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A-optimal designs for generalized linear model with two parameters.
This paper made a discuss on the relative efficiency of the generalized conditional root square estimation and the specific conditional root square estimation in paper [1,2] in inhomogeneous equality ...
We introduce two novel procedures to test the nullity of the slope function in the functional linear model with real output. The test statistics combine multiple testing ideas and random projections o...
In this short paper, we mainly aim to appeal to readers to pay close attention to the criterion of modified least squares and develop it to generalized modified least squares. The closed-form of the g...
In this paper, we establish optimal hypoelliptic estimates for a class of kinetic equations, which are linear models for the spatially inhomogeneous Boltzmann equation without angular cutoff.
An analytic comparison of permutation methods for tests of partial regression coefficients in the linear model.
We study the performance of estimators of a sparse nonrandom vector based on an observation which is linearly transformed and corrupted by additive white Gaussian noise.
The model we propose is a generalization of the linear discrete model to the case of time varying environment. We present a time discrete time varying model of the dynamics of a population structured ...
To tackle multi collinearity or ill-conditioned designmatrices in linear models, adaptive biased estimators such as thetime-honored Stein estimator, the ridge and the principalcomponent estimators hav...

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