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Bayesian inference
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International journal of forecasting
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ECONIS (ZBW)
1,664
RePEc
6
EconStor
2
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1
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1
Bayesian factor model shrinkage for linear IV regression with many instruments
Hahn, P. Richard
;
He, Jingyu
;
Lopes, Hedibert Freitas
- In:
Journal of business & economic statistics : JBES ; a …
36
(
2018
)
2
,
pp. 278-287
Persistent link: https://www.econbiz.de/10011894982
Saved in:
2
Chapter 8 Growth
Econometrics
Durlauf, Steven N.
;
Johnson, Paul A.
;
Temple, Jonathan R.W.
-
2005
econometrics
, the major statistical tools that have been employed to provide structural explanations for these facts, and the …
Persistent link: https://www.econbiz.de/10014023779
Saved in:
3
Bayesian factor-adjusted sparse regression
Fan, Jianqing
;
Jiang, Bai
;
Sun, Qiang
- In:
Journal of econometrics
230
(
2022
)
1
,
pp. 3-19
Persistent link: https://www.econbiz.de/10013441909
Saved in:
4
Posterior consistency in conditional density estimation by covariate dependent mixtures
Norets, Andriy
;
Pelenis, Justinas
-
2011
Persistent link: https://www.econbiz.de/10009504190
Saved in:
5
Growth
econometrics
for agnostics and true believers
Rockey, James
;
Temple, Jonathan
-
2015
Persistent link: https://www.econbiz.de/10010531110
Saved in:
6
Posterior consistency in conditional density estimation by covariate dependent mixtures
Norets, Andriy
;
Pelenis, Justinas
-
2011
This paper considers Bayesian nonparametric estimation of conditional densities by countable mixtures of location-scale densities with covariate dependent mixing probabilities. The mixing probabilities are modeled in two ways. First, we consider finite covariate dependent mixture models, in...
Persistent link: https://www.econbiz.de/10009685479
Saved in:
7
Geographically weighted regression analysis for spatial economics data : a Bayesian recourse
Ma, Zhihua
;
Xue, Yishu
;
Hu, Guanyu
- In:
International regional science review : IRSR ; an …
44
(
2021
)
5
,
pp. 582-604
Persistent link: https://www.econbiz.de/10012609938
Saved in:
8
Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modelling
Jeljazkov, Ivan G.
(
ed.
);
Tobias, Justin L.
(
ed.
)
-
2019
Persistent link: https://www.econbiz.de/10012163554
Saved in:
9
Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modelling ; Part B
2019
-
First edition
Persistent link: https://www.econbiz.de/10012163560
Saved in:
10
Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and flexible Modeling : Part A
Jeljazkov, Ivan G.
(
ed.
);
Tobias, Justin L.
(
ed.
)
-
2019
-
First edition
Volume 40 in the Advances in
Econometrics
series features twenty-three chapters that are split thematically into two … researchers in
econometrics
, this volume includes the most up-to-date research across a wide range of topics. …
Persistent link: https://www.econbiz.de/10012121434
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