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~subject:"Markov Chain Monte Carlo"
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Markov Chain Monte Carlo
Polar coordinates
11
polar coordinates
10
GARCH
7
Markov chain Monte Carlo
7
ill-behaved posterior
7
simulation
7
Ill-behaved surfaces
6
Markov Chain Monte Carlo sampling
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Theorie
5
Value-at-Risk
5
Theory
3
(p, q)-arc length
2
(p, q)-generalized Box–Muller simulation method
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(p, q)-generalized polar coordinates
2
(p, q)-spherical uniform distribution
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Gauss-exponential distribution
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Gauss–Laplace distribution
2
Importance sampling
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JIVE
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Markov chain
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Markov-Kette
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Monte Carlo simulation
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Monte-Carlo-Simulation
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Sampling
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Stichprobenerhebung
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Stichprobenverfahren
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dynamic geometric disintegration
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dynamic intersection proportion function
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geometricmeasure representation
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instrumental variables
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moments
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simultaneous equations
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stochastic vector representation
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value-at-risk
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ARCH model
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ARCH-Modell
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Bubble plot
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Capital income
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Bauwens, L.
1
Bauwens, Luc
1
Bos, C.S.
1
Bos, Charles
1
Dijk, H.K. van
1
van Dijk, Herman K.
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Erasmus University Rotterdam, Econometric Institute
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Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam
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Econometric Institute Report
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RePEc
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Adaptive Polar Sampling with an Application to a Bayes Measure of Value-at-Risk
Bauwens, Luc
;
Bos, Charles
;
van Dijk, Herman K.
-
Faculteit der Economische Wetenschappen, Erasmus …
-
1999
transformation to
polar
coordinates
are used. After the transformation to
polar
coordinates
, a Metropolis-Hastings algorithm is …
Persistent link: https://www.econbiz.de/10010731811
Saved in:
2
Adaptive Polar Sampling with an Application to a Bayes Measure of Value-at-Risk
Bauwens, L.
;
Bos, C.S.
;
Dijk, H.K. van
-
Erasmus University Rotterdam, Econometric Institute
-
1999
transformation to
polar
coordinates
are used. After the transformation to
polar
coordinates
, a Metropolis-Hastings algorithm is …
Persistent link: https://www.econbiz.de/10005051715
Saved in:
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