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~accessRights:"free"
~isPartOf:"Discussion paper / Tinbergen Institute"
~isPartOf:"Discussion paper series / LSE Financial Markets Group"
~language:"eng"
~person:"Gautier, Pieter"
~person:"Gil-Alaña, Luis A."
~person:"Heckman, James J."
~person:"Hoogerheide, Lennart"
~person:"Klaassen, Franc"
~person:"Koopman, Siem Jan"
~person:"Teulings, Coen N."
~subject:"Bayes-Statistik"
~subject:"Business cycle"
~subject:"EU-Staaten"
~subject:"Kreditrisiko"
~subject:"Maximum-Likelihood-Schätzung"
~subject:"Schätzung"
~subject:"Simulation"
~subject:"Statistische Verteilung"
~subject:"USA"
~subject:"United States"
~subject:"Zustandsraummodell"
~type:"book"
~type_genre:"Graue Literatur"
~type_genre:"Handbuch"
~type_genre:"Non-commercial literature"
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Gautier, Pieter
Gil-Alaña, Luis A.
Heckman, James J.
Hoogerheide, Lennart
Klaassen, Franc
Koopman, Siem Jan
Teulings, Coen N.
Dijk, Herman K. van
40
Lucas, André
39
Bos, Charles S.
14
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13
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12
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11
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10
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8
Wijnbergen, Sweder van
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7
Creal, Drew
7
Ooms, Marius
7
Schwaab, Bernd
7
Ardia, David
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Grassi, Stefano
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Hoogerheide, Lennart F.
6
Mooij, Ruud A. de
6
Pozzi, Lorenzo
6
Ravazzolo, Francesco
6
Ridder, Ad
6
Scharth, Marcel
6
Wel, Michel van der
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Diks, Cees G. H.
5
Florax, Raymond J. G. M.
5
Gooijer, Jan G. de
5
Hommes, Cars H.
5
Kaynar, Bahar
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ECONIS (ZBW)
104
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51
Systemic risk diagnostics
Schwaab, Bernd
;
Lucas, André
;
Koopman, Siem Jan
-
2010
, and the rest of the
world
. Controlling for global,region-specific, and industry effects, we construct coincident measures …
Persistent link: https://www.econbiz.de/10011382067
Saved in:
52
A class of adaptive EM-based importance sampling algorithms for efficient and robust posterior and predictive simulation
Hoogerheide, Lennart
;
Opschoor, Anne
;
Dijk, Herman K. van
-
2011
A class of adaptive sampling methods is introduced for efficient posterior and predictive simulation. The proposed methods are robust in the sense that they can handle target distributions that exhibit non-elliptical shapes such as multimodality and skewness. The basic method makes use of...
Persistent link: https://www.econbiz.de/10011382695
Saved in:
53
Identifying the weights in exchange market pressure
Klaassen, Franc
-
2011
Exchange market pressure (EMP) measures the pressure on a currencyto depreciate. It adds to the actual depreciation a weightedcombination of policy instruments used to ward off depreciation,such as interest rates and foreign exchange interventions, where theweights are their effectiveness. The...
Persistent link: https://www.econbiz.de/10011383023
Saved in:
54
Identifying the weights in exchange market pressure
Klaassen, Franc
-
2011
Exchange market pressure (EMP) measures the pressure on a currency to depreciate. It adds to the actual depreciation a weighted combination of policy instruments used to ward off depreciation, such as interest rates and foreign exchange interventions, where the weights are their effectiveness....
Persistent link: https://www.econbiz.de/10011383120
Saved in:
55
Observation driven mixed-measurement dynamic factor models with an application to credit risk
Creal, Drew
;
Schwaab, Bernd
;
Koopman, Siem Jan
;
Lucas, …
-
2011
This paper has been accepted for publication in the 'Review of Economics and Statistics'.We propose a dynamic factor model for mixed-measurement and mixed-frequency panel data. In this framework time series observations may come from a range of families of parametric distributions, may be...
Persistent link: https://www.econbiz.de/10011383248
Saved in:
56
Numerically accelerated importance sampling for nonlinear non-Gaussian state space models
Koopman, Siem Jan
;
Lucas, André
;
Scharth, Marcel
-
2012
We introduce a new efficient importance sampler for nonlinear non-Gaussian state space models. We propose a general and efficient likelihood evaluation method for this class of models via the combination of numerical and Monte Carlo integration methods. Our methodology explores the idea that...
Persistent link: https://www.econbiz.de/10011386179
Saved in:
57
Modeling dynamic volatilities and correlations under skewness and fat tails
Zhang, Xin
;
Creal, Drew
;
Koopman, Siem Jan
;
Lucas, André
-
2011
We propose a new model for dynamic volatilities and correlations of skewed and heavy-tailed data. Our model endows the Generalized Hyperbolic distribution with time-varying parameters driven by the score of the observation density function. The key novelty in our approach is the fact that the...
Persistent link: https://www.econbiz.de/10011386468
Saved in:
58
Time series models with a common stochastic variance for analysing economic time series
Koopman, Siem Jan
;
Bos, Charles S.
-
2002
Persistent link: https://www.econbiz.de/10001718624
Saved in:
59
Business and default cycles for credit risk
Koopman, Siem Jan
;
Lucas, André
-
2003
Persistent link: https://www.econbiz.de/10001792714
Saved in:
60
Tracking growth and the business cycle : a stochastic common cycle model for the euro area
Azevedo, João Valle e
;
Koopman, Siem Jan
;
Rua, António
-
2003
Persistent link: https://www.econbiz.de/10001792789
Saved in:
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