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~subject:"Generalized linear model"
~subject:"Maximum-Likelihood-Schätzung"
~type_genre:"Aufsatz in Zeitschrift"
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Liesenfeld, Roman
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1
The Gibbs sampler with particle efficient importance sampling for state-space models
Grothe, Oliver
;
Kleppe, Tore Selland
;
Liesenfeld, Roman
- In:
Econometric reviews
38
(
2019
)
10
,
pp. 1152-1175
Persistent link: https://www.econbiz.de/10012181399
Saved in:
2
Likelihood-based inference and prediction in spatio-temporal panel count models for urban crimes
Liesenfeld, Roman
;
Richard, Jean-François
;
Vogler, Jan
- In:
Journal of applied econometrics
32
(
2017
)
3
,
pp. 600-620
Persistent link: https://www.econbiz.de/10011694767
Saved in:
3
Classical and Bayesian analysis of unvariate and multivariate stochastic volatility models
Liesenfeld, Roman
;
Richard, Jean-François
- In:
Econometric reviews
25
(
2006
)
2/3
,
pp. 335-360
Persistent link: https://www.econbiz.de/10003355771
Saved in:
4
Modelling financial transaction price movements : a dynamic integer count data model
Liesenfeld, Roman
;
Nolte, Ingmar
;
Pohlmeier, Winfried
- In:
Empirical economics : a journal of the Institute for …
30
(
2005
)
4
,
pp. 795-825
Persistent link: https://www.econbiz.de/10003233759
Saved in:
5
Univariate and multivariate stochastic volatility models : estimation and diagnostics
Liesenfeld, Roman
;
Richard, Jean-François
- In:
Journal of empirical finance
10
(
2003
)
4
,
pp. 505-531
Persistent link: https://www.econbiz.de/10001782293
Saved in:
6
A generalized bivariate mixture model for stock price volatility and trading volume
Liesenfeld, Roman
- In:
Journal of econometrics
104
(
2001
)
1
,
pp. 141-178
Persistent link: https://www.econbiz.de/10001589531
Saved in:
7
Estimating time series models for count data using efficient importance sampling
Jung, Robert
;
Liesenfeld, Roman
- In:
Allgemeines statistisches Archiv : AStA ; journal of …
85
(
2001
)
4
,
pp. 387-407
Persistent link: https://www.econbiz.de/10001627138
Saved in:
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