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Bayesian reinforcement learning with MCMC to maximize energy output of vertical axis wind turbine
Mühendislik ve Fen Bilimleri Enstitüsü, Sabancı Üniversitesi, 2019
ARDA AĞABABAOĞLU
Ahmet Onat Thesis Post Graduate Completed
Bayesian estimation of stochastic tail index from high-frequency financial data
Springer Science and Business Media LLC, Vol. 61, No. 5, Kasım 2020, ISSN: 0377-7332
DOĞAN OSMAN, TAŞPINAR SÜLEYMAN, BERA ANİL K.
Osman Doğan Article Stochastic tail index models Stochastic volatility models Extreme values Extreme value theory Tail index Bayesian inference MCMC DIC High-frequency data
A Bayesian robust chi-squared test for testing simple hypotheses
Elsevier BV, Vol. 222, No. 2, Haziran 2021, ISSN: 0304-4076
DOĞAN OSMAN, TAŞPINAR SÜLEYMAN, BERA ANİL K.
Osman Doğan Article Decision theory Chi-squared test LM test Robust LM test Bayesian inference MCMC
Spatial autoregressive models with unknown heteroskedasticity: A comparison of Bayesian and robust GMM approach
Elsevier BV, Vol. 45, Mart 2014, ISSN: 0166-0462
DOĞAN OSMAN, TAŞPINAR SÜLEYMAN
Osman Doğan Article Spatial autoregressive models Unknown heteroskedasticity Robustness GMM Asymptotics MLE Markov Chain Monte Carlo (MCMC)
Observed-data DIC for spatial panel data models
Springer Science and Business Media LLC, Ağustos 2022, s. 34, ISSN: 0377-7332
YANG YE, DOĞAN OSMAN, TAŞPINAR SÜLEYMAN
Osman Doğan Article Spatial panel data models Bayesian inference MCMC Deviance information criterion DIC Bayesian model comparison Model selection
Bayesian reinforcement learning with MCMC to maximize energy output in hardware-in-the-loop simulations of vertical axis wind turbine
Mühendislik ve Fen Bilimleri Enstitüsü, Sabancı Üniversitesi, 2021
USAMAH YAASEEN OSMAN
Ahmet Onat Thesis Post Graduate Completed

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