Recent decades have seen enormous improvements in computational inference for statistical models; there have been competitive continual enhancements in a wide range of computational tools. In Bayesian inference, first and foremost, MCMC techniques have continued to evolve, moving from random walk proposals...
The method suggested in this paper, as well as in [1], is deterministic and hence there is no uncertainty on the final estimates, unlike the Monte Carlo (MC) and quasi-Monte Carlo (QMC) techniques. Also, it does not necessitate a smooth or analytic pdf. The calculation is done quickly...