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Journal of econometrics
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Sequentially adaptive Bayesian learning algorithms for inference and optimization
Geweke, John
;
Durham, Garland
- In:
Journal of econometrics
210
(
2019
)
1
,
pp. 4-25
Persistent link: https://www.econbiz.de/10012303357
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2
Nonparametric Bayesian modelling of monotone preferences for discrete choice experiments
Geweke, John
- In:
Journal of econometrics
171
(
2012
)
2
,
pp. 185-204
Persistent link: https://www.econbiz.de/10009691161
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3
Testing the exogeneity specification in the complete dynamic simultaneous equation model
Geweke, John
- In:
Journal of econometrics
7
(
1978
)
2
,
pp. 163-185
Persistent link: https://www.econbiz.de/10002420250
Saved in:
4
Econometric issues in using the AHEAD panel
Geweke, John
- In:
Journal of econometrics
112
(
2003
)
1
,
pp. 115-120
Persistent link: https://www.econbiz.de/10001715860
Saved in:
5
Bayesian econometrics and forecasting
Geweke, John
- In:
Journal of econometrics
100
(
2001
)
1
,
pp. 11-15
Persistent link: https://www.econbiz.de/10001546129
Saved in:
6
Smoothly mixing regressiones
Geweke, John
;
Keane, Michael P.
- In:
Journal of econometrics
138
(
2007
)
1
,
pp. 252-290
Persistent link: https://www.econbiz.de/10003451761
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7
Introduction for the annals issue of the Journal of econometrics on "Bayesian models, methods and applications"
Geweke, John
;
Koop, Gary
;
Paap, Richard
- In:
Journal of econometrics
171
(
2012
)
2
,
pp. 99-100
Persistent link: https://www.econbiz.de/10009691177
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8
Bayesian models, methods and applications
Geweke, John
(
contributor
);
Koop, Gary
(
contributor
); …
-
2012
Persistent link: https://www.econbiz.de/10009691276
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9
Likelihood-based inference for regular functions with fractional polynomial approximations
Geweke, John
;
Petrella, Lea
- In:
Journal of econometrics
183
(
2014
)
1
,
pp. 22-30
Persistent link: https://www.econbiz.de/10010506095
Saved in:
10
Optimal prediction pools
Geweke, John
;
Amisano, Gianni
- In:
Journal of econometrics
164
(
2011
)
1
,
pp. 130-141
Persistent link: https://www.econbiz.de/10009270394
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