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Monte Carlo simulation
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1
Convergence of Markov chain Monte Carlo algorithms
Polson, Nicholas G.
-
1993
Persistent link: https://www.econbiz.de/10000899197
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2
Modeling the conditional distribution of daily stock index returns : an alternative Bayesian semiparametric model
Kalli, Maria
;
Walker, Stephen G.
;
Damien, Paul
- In:
Journal of business & economic statistics : JBES ; a …
31
(
2013
)
4
,
pp. 371-383
Persistent link: https://www.econbiz.de/10010337864
Saved in:
3
Bayesian failure-rate modeling and preventive maintenance optimization
Belyi, Dmitriy
;
Popova, Elmira
;
Morton, David P.
; …
- In:
European journal of operational research : EJOR
262
(
2017
)
3
,
pp. 1085-1093
Persistent link: https://www.econbiz.de/10011802470
Saved in:
4
Bayesian estimation of electricity price risk with a multi-factor mixture of densities
Kang, Li
;
Walker, Stephen G.
;
Damien, Paul
;
Bunn, Derek W.
- In:
Quantitative finance
22
(
2022
)
8
,
pp. 1535-1544
Persistent link: https://www.econbiz.de/10013367927
Saved in:
5
Markov Chain Monte Carlo
Johannes, Michael
;
Polson, Nicholas G.
- In:
Handbook of financial time series
,
(pp. 1001-1013)
.
2009
Persistent link: https://www.econbiz.de/10003834286
Saved in:
6
MCMC methods for continuous-time financial econometrics
Johannes, Michael
;
Polson, Nicholas G.
-
2010
Persistent link: https://www.econbiz.de/10003900732
Saved in:
7
MCMC maximum likelihood for latent state models
Jacquier, Eric
;
Johannes, Michael
;
Polson, Nicholas G.
- In:
Journal of econometrics
137
(
2007
)
2
,
pp. 615-640
Persistent link: https://www.econbiz.de/10003442024
Saved in:
8
Augmented Markov chain Monte Carlo simulation for two-stage stochastic programs with recourse
Ekin, Tahir
;
Polson, Nicholas G.
;
Soyer, Refik
- In:
Decision analysis : a journal of the Institute for …
11
(
2014
)
4
,
pp. 250-264
Persistent link: https://www.econbiz.de/10010467454
Saved in:
9
Particle learning for fat-tailed distributions
Lopes, Hedibert Freitas
;
Polson, Nicholas G.
- In:
Econometric reviews
35
(
2016
)
8/10
,
pp. 1666-1691
Persistent link: https://www.econbiz.de/10011592384
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