We consider the convergence properties of recently proposed adaptive Markov chain Monte Carlo (MCMC) algorithms for approximation of high-dimensional integrals arising in Bayesian analysis and statistical mechanics. Despite their name, in the general case these algorithms produce non-Markovian, time-inhomogeneous, irreversible stochastic processes. Nevertheless, we show that lower bounds on the...

background : the age standardized incidence rates of esophageal cancer in women and men in iran have the fifth and eighth ranks, respectively. due to the high incidence rate of esophageal cancer and the necessity of knowledge of its geographical distribution, the incidence of this cancer was mapped at province and county levels in the present study. methods: the study population of this empiric...

A comprehensive mathematical model based on the discrete particle model and computational fluid dynamics was utilized to investigate mixing and segregation of particles in fluidized beds at high pressure. To quantify the extent of mixing in the bed, the Lacey mixing index was used. Simulations were carried out with different mass fractions of small particles at various pressures ranging from 1 ...

A method for non-parametric regression effects is applied to spatially configured data, using a generalised additive form that allows regression effects to vary over areas. The focus is on discrete outcomes in disease mapping but can be adapted to metric outcomes. Specifically a mixed model is proposed that combines a local general additive model (GAM) element for each area with a spatially fil...

Using stable isotope mixing models (SIMMs) as a tool to investigate the foraging ecology of animals is gaining popularity among researchers. As a result, statistical methods are rapidly evolving and numerous models have been produced to estimate the diets of animals--each with their benefits and their limitations. Deciding which SIMM to use is contingent on factors such as the consumer of inter...

Quantitative description of food webs provides fundamental information for the understanding of population, community, and ecosystem dynamics. Recently, stable isotope mixing models have been widely used to quantify dietary proportions of different food resources to a focal consumer. Here we propose a novel mixing model (IsoWeb) that estimates diet proportions of all consumers in a food web bas...