Seismic monitoring plays a fundamental role in mitigating hazards near volcanoes, where thousands of earthquakes can occur each day during periods of unrest. These events produce a diverse range of seismic signals, and the detection of the initial primary (P-) and secondary/shear (S-) wave arrivals forms the basis of most seismic processing tasks undertaken to […]
About Mark Buchanan
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The effect an individual node or edge can have on a network’s structure and dynamics depends not only on the scale of its activity, but also on its position within the network, as well as the activity of neighbouring nodes and edges.
Since its first formulation in 1964, the so-called “big jump principle” (BJP) of extreme value statistics has played an important role in fields such as large deviation theory and financial mathematics. For heavy-tailed distributions, the principle considers N independent and identically distributed (IID) random variables, and links the statistics of the sum of these variables […]
For more than half a century, researchers have employed mathematical models to better understand the response of the Earth’s climate to internal fluctuations as well as external perturbations, whether anthropogenic or solar. These models range from highly complex and multi-dimensional general circulation models to simplified energy balance models.
The study of random matrices finds many important applications in physics, mathematics, biology, statistics and finance, as random matrix ensembles offer simple but nontrivial models of strongly correlated systems.
Humans make decisions in part by drawing on their previous related experiences. But human memory isn’t exhaustive and complete.
Many distinct physical factors help trigger earthquakes, among them the loading of the earth’s crust by water. Many studies have demonstrated a seasonal modulation of seismicity linked to water forcing in volcanic areas, plate boundary zones and other regions.
The emergence of cities is a relatively recent phenomenon in human history. Their appearance in the archaeological record coincides with the advent of increasingly sedentary, agricultural, bureaucratic, and politically asymmetrical societies.
Probabilistic earthquake forecasts estimate the spatial and/or temporal evolution of seismicity and offer practical guidance to authorities during earthquake sequences, especially following notable earthquakes.
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 in which the edges are added is of no importance.
London Mathematical Laboratory
8 Margravine Gardens
Ergodicity Economics 2022 (EE2022) (17-19 January 2022)