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~person:"Lux, Thomas"
~person:"Yang, Kai"
~subject:"Estimation theory"
~type:"article"
~type_genre:"Aufsatz in Zeitschrift"
~type_genre:"Thesis"
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7
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Lux, Thomas
Yang, Kai
Lee, Lung-fei
25
Kelejian, Harry H.
8
Anselin, Luc
7
Bera, Anil K.
7
Lesage, James P.
7
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6
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5
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5
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4
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4
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4
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4
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4
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4
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4
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3
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3
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3
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Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet
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1
Bayesian estimation of agent-based models via adaptive particle Markov chain Monte Carlo
Lux, Thomas
- In:
Computational economics
60
(
2022
)
2
,
pp. 451-477
Persistent link: https://www.econbiz.de/10013380785
Saved in:
2
Approximate Bayesian inference for agent-based models in
economics
: a case study
Lux, Thomas
- In:
Studies in nonlinear dynamics and econometrics : SNDE ; …
27
(
2023
)
4
,
pp. 423-447
Persistent link: https://www.econbiz.de/10014372903
Saved in:
3
Estimation of dynamic panel spatial vector autoregression : stability and spatial multivariate cointegration
Yang, Kai
;
Lee, Lung-fei
- In:
Journal of econometrics
221
(
2021
)
2
,
pp. 337-367
Persistent link: https://www.econbiz.de/10012618869
Saved in:
4
Efficient GMM estimation of a spatial autoregressive model with an endogenous spatial weights matrix
Kong, Wei
;
Yang, Kai
- In:
Economics letters
208
(
2021
),
pp. 1-6
Persistent link: https://www.econbiz.de/10013207282
Saved in:
5
Estimation of sentiment effects in financial markets : a simulated method of moments approach
Chen, Zhenxi
;
Lux, Thomas
- In:
Computational economics
52
(
2018
)
3
,
pp. 711-744
Persistent link: https://www.econbiz.de/10012053041
Saved in:
6
Estimation of agent-based models using sequential Monte Carlo methods
Lux, Thomas
- In:
Journal of economic dynamics & control
91
(
2018
),
pp. 391-408
Persistent link: https://www.econbiz.de/10011974212
Saved in:
7
Identification and QML estimation of multivariate and simultaneous equations spatial autoregressive models
Yang, Kai
;
Lee, Lung-fei
- In:
Journal of econometrics
196
(
2017
)
1
,
pp. 196-214
Persistent link: https://www.econbiz.de/10011743798
Saved in:
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