Causal Inference in Statistics
Article description
Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality. Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data. Causal methods are also compared to traditional statistical methods, whilst questions are provided at the end of each section to aid student learning.
Specifications
| ISBN/EAN | 9781119186861 |
| Type | ebook |
| License duration |
Read ebook online: 365 days
Read ebook offline: perpetual |
Article description
Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality. Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data. Causal methods are also compared to traditional statistical methods, whilst questions are provided at the end of each section to aid student learning.
Specifications
| ISBN/EAN | 9781119186861 |
| Type | ebook |
| License duration |
Read ebook online: 365 days
Read ebook offline: perpetual |