reliability analysis of rock slope stability has received considerable attention in the literature. it has been used as an effective tool to evaluate uncertainty so prevalent in variables. in this research the application of the jointly distributed random variables method for probabilistic analysis and reliability assessment of rock slope stability with plane sliding is investigated. in a recen...

today, there arevarious statistical models for the discrete simulation of the rainfall occurrence/non-occurrence with more emphasizing on long-term climatic statistics. nevertheless, the accuracy of such models or predictions should be improved in short timescale. in the present paper, it is assumed that the rainfall occurrence/non-occurrence sequences follow a two-layer hidden markov model (hm...

A system has been programmed in JOVIAL to serve as a vehicle for testing hypotheses about language change through time. A basic requirement of the system is that models must be formulated within the framework of Sapir's concept of drift and Bloomfield's definition of a speech community. Outside these restrictions, an experimenters selection of hypotheses is free. The system, which can be viewed...

The generic pronoun one (or its empty counterpart, arbitrary PRO) exhibits a range of properties that show a special connection to the first person, or rather the relevant intentional agent (speaker, addressee, or described agent). Generic one typically leads to generic sentences whose generalization is obtained from a first-person experience or action or else is meant to be immediately applica...

MOTIVATION We propose a Bayesian ensemble method for survival prediction in high-dimensional gene expression data. We specify a fully Bayesian hierarchical approach based on an ensemble 'sum-of-trees' model and illustrate our method using three popular survival models. Our non-parametric method incorporates both additive and interaction effects between genes, which results in high predictive ac...

Recent advances in automated debugging offer significant reductions in the manual effort required to localize RTL errors. These tools return relatively compact sets of RTL locations that can be potential error sources. However, once these locations are returned, the engineer still has to perform detailed analysis to discard irrelevant locations and identify the culprit. This process happens wit...

Abstract: Easily computable recursive algorithms are proposed for estimating coefficients of A(z), C(z), and the covariance matrix Rw of wk for the multivariate ARMA process A(z)yk = C(z)wk on the basis of the noise-corrupted observations ηk ∆ = yk + ǫk. It is shown that the estimates converge to the true ones under reasonable conditions. An illustrative example is provided, and the simulation ...

Abstract Modern approaches for the spatial simulation of categorical variables are largely based on multi-point statistical methods, where a training image is used to derive complex relationships using relevant patterns. In these approaches, simulated realizations driven by utilized, while statistics actual sample data ignored. This paper presents data-driven, high-order approach approximation ...