Month: June 2020
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Giant leaps and long excursions: fluctuation mechanisms in systems with long-range memory
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Many random processes lack memory – that is, the probability distribution for change over any time interval depends on the present state of the process but remains independent of how it behaved previously.
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On the Computation of the Extremal Index for Time Series
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Many insights have recently emerged from applications of extreme value theory to the study of time series generated by dynamical systems.
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What are we weighting for? A mechanistic model for probability weighting
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It’s a common belief in areas such as psychology, economics or finance that people suffer from cognitive biases — systematic deviations from correct or rational behaviour when they make decisions.