Expanding insurability through exploiting linear partial information
This contribution aims to expand insurability using partial linear information (LPI) on probabilities of the type, $ {r}_{1}\ge {r}_{3} $ (with $ {r}_{1}+{r}_{2}+{r}_{3}+\dots {r}_{n} = {1} $). LPI theory permits to exploit such weak information for systematic decision-making provided the decision-m...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2022-03-01
|
| Series: | Data Science in Finance and Economics |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/DSFE.2022001?viewType=HTML |