In mining projects, all uncertainties associated with a project must be considered to determine the feasibility study. Grade uncertainty is one of the major components of technical uncertainty that affects the variability of the project. Geostatistical simulation, as a reliable approach, is the most widely used method to quantify risk analysis to overcome the drawbacks of the estimation methods...

This paper deals with the problem of simulating a discrete memoryless channel and proposes two algorithms for channel simulation by using the interval algorithm. The rst algorithm provides exact channel simulation and the number of fair random bits per input sample approaches the conditional resolvability of the channel with probability one. The second algorithm provides approximate channel sim...

The theory of distributed detection is receiving a lot of attention. A common assumption used in previous studies is the conditional independence of the observations. In this paper, the optimization of local decision rules for distributed detection networks with correlated observations is considered. We focus on presenting the detection theory for parallel distributed detection networks with fi...

This paper presents a new approach to conditional inference, based on the simulation of samples conditioned by a statistics of the data. Also an explicit expression for the approximation of the conditional likelihood of long runs of the sample given the observed statistics is provided. It is shown that when the conditioning statistics is sufficient for a given parameter, the approximating densi...

We consider the conditional randomization test as a way to account for covariate imbalance in randomized experiments. The test accounts for covariate imbalance by comparing the observed test statistic to the null distribution of the test statistic conditional on the observed covariate imbalance. We prove that the conditional randomization test has the correct significance level and introduce or...

The purpose of this paper is to incorporate the CPC (Climate Prediction Center) seasonal forecast in the temperature process so that conditional means and conditional variances of both the temperature and the CDD (Cooling Degree Day) may be redetermined in accordance with the seasonal forecasting probabilities. Under the Gaussian property of the underlying process, the prices of the CDD options...

This paper characterises income poverty in Honduras during the first half of 2007, and assesses the impact that some government transfers have had on it. The characterisation of income poverty shows that it is possible to eradicate poverty in Honduras solely through redistribution, despite its being a low-income country. The analysis of the incidence and impact of government transfers reveals t...

Sequential Gaussian simulation (sgsim) and sequential indicator simulation (sisim) have emerged as powerful tools for stochastic imaging of Earth Science phenomena and are currently widely accepted fast simulation algorithms. In this paper, we will expand the sequential simulation toolbox by relying on a recent development in geostatistical theory (Journel, 1994) denoted as direct sequential si...