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  • Search: subject:"Assignment algorithms"
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Year of publication
Subject
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Assignment algorithms 3 Dynamic microsimulation 3 Italy 3 Rank method 3 Unobserved heterogeneity 3 Validation 3 Female labor force participation 2 Algorithm 1 Algorithmus 1 Allocation 1 Allokation 1 Artificial intelligence 1 Dynamic programming 1 Dynamische Optimierung 1 Female labour force participation 1 Flüchtlinge 1 Künstliche Intelligenz 1 Matching 1 Mathematical programming 1 Mathematische Optimierung 1 OR Practice 1 Refugees 1 Scheduling problem 1 Scheduling-Verfahren 1 Stochastic process 1 Stochastischer Prozess 1 Theorie 1 Theory 1 dynamic assignment algorithms 1 load balancing 1 machine learning 1 refugee matching 1 stochastic programming 1
more ... less ...
Online availability
All
Free 3 Undetermined 1
Type of publication
All
Article 2 Book / Working Paper 2
Type of publication (narrower categories)
All
Article in journal 1 Aufsatz in Zeitschrift 1
Language
All
Undetermined 3 English 1
Author
All
Poggi, Ambra 3 Richiardi, Matteo 2 Bansak, Kirk 1 Paulson, Elisabeth 1 Richiardi, Matteo G. 1
Institution
All
Collegio Carlo Alberto, Università degli Studi di Torino 2
Published in...
All
Carlo Alberto Notebooks 1 International Journal of Microsimulation 1 LABORatorio R. Revelli Working Papers Series 1 Operations research 1
Source
All
RePEc 3 ECONIS (ZBW) 1
Showing 1 - 4 of 4
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Outcome-driven dynamic refugee assignment with allocation balancing
Bansak, Kirk; Paulson, Elisabeth - In: Operations research 72 (2024) 6, pp. 2375-2390
Persistent link: https://www.econbiz.de/10015371418
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Imputing Individual Effects in Dynamic Microsimulation Models. An application to household formation and labour market participation in Italy
Richiardi, Matteo; Poggi, Ambra - In: International Journal of Microsimulation 7 (2014) 2, pp. 3-39
Dynamic microsimulation modelling involves two stages: estimation and forecasting. Unobserved heterogeneity is often considered in estimation, but not in forecasting, beyond trivial cases. Non-trivial cases involve individuals that enter the simulation with a history of previous outcomes. We...
Persistent link: https://www.econbiz.de/10010960067
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Imputing Individual Effects in Dynamic Microsimulation Models. An application of the Rank Method
Richiardi, Matteo; Poggi, Ambra - Collegio Carlo Alberto, Università degli Studi di Torino - 2012
Dynamic microsimulation modeling involves two stages: estimation and forecasting. Unobserved heterogeneity is often considered in estimation, but not in forecasting, beyond trivial cases. Non-trivial cases involve individuals that enter the simulation with a history of previous outcomes. We show...
Persistent link: https://www.econbiz.de/10010583573
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Cover Image
Imputing Individual Effects in Dynamic Microsimulation Models.An application of the Rank Method.
Poggi, Ambra; Richiardi, Matteo G. - Collegio Carlo Alberto, Università degli Studi di Torino - 2012
Dynamic microsimulation modeling involves two stages: estimation and forecasting. Unobserved heterogeneity is often considered in estimation, but not in forecasting, beyond trivial cases. Non-trivial cases involve individuals that enter the simulation with a history of previous outcomes. We show...
Persistent link: https://www.econbiz.de/10010592671
Saved in:
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