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in view of testing and measuring direct
I argue that studying inference on regression with missing or mismeasured explanatory variables constitute a useful intermediate statistical problem. Both finite-sample and asymptotic bounds will be proposed in this context. This approach will also be carried to linear and nonlinear structural equation models × Unknown
2 grants totalling $0
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| Recipient | Amount | Program |
|---|---|---|
| Government of Ontario - Ministry of Health and Long-Term Care | $3.2B | Shared Health Priorities Initiative |
| Government of Ontario - Ministry of Health and Long-Term Care | $3.2B | Shared Health Priorities Initiative |
| Government of Ontario - Ministry of Health and Long-Term Care | $3.2B | Shared Health Priorities Initiative |
| Gouvernement du Québec - Ministère de la Santé et des Services sociaux | $2.5B | Shared Health Priorities Initiative |
| Gouvernement du Québec - Ministère de la santé et des Services sociaux | $2.5B | Shared Health Priorities Initiative |
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Recipient Profile
I argue that studying inference on regression with missing or mismeasured explanatory variables constitute a useful intermediate statistical problem. Both finite-sample and asymptotic bounds will be proposed in this context. This approach will also be carried to linear and nonlinear structural equation models →