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  • Search: subject:"non-Gaussian state space modeling"
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Year of publication
Subject
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binomial time series 4 continuous time modelling 4 non-Gaussian state space modeling 4 nonlinear panel data model 4 recidivism behavior 4 Zeitreihenanalyse 2 Zustandsraummodell 2 Monte Carlo simulation 1 Monte-Carlo-Methode 1 Monte-Carlo-Simulation 1 Panel 1 Panel study 1 Panelforschung 1 State space model 1 Stochastic process 1 Stochastischer Prozess 1 Theorie 1 Theory 1 Time series analysis 1
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Online availability
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Free 4
Type of publication
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Book / Working Paper 4
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
All
English 2 Undetermined 2
Author
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Koopman, Siem Jan 4 Lucas, André 4 Ooms, Marius 4 Montfort, Kees van 3 Geest, Victor van der 2 Geest, Victor René van der 1 van Montfort, Kees 1 van der Geest, Victor 1
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Institution
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Tinbergen Institute 1 Tinbergen Instituut 1
Published in...
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Tinbergen Institute Discussion Papers 2 Discussion paper / Tinbergen Institute 1 Tinbergen Institute Discussion Paper 1
Source
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RePEc 2 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 4 of 4
Cover Image
Estimating Systematic Continuous-time Trends in Recidivism using a Non-Gaussian Panel Data Model
Koopman, Siem Jan; Lucas, André; Ooms, Marius; van … - 2007
We model panel data of crime careers of juveniles from a Dutch Judicial Juvenile Institution. The data are decomposed into a systematic and an individual-specific component, of which the systematic component reflects the general time-varying conditions including the criminological climate....
Persistent link: https://www.econbiz.de/10010325431
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Estimating Systematic Continuous-time Trends in Recidivism using a Non-Gaussian Panel Data Model
Koopman, Siem Jan; Lucas, André; Ooms, Marius; … - Tinbergen Instituut - 2007
This discussion paper led to an article in the <I>Statistica Neerlandica</I> (2008). Vol. 62, issue 1, pages 104-130.<P> We model panel data of crime careers of juveniles from a Dutch Judicial Juvenile Institution. The data are decomposed into a systematic and an individual-specific component, of which...</p></i>
Persistent link: https://www.econbiz.de/10011256683
Saved in:
Cover Image
Estimating Systematic Continuous-time Trends in Recidivism using a Non-Gaussian Panel Data Model
Koopman, Siem Jan; Lucas, André; Ooms, Marius; … - Tinbergen Institute - 2007
We model panel data of crime careers of juveniles from a Dutch Judicial Juvenile Institution. The data are decomposed into a systematic and an individual-specific component, of which the systematic component reflects the general time-varying conditions including the criminological climate....
Persistent link: https://www.econbiz.de/10005144538
Saved in:
Cover Image
Estimating systematic continuous-time trends in recidivism using a non-Gaussian panel data model
Koopman, Siem Jan; Lucas, André; Ooms, Marius; … - 2007
We model panel data of crime careers of juveniles from a Dutch Judicial Juvenile Institution. The data are decomposed into a systematic and an individual-specific component, of which the systematic component reflects the general time-varying conditions including the criminological climate....
Persistent link: https://www.econbiz.de/10011372520
Saved in:
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