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~isPartOf:"Discussion papers / CEPR"
~isPartOf:"International journal of forecasting"
~isPartOf:"Journal of business & economic statistics : JBES ; a publication of the American Statistical Association"
~isPartOf:"Tourism economics : the business and finance of tourism and recreation"
~person:"Chan, Joshua"
~subject:"Neuronale Netze"
~subject:"Regression analysis"
~subject:"State space model"
~subject:"Time series analysis"
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Chan, Joshua
Marcellino, Massimiliano
22
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16
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11
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9
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Discussion papers / CEPR
International journal of forecasting
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
Tourism economics : the business and finance of tourism and recreation
CAMA working paper series
12
CAMA Working Paper
2
Journal of applied econometrics
2
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1
Large hybrid time-varying parameter VARs
Chan, Joshua
- In:
Journal of business & economic statistics : JBES ; a …
41
(
2023
)
3
,
pp. 890-905
Persistent link: https://www.econbiz.de/10014448455
Saved in:
2
Stochastic volatility models with ARMA innovations : an application to G7 inflation forecasts
Zhang, Bo
;
Chan, Joshua
;
Cross, Jamie
- In:
International journal of forecasting
36
(
2020
)
4
,
pp. 1318-1328
Persistent link: https://www.econbiz.de/10012546706
Saved in:
3
Minnesota-type adaptive hierarchical priors for large Bayesian VARs
Chan, Joshua
- In:
International journal of forecasting
37
(
2021
)
3
,
pp. 1212-1226
Persistent link: https://www.econbiz.de/10012794844
Saved in:
4
Large Bayesian VARs : a flexible Kronecker error covariance structure
Chan, Joshua
- In:
Journal of business & economic statistics : JBES ; a …
38
(
2020
)
1
,
pp. 68-79
Persistent link: https://www.econbiz.de/10012179513
Saved in:
5
The stochastic volatility in mean model with time-varying parameters : an application to inflation modeling
Chan, Joshua
- In:
Journal of business & economic statistics : JBES ; a …
35
(
2017
)
1
,
pp. 17-28
Persistent link: https://www.econbiz.de/10011704092
Saved in:
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