Blog
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Effective bandwidth of non-Markovian packet traffic
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Telecommunications engineers and operations researchers aim to manage complex and fluctuating traffic flows through extended networks. Among other techniques, they have exploited results from the theory of large deviations to estimate the likelihood that a demand in service will overflow the available
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Thermodynamic uncertainty for run-and-tumble type processes
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Systems out of equilibrium typically carry macroscopic currents of particles, mass or energy. Thermodynamic uncertainty relations offer universal bounds linking such currents and their statistical fluctuations to other system properties, especially entropy production.
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Comment on D. Bernoulli (1738)
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Probability theory emerged in the second half of the 17th century as a way to think about monetary gambles, and how to choose wisely when facing uncertainty. Early thinking suggested that people would act so as to maximise the expected change in
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Detection and replenishment of missing data in marked point processes
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Point processes offer a convenient mathematical representation of earthquakes, volcanic eruptions, crimes and many other processes which occur at random times and locations. The data available in these fields has exploded with modern recording technology, and yet many data sets suffer from
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Can Signal Delay Be Functional? Including Delay In Evolved Robot Controllers
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Signals travel at finite speeds within the nerves of living organisms, between satellites and the Earth, or in computers and other technological devices. As a result, they incur delays in moving from one point to another, which engineers, roboticists, control-theorists and neuroscientists
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Anomalous Diffusion in Random Dynamical Systems
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Brownian motion has long been the standard paradigm for modelling random, diffusive motion, such as the haphazard movement of a dust particle floating in a fluid. This is considered to be “normal” diffusion, in which the mean square particle displacement – calculated
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Mark Kirstein becomes a DAAD PRIME Fellow
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LML Fellow Mark Kirstein has received a PRIME fellowship from DAAD (the German Academic Exchange Service). This will support a 12-month research visit to the London Mathematical Laboratory, followed by a postdoctoral position at Leipzig University for 6 months. Mark will use
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Toward understanding the impact of artificial intelligence on labour
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Economists and policy makers worry that the rapid advance of artificial intelligence (AI) and automation technologies could seriously disrupt labour markets.
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Noisy network attractor models for transitions between EEG microstates
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Electroencephalography (EEG) provides a direct measure of neuronal activity as reflected in the scalp electrical field. Empirically, global measures of EEG topography remain stable in so-called EEG microstates for brief periods (50–100 ms) before switching to another quasi-stable state.
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Limits to machine prediction, the psychology of Brexit fantasies and how biology exploits phase transitions – a few recent essays
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Here are links to a few recent articles by LML Fellow Mark Buchanan.