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Clustering life trajectories: A new divisive hierarchical clustering algorithm for discrete-valued discrete time series

Dlugosz, Stephan - 2011

A new algorithm for clustering life course trajectories is presented and tested with large register data. Life courses … clustering result for this kind of data provides interesting subgroups with similar life course trajectories. The high sampling … information. The new algorithm deals with this problem by simultaneously clustering and identifying critical junctures for each of …

Persistent link: https://www.econbiz.de/10010304330

Mathematical programming formulations and algorithms for discrete k-median clustering of time-series data

Seref, Onur; Fan, Ya-ju; Chaovalitwongse, Wanpracha - In: INFORMS journal on computing : JOC 26 (2014) 1, pp. 160-172

Persistent link: https://www.econbiz.de/10010344112

Machine learning treasury yields

Kakushadze, Zura; Yu, Willie - In: Bulletin of applied economics 7 (2020) 1, pp. 1-65

Persistent link: https://www.econbiz.de/10012807008

Clustering life trajectories: A new divisive hierarchical clustering algorithm for discrete-valued discrete time series

Dlugosz, Stephan - Zentrum für Europäische Wirtschaftsforschung (ZEW) - 2011

Persistent link: https://www.econbiz.de/10008869216

Asymmetric time aggregation and its potential benefits for forecasting annual data

Kunst, Robert M.; Franses, Philip Hans - 2010

For many economic time-series variables that are observed regularly and frequently, for example weekly, the underlying activity is not distributed uniformly across the year. For the aim of predicting annual data, one may consider temporal aggregation into larger subannual units based on an...

Persistent link: https://www.econbiz.de/10010294045

Forecasting aggregate demand in West African economies: The influence of immigrant remittance flows and of asymmetric error correction

Jumah, Adusei; Kunst, Robert M. - 2005

on predictive accuracy of aggregate demand in a systematic way. The results of the prediction experiments are compared to …

Persistent link: https://www.econbiz.de/10010330133

Use of neural networks to accommodate seasonal fluctuations when equalizing time series for the CZK/RMB exchange rate

Rowland, Zuzana - In: Risks 9 (2021) 1, pp. 1-21

The global nature of the Czech economy means that quantitative knowledge of the influence of the exchange rate provides useful information for all participants in the international economy. Systematic and academic research show that the issue of estimating the Czech crown/Chinese yuan exchange...

Persistent link: https://www.econbiz.de/10013200671

A better measure of relative prediction accuracy for model selection and model estimation

Tofallis, Christopher - In: Journal of the Operational Research Society : OR 66 (2015) 8, pp. 1352-1362

Persistent link: https://www.econbiz.de/10011417204

Backward-in-time selection of the order of dynamic regression prediction model

Vlachos, Ioannis; Kugiumtzis, Dimitris - In: Journal of forecasting 32 (2013) 8, pp. 685-701

Persistent link: https://www.econbiz.de/10010344464

Use of neural networks to accommodate seasonal fluctuations when equalizing time series for the CZK/RMB exchange rate

Rowland, Zuzana; Lazaroiu, Gheorghe; Podhorská, Ivana - In: Risks : open access journal 9 (2021) 1/1, pp. 1-21

Persistent link: https://www.econbiz.de/10012422880

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