Yazar "OFLAZ, Zarina" için FAKÜLTELER listeleme
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Aggregate Claim Estimation Using Bivariate Hidden Markov Model
OFLAZ, Zarina; YOZGATLIGİL, Ceylan; SELÇUK KESTEL, Ayşe Sevtap (ASTIN Bulletin, 2018-11-29)In this paper, we propose an approach for modeling claim dependence, with the assumption that the claim numbers and the aggregate claim amounts are mutually and serially dependent through an underlying hidden state and can ... -
Estimation of Disease Progression for Ischemic Heart Disease using Latent Markov with covariates
OFLAZ, Zarina (24th International Conference on Computational Statistics, 2022-08)Contemporaneous monitoring of disease progression, in addition to early diagnosis, is important for the treatment of patients with chronic conditions. Chronic disease-related factors are not easily tractable, and the ... -
Modeling comorbidity of chronic diseases using coupled hidden Markov model with bivariate discrete copula
OFLAZ, Zarina; YOZGATLIGİL, Ceylan; KESTEL, Sevtap (Statistical Methods in Medical Research, 2023-02)A range of chronic diseases have a significant influence on each other and share common risk factors. Comorbidity, which shows the existence of two or more diseases interacting or triggering each other, is an important ... -
Publication Preview Source Estimation of disease progression for ischemic heart disease using latent Markov with covariates
OFLAZ, Zarina; YOZGATLIGİL, Ceylan; KESTEL, Sevtap (Statistical Analysis and Data Mining, 2022-06)Contemporaneous monitoring of disease progression, in addition to early diagnosis, is important for the treatment of patients with chronic conditions. Chronic disease‐related factors are not easily tractable, and the ... -
Structural Break, Nonlinearity and the Hysteresis hypothesis: Evidence from new unit root tests
OFLAZ, Zarina (Econometrics Letters, 2017)We have checked whether there exists hysteresis hypothesis in 25 OECD countries covering the period from September, 1983 to September,2013 by using the unit root test which includes nonlinearity and structural break in ... -
Time and volume-ratio effect on reusable polybenzoxazole nanofiber oil sorption capacity investigated via machine learning
OFLAZ, Kamil; OFLAZ, Zarina; ÖZAYTEKİN, İlkay; BASTUGAN, Rabia (Journal of Applied Polymer Science Wiley, 2021-03-18)Diesel oil sorption capacities (DOSCs) of polybenzoxazole/polyvinylidenefluoride nanofiber mats with four different groups (-O-, -S-S-, phenylene anddiphenylene) in the main chain structures were investigated. Different ...
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