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[Rezension von: Kim, Chang-jin, ...,, State space models with regime switching]
Forbes, Catherine Scipione
;
Shami, Roland G.
- In:
The economic record : er
76
(
2000
),
pp. 105
Persistent link: https://www.econbiz.de/10001466449
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2
A structural time series model with Markov switching
Shami, Roland G.
;
Forbes, Catherine Scipione
-
2000
Persistent link: https://www.econbiz.de/10001586617
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3
Bayesian analysis of the stochastic conditional duration model
Strickland, Chris M.
;
Forbes, Catherine Scipione
; …
-
2003
Persistent link: https://www.econbiz.de/10001854434
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4
Inference on self-exciting jumps in prices and volatility using high frequency measures
Maneesoonthorn, Worapree
;
Forbes, Catherine Scipione
; …
-
2013
Persistent link: https://www.econbiz.de/10010245443
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5
Parameterisation and efficient MCMC estimation of non-Gaussian state space models
Strickland, Chris
;
Martin, Gael M.
;
Forbes, Catherine …
-
2006
Persistent link: https://www.econbiz.de/10003433826
Saved in:
6
Inference on self-exciting jumps in prices and volatility using high-frequency measures
Maneesoonthorn, Worapree
;
Forbes, Catherine Scipione
; …
- In:
Journal of applied econometrics
32
(
2017
)
3
,
pp. 504-532
Persistent link: https://www.econbiz.de/10011694633
Saved in:
7
Inference on self-exciting jumps in prices and volatility using high frequency measures
Maneesoonthorn, Worapree
;
Forbes, Catherine Scipione
; …
-
2014
Persistent link: https://www.econbiz.de/10011781063
Saved in:
8
Inference on self-exciting jumps in prices and volatility using high frequency measures
Maneesoonthorn, Worapree
;
Forbes, Catherine Scipione
; …
-
2016
-
Revised 14, 30
Persistent link: https://www.econbiz.de/10011781663
Saved in:
9
Data-driven particle filters for Particle Markov Chain Monte Carlo
Leung, Patrick
;
Forbes, Catherine Scipione
;
Martin, Gael M.
-
2016
Persistent link: https://www.econbiz.de/10011781784
Saved in:
10
Dynamic asset price jumps and the performance of high frequency tests and measures
Maneesoonthorn, Worapree
;
Martin, Gael M.
;
Forbes, …
-
2017
Persistent link: https://www.econbiz.de/10011782238
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