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~isPartOf:"Applied economics letters"
~isPartOf:"Computational economics"
~isPartOf:"Discussion paper series / IZA"
~isPartOf:"International journal of production research"
~subject:"Bayesian inference"
~subject:"Monte Carlo method"
~subject:"Monte-Carlo-Simulation"
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Bayesian inference
Monte Carlo method
Monte-Carlo-Simulation
Bayes-Statistik
145
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131
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111
Theory
111
Estimation theory
63
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Tu, Yiliu
7
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6
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Tsung, Fugee
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2
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Applied economics letters
Computational economics
Discussion paper series / IZA
International journal of production research
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201
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169
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158
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135
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Marketing science : the marketing journal of the Institute for Operations Research and the Management Sciences
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ECONIS (ZBW)
261
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1
Nonparametric test for volatility in clustered multiple time series
Barrios, Erniel B.
;
Redondo, Paolo Victor T.
- In:
Computational economics
63
(
2024
)
2
,
pp. 861-876
Persistent link: https://www.econbiz.de/10014475068
Saved in:
2
Exploring uncertainty, sensitivity and robust solutions in mathematical programming through bayesian analysis
Tsionas, Efthymios G.
;
Philippas, Dionisis
;
Zopounidis, …
- In:
Computational economics
62
(
2023
)
1
,
pp. 205-227
Persistent link: https://www.econbiz.de/10014327494
Saved in:
3
Weighted-Average Least Squares (WALS) : confidence and prediction intervals
De Luca, Giuseppe
;
Magnus, Jan R.
;
Peracchi, Franco
- In:
Computational economics
61
(
2023
)
4
,
pp. 1637-1664
Persistent link: https://www.econbiz.de/10014327098
Saved in:
4
Quasi-Monte
Carlo
-based conditional Malliavin method for continuous-time Asian option Greeks
Yu, Chao
;
Wang, Xiaoqun
- In:
Computational economics
62
(
2023
)
1
,
pp. 325-360
Persistent link: https://www.econbiz.de/10014327500
Saved in:
5
An application of the IFM method for the risk assessment of financial instruments
Pons, Adrià
;
Cristobal-Fransi, Eduard
;
Vintrò, Carla
; …
- In:
Computational economics
61
(
2023
)
1
,
pp. 295-315
Persistent link: https://www.econbiz.de/10014228427
Saved in:
6
Analytic method for pricing vulnerable external barrier options
Kim, Donghyun
;
Yoon, Ji-Hun
- In:
Computational economics
61
(
2023
)
4
,
pp. 1561-1591
Persistent link: https://www.econbiz.de/10014327071
Saved in:
7
Recovering income distribution in the presence of interval-censored data
Canavire-Bacarreza, Gustavo
;
Rios-Avila, Fernando
; …
-
2023
applications to show the performance of the method. First, it runs a Monte
Carlo
simulation to show the method's performance under …
Persistent link: https://www.econbiz.de/10013541717
Saved in:
8
Bayesian estimation of agent-based models via adaptive particle Markov chain Monte
Carlo
Lux, Thomas
- In:
Computational economics
60
(
2022
)
2
,
pp. 451-477
Persistent link: https://www.econbiz.de/10013380785
Saved in:
9
Bayesian inference for mixed Gaussian GARCH-type model by Hamiltonian Monte
Carlo
algorithm
Liang, Rubing
;
Qin, Binbin
;
Xia, Qiang
- In:
Computational economics
63
(
2024
)
1
,
pp. 193-220
Persistent link: https://www.econbiz.de/10014472071
Saved in:
10
A neural network approach to value R&D compound american exchange option
Villani, Giovanni
- In:
Computational economics
60
(
2022
)
1
,
pp. 305-324
Persistent link: https://www.econbiz.de/10013262680
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