The Use of Bayesian Techniques with Binary and Vector Data | ||||
| مجلة البحوث التجارية المعاصرة | ||||
| Article 5, Volume 37, Issue 4, December 2023, Page 107-122 PDF (690.45 K) | ||||
| Document Type: المقالة الأصلية | ||||
| DOI: 10.21608/sjcp.2023.347343 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Nahed talaat Abd El kareem* | ||||
| Applied Statistics, Benha University | ||||
| Abstract | ||||
| Bayesian methods are a powerful and flexible class of statistical techniques which can be used to solve a large number of problems, In this research, we discuss the use of the Bayesian method in classification problems with binary and vector data The following results were reached in this research, Bayesian methods are a powerful tool for classification problems with binary and vector data. These methods allow us to incorporate prior knowledge, handle missing data, and quantify uncertainty in our predictions. For binary data, Bayesian methods can be used to model the probability of each class given the observed binary values and make predictions for new observations. For vector data, Bayesian methods can be used to model the probability of each class given the observed vector values and make predictions for new observations. | ||||
| Keywords | ||||
| Bayesian methods; binary data; vector data | ||||
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