The Use of Bayesian Techniques with Binary and Vector Data
| المصدر: | مجلة البحوث التجارية المعاصرة |
|---|---|
| الناشر: | جامعة سوهاج - كلية التجارة |
| المؤلف الرئيسي: | Abd El kareem, Nahed talaat (Author) |
| المجلد/العدد: | مج37, ع4 |
| محكمة: | نعم |
| الدولة: |
مصر |
| التاريخ الميلادي: |
2023
|
| الشهر: | ديسمبر |
| الصفحات: | 1 - 15 |
| ISSN: |
8452-1110 |
| رقم MD: | 1460606 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EcoLink |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Bayesian Methods | Binary Data | Vector Data
|
| رابط المحتوى: |
| المستخلص: |
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 |
|---|---|
| ISSN: |
8452-1110 |
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