We review nonparametric estimation of efficiency and productivity, by which we mainly mean activity analysis, or data envelopment analysis (DEA). The review covers topics that we hope will be of special interest to those doing research in the realm of agriculture. We also include a brief...

In this article a new nonparametric density estimator based on the sequence of asymmetric kernels is proposed. This method is natural when estimating an unknown density function of a positive random variable. The rates of Mean Squared Error, Mean Integrated Squared Error, and the L1-consistency...

Among the convolution particle filters for discrete-time dynamic systems defined by nonlinear state space models, the Resampled Convolution Filter is one of the most efficient, in terms of estimation of the conditional probability density functions (pdf’s) of the state variables and unknown...