OLS estimator in a rank-rank regression. We show that the probability limits of these estimators may be too large or too …

This paper considers nonparametric identification and estimation of the regression function when a covariate is … nonparametric estimators of the regression function and derives their rates of convergence. …

will present a general mathematical programming algorithm which can be applied to find an element in the interval core. As …

-called peer group games being non-negative additive games on a permission tree. We provide a polynomial time algorithm for …

In this paper we develop several regression algorithms for solving general stochastic optimal control problems via …

. Therefore a combinatorial optimisation algorithm is developed and an algorithm based on graph search is used and customised … correctness of the quick combinatorial algorithm are proved within this paper. For vehicle to grid (V2G) concepts, battery … been used to include degradation costs for different Li-Ion batteries into the graph search algorithm. An application of …

prove this we use a simplicial algorithm that terminates with a zero point within a finite number of iterations. The …

Prefetching is a simple and general method for single-chain parallelisation of the Metropolis-Hastings algorithm based … random walk Metropolis-Hastings algorithm is obtained for a special case and it is shown to decrease in the number of …

In this paper, we run regression analyses to explain voluntary turnover intentions with data from more than 5 …