Semi-Parametric Estimation in the Nonlinear Structural Errors-in-Variables Model

By Marie-Luce Taupin. 2001

51 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/e125ef09f0c9b80025f3d60d1fd909394c256604

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In Statistics and Probability

1. A. Meister
2. Aurore Delaigle
3. Peter Hall
4. H. Muller
5. Fabienne Comte
6. Antonio Cuevas
7. David Ruppert
8. John P. Buonaccorsi

Citations in the corpus

• Nonparametric Regression Estimation in the Heteroscedastic Errors-in-Variables Problem (2007, background): “…restricted to the nonparametric case, include Fan and Masry 1992; Cook and Stefanski 1994; Stefanski and Cook 1995; Carroll, Maca, and Ruppert 1999; Taupin 2001; Berry, Carroll, and Ruppert 2002; Carroll and Hall 2004; and Liang and Wang 2005; see also Carroll, Ruppert, Stefanski, and Crainiceanu…”
• Identification and Estimation of Regression Models with Misclassification (2006, unknown): “Taupin (2001) proposes a consistent estimator for a nonlinear regression model by imposing normality on the measurement error, while Hong and Tamer (2001) derive estimators for a broader class of moment based models by assuming a Laplace distribution for the error term.”