68 citations · 79 across the 19 of their papers we have counts for
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Semiparametric Statistics and the Spread Inequality
Chris A. J. Klaassen
Classical mathematical statistics deals with models that are parametrized by a Euclidean, i.e. finite dimensional, parameter. Quite often such models have been and still are chosen…
Inference via the Skewness-Kurtosis Set
Chris A. J. Klaassen, Bert van Es
Kurtosis minus squared skewness is bounded from below by 1, but for unimodal distributions this parameter is bounded by 189/125. In some applications it is natural to compare distr…
Semiparametrically Efficient Estimation of Euclidean Parameters under Equality Constraints
Chris A. J. Klaassen, Nanang Susyanto
Assume a (semi)parametrically efficient estimator is given of the Euclidean parameter in a (semi)parametric model. A submodel is obtained by constraining this model in that a conti…
Semiparametrically Efficient Estimation of Constrained Euclidean Parameters
Chris A. J. Klaassen, Nanang Susyanto
Consider a quite arbitrary (semi)parametric model with a Euclidean parameter of interest and assume that an asymptotically (semi)parametrically efficient estimator of it is given.…
Optimal Rate of Direct Estimators in Systems of Ordinary Differential Equations Linear in Functions of the Parameters
Itai Dattner, Chris A. J. Klaassen
Many processes in biology, chemistry, physics, medicine, and engineering are modeled by a system of differential equations. Such a system is usually characterized via unknown param…
-consistent parameter estimation for systems of ordinary differential equations: bypassing numerical integration via smoothing
Shota Gugushvili, Chris A. J. Klaassen
We consider the problem of parameter estimation for a system of ordinary differential equations from noisy observations on a solution of the system. In case the system is nonlinear…