Name
Title | ||
|---|---|---|
Estimation of Interval Probability Distribution in Categorical Data Using Maximum Entropy. |
Abstract | ||
|---|---|---|
Estimating probability distribution is a primary requirement in the application of statistic based. We proposed a framework of estimating interval probability distribution in the category data with unknown information using the maximum entropy in the framework of Dempster-Shafer theory. The proposed method can approximately generate the optimal interval probability distribution considering the unknown information. Two applications are used to illustrate the procedure of the proposed framework. |
Year | Venue | Field |
|---|---|---|
2018 | IUKM | Statistic,Categorical variable,Probability distribution,Principle of maximum entropy,Statistics,Mathematics |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bingyi Kang | 1 | 138 | 9.24 |
| Yong Deng | 2 | 1248 | 83.34 |