Research Summary

Fast and Exact Simulation of Long-Memory Processes
Peter Craigmile and Tilmann Gneiting
We develop software for the fast and exact simulation of long-memory processes, such as fractional Gaussian noise, fractional Brownian motion, fractionally differenced, power-law, and Cauchy processes. Random functions with long-range dependence are useful in characterizing dependence in time series (for example, global temperature data, or pollutant concentrations) as well as in modeling heteorogeneities in spatial data (for example, porosity and hydraulic conductivity in aquifers). The code will be publicly available at the NRCSE website.

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