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isPartOf:"Applying maximum entropy to econometric problems"
subject:"Monte Carlo simulation"
~isPartOf:"Operations research"
~subject:"Maximum-Likelihood-Schätzung"
~subject:"Stochastic process"
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Monte Carlo simulation
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Estimation theory
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Fu, Michael
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Applying maximum entropy to econometric problems
Operations research
Journal of econometrics
169
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
61
Economics letters
57
Discussion paper / Tinbergen Institute
51
Econometric reviews
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Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria
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Série des documents de travail / Centre de Recherche en Économie et Statistique
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17
Cowles Foundation discussion paper
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Working paper / Department of Econometrics and Business Statistics, Monash University
17
Working paper / National Bureau of Economic Research, Inc.
17
Discussion paper / Humboldt-Universität zu Berlin, Sonderforschungsbereich 373 Quantifikation und Simulation Ökonomischer Prozesse
15
Journal of risk and financial management : JRFM
15
NBER working paper series
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Quantitative economics : QE ; journal of the Econometric Society
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Statistics in transition : an international journal of the Polish Statistical Association
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Discussion papers of interdisciplinary research project 373
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Risks : open access journal
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Journal of financial econometrics : official journal of the Society for Financial Econometrics
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1
High-order steady-state diffusion approximations
Braverman, Anton
;
Dai, J. G.
;
Fang, Xiao
- In:
Operations research
72
(
2024
)
2
,
pp. 604-616
Persistent link: https://www.econbiz.de/10014520812
Saved in:
2
Accelerated MM algorithms for inference of ranking scores from comparison data
Vojnović, Milan
;
Yun, Se-Young
;
Zhou, Kaifang
- In:
Operations research
71
(
2023
)
4
,
pp. 1318-1342
Persistent link: https://www.econbiz.de/10014338197
Saved in:
3
Enhanced balancing of bias-variance tradeoff in stochastic estimation : a minimax perspective
Lam, Henry
;
Zhang, Xinyu
;
Zhang, Xuhui
- In:
Operations research
71
(
2023
)
6
,
pp. 2352-2373
Persistent link: https://www.econbiz.de/10014445044
Saved in:
4
Stability and sample-based approximations of composite stochastic optimization problems
Dentcheva, Darinka
;
Lin, Yang
;
Penev, Spiridon
- In:
Operations research
71
(
2023
)
5
,
pp. 1871-1888
Persistent link: https://www.econbiz.de/10014393285
Saved in:
5
Distributionally robust inverse covariance estimation : the Wasserstein shrinkage estimator
Viet Anh Nguyen
;
Kuhn, Daniel
;
Mohajerin Esfahani, Peyman
- In:
Operations research
70
(
2022
)
1
,
pp. 490-515
Persistent link: https://www.econbiz.de/10012820667
Saved in:
6
Credit risk : simple closed-form approximate maximum likelihood estimator
Deo, Anand
;
Juneja, Sandeep
- In:
Operations research
69
(
2021
)
2
,
pp. 361-379
Persistent link: https://www.econbiz.de/10012533534
Saved in:
7
Heteroscedastic exponomial choice
Alptekinoğlu, Aydın
;
Semple, John H.
- In:
Operations research
69
(
2021
)
3
,
pp. 841-858
Persistent link: https://www.econbiz.de/10012546887
Saved in:
8
Computation of exact bootstrap confidence intervals : complexity and deterministic algorithms
Bertsimas, Dimitris
;
Sturt, Bradley
- In:
Operations research
68
(
2020
)
3
,
pp. 949-964
Persistent link: https://www.econbiz.de/10012234527
Saved in:
9
Maximum likelihood estimation by Monte Carlo simulation : toward data-driven stochastic modeling
Peng, Yijie
;
Fu, Michael
;
Heidergott, Bernd
;
Lam, Henry
- In:
Operations research
68
(
2020
)
6
,
pp. 1896-1912
Persistent link: https://www.econbiz.de/10012392175
Saved in:
10
Divide and conquer : recursive likelihood function integration for hidden Markov models with continuous latent variables
Reich, Gregor
- In:
Operations research
66
(
2018
)
6
,
pp. 1457-1470
Persistent link: https://www.econbiz.de/10011971637
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