# Predictive Inference

A Predictive Inference is a data-driven inference that involves prediction of future observations based on past observations.

**Example(s):****Counter-Example(s):**

** See:** Statistical Inference, Signal Processing Task, Data Processing Task, .

## References

- (Wikipedia, 2009) ⇒ http://en.wikipedia.org/wiki/Predictive_inference
**Predictive inference**is an interpretation of probability that emphasizes the Prediction of future observations based on past observations.

### 2017

- (Wikipedia, 2017) ⇒ https://en.wikipedia.org/wiki/Predictive_inference Retrieved:2017-9-9.
**Predictive inference**is an approach to statistical inference that emphasizes the prediction of future observations based on past observations.Initially, predictive inference was based on

*observable*parameters and it was the main purpose of studying probability,but it fell out of favor in the 20th century due to a new parametric approach pioneered by Bruno de Finetti. The approach modeled phenomena as a physical system observed with error (e.g., celestial mechanics). De Finetti's idea of exchangeability — that future observations should behave like past observations — came to the attention of the English-speaking world with the 1974 translation from French of his 1937 paper,^{[1]}and has since been propounded by such statisticians as Seymour Geisser.^{[2]}

- ↑ Translated in
- ↑ Geisser, Seymour (1993)
*Predictive Inference: An Introduction*, CRC Press.