This paper addresses some of the recent developments in efficiency measurement using stochastic frontier SF models in some selected areas. The following three issues are discussed in details. First, estimation of SF models with input-oriented technical efficiency. Second, estimation of latent class models to address technological heterogeneity as well as heterogeneity in economic behavior. Fina...

Photo-realistic rendering of inhomogeneous participating media with light scattering in consideration is important in computer graphics, and is typically computed using Monte Carlo based methods. The key technique in such methods is the free path sampling, which is used for determining the distance (free path) between successive scattering events. Recently, it has been shown that efficient and ...

The importance of good estimates of the defect in the numerical solution of initial value problem ordinary differential equations is considered in the context of global error estimation by using adjoint-equation based methods. In the case of solvers based on the fixed leading coefficient backward differentiation formulae, the quality of defect estimates is shown to play a major role in the reli...

We study the impact of individual and temporal aggregation in linear static and dynamic models for panel data in terms of model specification and efficiency of the estimated parameters. Model wise we find that i) individual aggregation does not affect the model structure but temporal aggregation may introduce residual autocorrelation, and ii) individual aggregation entails heteroskedasticity wh...

The diagonal model (DM) is a recently published nonrandomized response (NRR) survey method to collect data on categorical sensitive characteristics Y ∗. Based on DM data, the distribution of Y ∗ can be estimated. In contrast to randomized response (RR) techniques, NRR schemes avoid the use of a randomization device. Due to this fact, survey complexity and study costs decrease. In this article, ...

Abstract Channel estimation algorithms have a key role in signal detection in MIMO-OFDM systems. In this system, the number of channel components which need to be estimated is much more than conventional SISO wireless systems. Consequently, the computational process of channel estimation is highly intensive. In addition, the high performance channel estimation algorithms mostly suffer from high...

Enabled by the emerging three-dimensional (3D) integration technologies, 3D integrated computing platforms that stack high-density DRAM die(s) with a logic circuit die appear to be attractive for memory-hungry applications such as multimedia signal processing. This paper considers the design of motion estimation accelerator under a 3D logic-DRAM integrated heterogeneous multi-core system framew...