Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Mehmet Ali Cengiz"'
Publikováno v:
Journal of Mathematics, Vol 2024 (2024)
Both frequentist and Bayesian statistics schools have improved statistical tools and model choices for the collected data or measurements. Model selection approaches have advanced due to the difficulty of comparing complicated hierarchical models in
Externí odkaz:
https://doaj.org/article/87eacc8286cc4c23bf4c7cdb8eae8927
Publikováno v:
Heliyon, Vol 9, Iss 9, Pp e19964- (2023)
Multivariate Adaptive Regression Splines (MARS) is a useful non-parametric regression analysis method that can be used for model selection in high-dimensional data. Since MARS can identify and model complex, non-linear relationships between the depen
Externí odkaz:
https://doaj.org/article/dc7f8ee986ec49fb80d0d62192c5c0dc
Publikováno v:
Journal of Mathematics, Vol 2023 (2023)
In the past two decades, stochastic frontier analysis (SFA) has been extensively employed to assess energy efficiency. However, the use of the Bayesian approach in SFA for energy performance evaluation has not received significant attention. This stu
Externí odkaz:
https://doaj.org/article/8ac3944b202c41b7afc4bb6f4e2637d4
Predicting Verbal Learning and Memory Assessments of Older Adults Using Bayesian Hierarchical Models
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Verbal learning and memory summaries of older adults have usually been used to describe neuropsychiatric complaints. Bayesian hierarchical models are modern and appropriate approaches for predicting repeated measures data where information exchangeab
Externí odkaz:
https://doaj.org/article/2ee1961135e5437fb6dd2f08ee3dc192
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2022 (2022)
Risk estimation is of great importance in financial risk management. In this study, the risk estimation of the exchange rate portfolio is performed via the stochastic copula approach. This model-based latent process has a parameter that changes over
Externí odkaz:
https://doaj.org/article/4f9e6c79f54040f2a7645fe47cf730ff
Publikováno v:
Computational and Mathematical Methods in Medicine. 2022:1-13
Diagnosis of a disease is one of the most important processes in the field of medicine. Thus, computer-aided detection systems are becoming increasingly important to assist physicians. The iron deficiency anemia (IDA) is a serious health problem that
Autor:
SELIN CEREN TURAN, MEHMET ALI CENGIZ
Publikováno v:
Journal of Science and Arts. 22:459-470
Artificial intelligence is a method that is increasingly becoming widespread in all areas of life and enables machines to imitate human behavior. Machine learning is a subset of artificial intelligence techniques that use statistical methods to enabl
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-9
Publikováno v:
Issue: 37 58-67
Journal of New Theory
Journal of New Theory
Cities have proliferated and experienced increasing environmental issues in the modern world. The concept of environmental sustainability is one of the main problems to solve. Therefore, it is fundamental to establish statistical methods to measure e
Autor:
Mervenur Sözen, Mehmet Ali Cengiz
Publikováno v:
Asia-Pacific Journal of Operational Research. 39
Data envelopment analysis (DEA) is a method that finds the effectiveness of an existing system using a number of input and output variables. In this study, we obtained energy efficiencies of construction, industrial, power, and transportation sectors