Blog
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Root and community inference on latent network growth processes using noisy attachment models
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Complex networks can be analysed using a variety of statistical models including classic Erdös–Rényi random graphs, latent space models, configuration graphs and others. These models generally specify some structure – arising from the existence of communities, for example – but the order […]
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Detecting intense hurricanes from low resolution datasets via dynamical indicators
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Tropical cyclones are among the most extreme and costly weather events. In the United States, hurricane Katrina in 2005 alone caused damage equal to roughly 1% of the country’s gross domestic product.
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Heterogeneity of Aftershock Productivity Along the Mainshock Ruptures and Its Advantage in Improving Short-Term Aftershock Forecast
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Large earthquakes generate aftershocks, the spatiotemporal patterns of which reveal details of how the strain energy in the Earth’s crust relaxes following a main rupture. Prior research has established that aftershocks correlate with regions of low co-seismic slip – slip which occurs […]
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Magnetic reconnection, the existential risks of searching for alien civilizations and carbon emissions in Africa
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Here are links to a few recent articles by LML External Fellow Mark Buchanan.
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Search efficiency of discrete fractional Brownian motion in a random distribution of targets
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In foraging for food, biological organisms explore terrain in search of irregularly dispersed sources. Mathematically, such foraging processes can be modelled using stochastic processes, and in the simplest paradigm – Gaussian spreading generated by random walks or Brownian motion – the mean […]
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Statistical simulator for the engine knock
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Although the automotive industry is rapidly shifting to electric cars, Hybrid Electric Vehicles (HEVs) – with both an electric motor and an internal combustion engine – will still dominate for the next half century.
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Anomaly detection and classification in traffic flow data from fluctuations in the flow–density relationship
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An important goal in highway traffic management is event detection – finding ways to use real-time data to alert authorities to potential problems as they begin to emerge.
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Uncertainty relation between detection probability and energy fluctuations
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A particle following a classical random walk on a finite graph will explore the system completely, in time visiting every site repeatedly. The process is ergodic.
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Assessing the Potential Earthquake Precursory Information in ULF Magnetic Data Recorded in Kanto, Japan during 2000–2010: Distance and Magnitude Dependences
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Since ancient times, scientists have sought to identify precursory signals which might allow the prediction of impending earthquakes or volcanic eruptions.
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Existence of multiple noise-induced transitions in a Lasota-Mackey map
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The addition of stochastic noise to a deterministic dynamical system can induce dramatic qualitative changes in its behaviour. In one counterintuitive effect – termed noise induced order – the addition of noise to an already chaotic system can make its behaviour more […]