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Robert Valletta

Biographic Data

ID1471231
NAMERobert Valletta
GIVEN NAMESRobert
FAMILY NAMEValletta
SIGNATUREVALLETTA R
AFFILIATIONSFederal Reserve Bank of San Francisco, San Francisco, California.
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS7
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2001
LATEST PUBLICATION YEAR2001
H-INDEX1
  • The Bootstrap and Multiple Imputations

    Open Access•David Brownstone, Robert G Valletta et al.•ARTICLE•The Journal of Economic…•2001•Cited by: 7•References: 21

    The bootstrap and multiple imputations are two techniques that can enhance the accuracy of estimated confidence bands and critical values. Although they are computationally intensive, relying on repeated sampling from empirical data sets and associated estimates, modern computing power enables their application in a wide and growing number of econometric settings. We provide an intuitive overview of how to apply these techniques, referring to exi…

  • The Bootstrap and Multiple Imputations

    Open Access•David Brownstone, Robert G Valletta et al.•ARTICLE•The Journal of Economic…•2001•Cited by: 7•References: 21

    The bootstrap and multiple imputations are two techniques that can enhance the accuracy of estimated confidence bands and critical values. Although they are computationally intensive, relying on repeated sampling from empirical data sets and associated estimates, modern computing power enables their application in a wide and growing number of econometric settings. We provide an intuitive overview of how to apply these techniques, referring to exi…

  • The Bootstrap and Multiple Imputations

    Open Access•David Brownstone, Robert G Valletta et al.•ARTICLE•The Journal of Economic…•2001•Cited by: 7•References: 21

    The bootstrap and multiple imputations are two techniques that can enhance the accuracy of estimated confidence bands and critical values. Although they are computationally intensive, relying on repeated sampling from empirical data sets and associated estimates, modern computing power enables their application in a wide and growing number of econometric settings. We provide an intuitive overview of how to apply these techniques, referring to exi…

Computer Science (1 work) · Confidence interval (1 work) · Data mining (1 work) · Econometric model (1 work) · Econometrics (1 work) · Financial Risk and Volatility Modeling (1 work) · Machine learning (1 work) · Mathematics (1 work) · Statistical Methods and Bayesian Inference (1 work) · Statistical Methods and Inference (1 work)

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