Development of geostatistical models using stochastic partial differential equations

capensis colonies were laying worker offspring (Onions 1912; Anderson 1963; Ruttner 1977; Moritz et al. 2011), and these queens behave no differently from queens produced

Motivated by random evolutions which do not start from equilibrium, in a recent work, Peligrad and Voln´ y (2018) showed that the central limit theorem (CLT) holds for

If, for example, unat- tractive returns to agriculture compared to other activities proves to be a problem for farmers, then a credit approach (particularly as it is

Yves Guivarc’H, Emile Le Page. On the homogeneity at infinity of the stationary probability for an affine random walk. Siddhartha Bhattacharya, Tarun Das, Anish Ghosh and Riddhi

Key words and phrases: Central limit theorem, spatial processes, m-dependent random fields, physical dependence measure, nonparametric estimation, kernel density estimator, rate

Key words and phrases: Central limit theorem, spatial processes, m- dependent random fields, weak mixing..

It is a powerfull method for proving the central limit theorem (CLT) and the weak invariance principle (WIP) for stationary sequences of depen- dent random variables satisfying

The martingale-coboundary representation will be used in proving limit theor- ems, in particular a weak invariance principle (WIP) and estimates of probabilities of large