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subject:"Deutschland"
subject:"Forecasting model"
~isPartOf:"Discussion papers / CEPR"
~isPartOf:"Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet"
~person:"Koop, Gary"
~person:"Pesaran, M. Hashem"
~subject:"Bayes-Statistik"
~subject:"Regression analysis"
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Search: subject_exact:"Estimation theory"
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Deutschland
Forecasting model
Bayes-Statistik
Regression analysis
Estimation theory
3
Schätztheorie
3
Bayesian inference
2
Estimation
2
Regressionsanalyse
2
Schätzung
2
Bayesian estimation
1
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1
Economic forecast
1
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dynamic shrinkage prior
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regression trees
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savage dickey density ratio
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scalable Markov Chain Monte Carlo
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spillovers
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structural identification
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time-varying parameter regression
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vector autoregressive moving average models
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Koop, Gary
Pesaran, M. Hashem
Marcellino, Massimiliano
5
Schorfheide, Frank
4
Clark, Todd E.
3
Mlikota, Marko
3
Carriero, Andrea
2
Dendramis, Yiannis
2
Fernández-Villaverde, Jesús
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Huber, Florian
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Sentana, Enrique
2
Abbara, Omar
1
Acharya, Sushant
1
Amengual, Dante
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Atems, Bebonchu
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Discussion papers / CEPR
Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet
CESifo working papers
8
Strathclyde discussion papers in economics
6
CESifo Working Paper
5
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3
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ECONIS (ZBW)
3
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1
Dynamic shrinkage priors for large time-varying parameter regressions using scalable Markov chain Monte Carlo methods
Hauzenberger, Niko
;
Huber, Florian
;
Koop, Gary
- In:
Studies in nonlinear dynamics and econometrics : SNDE ; …
28
(
2024
)
2
,
pp. 201-225
Persistent link: https://www.econbiz.de/10014631913
Saved in:
2
Investigating growth-at-risk using a multicountry non-parametric quantile factor model
Clark, Todd E.
;
Huber, Florian
;
Koop, Gary
;
Marcellino, …
-
2023
Persistent link: https://www.econbiz.de/10014384414
Saved in:
3
Choosing between identification schemes in noisy-news models
Chan, Joshua
;
Eisenstat, Eric
;
Koop, Gary
- In:
Studies in nonlinear dynamics and econometrics : SNDE ; …
26
(
2022
)
1
,
pp. 99-136
Persistent link: https://www.econbiz.de/10013334632
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