Scholarlink

In this chapter, we first introduce the maximum likelihood estimation method. Then we show how it can be applied in enhancing the linear regression algorithm introduced in Chap. 8 . Moreover, since the algorithm is now configured in a proper probability and statistical framework, we can set up confidence intervals for estimators using the methods presented in Chap. 12 . Finally, we use the maximum likelihood estimation technique to introduce logistic regression, which is actually a classification algorithm.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Algorithms 4: Maximum Likelihood Estimation and Its Application to Regression

  • 章节

  • 发表日期：

    2025年

查看全文
  • Yi Sun,
  • Rod Adams

摘要

In this chapter, we first introduce the maximum likelihood estimation method. Then we show how it can be applied in enhancing the linear regression algorithm introduced in Chap. 8 . Moreover, since the algorithm is now configured in a proper probability and statistical framework, we can set up confidence intervals for estimators using the methods presented in Chap. 12 . Finally, we use the maximum likelihood estimation technique to introduce logistic regression, which is actually a classification algorithm.