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In probability theory and statistics, a conditional variance is the variance of a random variable given the value(s) of one or more other variables. Particularly in econometrics, the conditional variance is also known as the scedastic function or skedastic function. Conditional variances are important parts of autoregressive conditional…
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conditional variance random displaystyle operatorname given var variable also mid expectation expected function squared prediction particular error second probability value
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Conditional variance | is a | variance of a random variable given the value | 0.90 | text |
| Conditional variance | related to Conditioning on discrete random variables | When | 0.60 | section |
| Conditional variance | related to Conditioning on discrete random variables | Var | 0.60 | section |
| Conditional variance | related to Conditioning on discrete random variables | An | 0.60 | section |
| Conditional variance | related to Definition | The | 0.60 | section |
| Conditional variance | related to Definition | Here | 0.60 | section |
| Conditional variance | related to Definition | As | 0.60 | section |
| Conditional variance | related to Definition | Var | 0.60 | section |
| Conditional variance | related to Explanation, relation to least-squares | Recall | 0.60 | section |
| Conditional variance | related to Explanation, relation to least-squares | The | 0.60 | section |
| Conditional variance | related to Explanation, relation to least-squares | Thus | 0.60 | section |
| Conditional variance | related to Explanation, relation to least-squares | If | 0.60 | section |
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