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BAYESIAN INFERENCE BASED ONLY...
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Time series analysis
Theorie
62
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61
Estimation theory
57
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57
Volatility
50
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45
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42
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stochastic volatility
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Shephard, Neil G.
39
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7
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5
Shephard, Neil
5
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4
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4
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3
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2
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2
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2
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2
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1
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1
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1
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1
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1
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1
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1
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Conference State Space and Unobserved Component Models <2002, Amsterdam>
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Economics discussion papers
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Stochastic volatility : selected readings
Shephard, Neil G.
(
contributor
);
Shephard, Neil G.
(
ed.
)
-
2005
Persistent link: https://www.econbiz.de/10001718768
Saved in:
2
Statistical aspects of ARCH and stochastic volatility
Shephard, Neil G.
- In:
Time series models : in econometrics, finance and other …
,
(pp. 1-67)
.
1996
Persistent link: https://www.econbiz.de/10001319937
Saved in:
3
Martingale unobserved component models
Shephard, Neil G.
-
2013
Persistent link: https://www.econbiz.de/10009747434
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4
Martingale unobserved component models
Shephard, Neil G.
-
2013
Persistent link: https://www.econbiz.de/10009732804
Saved in:
5
Statistical algorithms for models in state space using SsfPack 2.2
Koopman, Siem Jan
;
Shephard, Neil G.
;
Doornik, Jurgen A.
- In:
The econometrics journal
2
(
1999
)
1
,
pp. 107-160
Persistent link: https://www.econbiz.de/10001449270
Saved in:
6
Exact score for time series models in state space form
Koopman, Siem Jan
;
Shephard, Neil G.
-
1992
Persistent link: https://www.econbiz.de/10000837992
Saved in:
7
Deletion diagnostics and transformations for time series
Atkinson, Anthony C.
;
Shephard, Neil G.
-
1992
Persistent link: https://www.econbiz.de/10000839002
Saved in:
8
A local scale model : an unobserved component alternative to integrated garch processes
Shephard, Neil G.
-
1990
Persistent link: https://www.econbiz.de/10000804115
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9
Deletion diagnostics for transformations of time series
Atkinson, Anthony C.
- In:
Journal of forecasting
15
(
1996
)
1
,
pp. 1-17
Persistent link: https://www.econbiz.de/10001191686
Saved in:
10
Multivariate stochastic variance models
Harvey, Andrew C.
- In:
The review of economic studies
61
(
1994
)
2
,
pp. 247-264
Persistent link: https://www.econbiz.de/10001160740
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