Vladas Pipiras

Vladas PipirasVladas Pipiras is Professor of Statistics and Operations Research at the University of North Carolina, Chapel Hill. His research focuses on stochastic processes exhibiting long-range dependence, self-similarity, and other scaling phenomena, as well a on stable, extreme-value and other distributions possessing heavy tails. His other current interests include high-dimensional time series, sampling issues for 'big data', and stochastic dynamical systems, with applications in econometrics, neuroscience, engineering, computer science, and other areas. He has written over fifty research papers and is coauthor of A Basic Course in Measure and Probability: Theory for Applications (with Ross Leadbetter and Stamatis Cambanis, Cambridge, 2014) Read More Read Less

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Long-Range Dependence and Self-Similarity38 %
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Stable Non-Gaussian Self-Similar Processes with Stationary Increments37 %
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Basic Course in Measure and Probability13 % NR
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Basic Course in Measure and Probability32 % NR
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