / Law, Eleanor C. et al. | 2022
- 1239
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- 1251
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A model-based estimation and mapping of school-age children living in poverty in the local areas of South AfricaLaldaparsad, Sharthi / Shiferaw, Yegnanew A. et al. | 2022
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An innovative approach to measure multidimensional poverty: A synthesis methodDeepawansa, Dilshanie / Dunusinghe, Priyanga / Lahiri, Partha / Gunatilaka, Ramani et al. | 2022
- 1325
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Bayesian synthetic prediction of state level poverty using Indian Household Consumer Expenditure Survey Data1Das, Soumojit / Basu, Atanushasan / Lahiri, Partha / Sengupta, Shreya et al. | 2022
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The impact of estimated sub-national purchasing power parity on macroeconomic measures1Costa, Alex / Galletto, Vittorio / Garcia, Jaume / Raymond, Josep Lluís / Sánchez-Serra, Daniel et al. | 2022
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Scanner data processing in a newest version of the PriceIndices packageBiałek, Jacek et al. | 2022
- 1399
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Combining quota and probability sub-sampling within enumeration areas to produce more reliable estimatesCoelho, Isabela Bertolini / Pitta, Marcelo Trindade / do Nascimento Silva, Pedro Luis et al. | 2022
- 1411
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Nowcasting short-term indicators with machine learning methodsFröhlich, Markus et al. | 2022
- 1437
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Interpolation of DHS survey data at subnational administrative level 2Mayala, Benjamin K. / Donohue, Rose E. / Dontamsetti, Trinadh / Fish, Thomas D. / Croft, Trevor N. et al. | 2022
- 1451
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- 1461
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- 1503
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- 1515
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