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Poisson weighted Ishita distribution : model for analysis of over-dispersed medical count data
Para, Bilal Ahmad; Jan, Tariq Rashid - In: Statistics in transition : an international journal of … 21 (2020) 3, pp. 171-184
Carlo simulation procedure to examine the suitability of the ML estimators. In order to verify the applicability of the …
Persistent link: https://www.econbiz.de/10012291678
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Empirical dynamic programming
Haskell, William B.; Jain, Rahul; Kalathil, Dileep - In: Mathematics of operations research 41 (2016) 2, pp. 402-429
Persistent link: https://www.econbiz.de/10011520433
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A risk-sensitive approach for stressed transition probability matrixes
Perilioglu, Ahmet; Perilioglu, Karina; Tuysuz, Sukriye - In: The journal of risk model validation 12 (2018) 3, pp. 51-74
Persistent link: https://www.econbiz.de/10011991970
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Chapter 1 Bayesian Forecasting
Geweke, John; Whiteman, Charles - 2006
Bayesian forecasting is a natural product of a Bayesian approach to inference. The Bayesian approach in general requires explicit formulation of a model, and conditioning on known quantities, in order to draw inferences about unknown ones. In Bayesian forecasting, one simply takes a subset of...
Persistent link: https://www.econbiz.de/10014023705
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Robust simulation with likelihood-ratio constrained input uncertainty
Hu, Zhaolin; Hong, L. Jeff - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 4, pp. 2350-2367
Persistent link: https://www.econbiz.de/10013362754
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Stochastic decision tree acceptability analysis with uncertain state probability
Song, Shiling; Xia, Qiong; Yang, Feng; Zhang, Xiaoqi - In: Journal of the Operational Research Society 74 (2023) 3, pp. 944-955
Persistent link: https://www.econbiz.de/10014332263
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The generation of synthetic data for risk modelling
Hurst, James; Mayorov, Kirill; Tatsinkou, Joseph … - In: Journal of risk management in financial institutions 15 (2021/2022) 3, pp. 260-269
Persistent link: https://www.econbiz.de/10013391978
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Risk estimation via regression
Broadie, Mark; Du, Yiping; Moallemi, Ciamac C. - In: Operations research 63 (2015) 5, pp. 1077-1097
Persistent link: https://www.econbiz.de/10011397803
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Decomposing portfolio value-at-risk : a general analysis
Hallerbach, Winfried G. - 1999 - This rev.: May 10, 1999
the underlying statistical distributions, a variety of analyticalmethods and simulation-based methods are available. Aside … orhistorical and Monte Carlo simulation methods. Although these approaches to overall VaR estimation have receivedsubstantial … and incremental VaR in either a non-normal analytical setting or a MonteCarlo / historical simulation context.This paper …
Persistent link: https://www.econbiz.de/10011301159
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The finite sample performance of semi- and nonparametric estimators for treatment effects and policy evaluation
Frölich, Markus; Huber, Martin; Wiesenfarth, Manuel - 2015
Persistent link: https://www.econbiz.de/10011302461