Targeted learning causal inference for observational and experimental data
The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever; data sets are massive, often measuring hundreds of thousands of measurements for a single subject. The field is ready to move towards clear objective benchmarks under which tools can...
| Hlavní autor: | |
|---|---|
| Korporativní autor: | |
| Další autoři: | , |
| Médium: | Electronic Resource |
| Jazyk: | English |
| Vydáno: |
New York, NY
Springer New York
2011.
|
| Edice: | Springer series in statistics
|
| Témata: | |
| On-line přístup: | Available for University of the Philippines Diliman via SpringerLink. Click here to access |


