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math.ST2008
Semiparametric regression estimation using noisy nonlinear non invertible functions of the observations
Elisabeth Gassiat, Benoit Landelle
We investigate a semiparametric regression model where one gets noisy non linear non invertible functions of the observations. We focus on the application to bearings-only tracking…
math.ST2008★ 41 cited
A Bernstein-Von Mises Theorem for discrete probability distributions
S. Boucheron, E. Gassiat
We investigate the asymptotic normality of the posterior distribution in the discrete setting, when model dimension increases with sample size. We consider a probability mass funct…