Search Results
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Space junk, algorithmic hatred and meaningless jobs – a few recent essays
Here are links to a few recent articles by LML Fellow Mark Buchanan.
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Identifying the recurrence patterns of non-volcanic tremors using a 2-D hidden Markov model
Tectonic movements create stress within the Earth’s crust, which gets released in sudden earthquakes, but also in less dramatic slow slip events. Such events are sometimes accompanied by so-called non-volcanic tremors – weak seismic signals of extended duration along major faults.
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Do environmental concerns affect commuting choices? Hybrid choice modelling with household survey data
Addressing climate change is among the top challenges facing governments around the world, requiring drastic reductions of greenhouse gas emissions. In part this will be through new technologies but progress will also require encouraging significant changes in day-to-day human behaviour.
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Quantification of systemic risk from overlapping portfolios in the financial system
Systemic risk in the financial system is risk tied not to one specific firm, but to the interactions between firms – for example, through possible avalanches of spreading financial distress. One important form of systemic risk arises from indirect links between financial […]
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Studying language evolution in the age of big data
The availability of large digital corpora of cross-linguistic data is revolutionizing many branches of linguistics, triggering a shift of study from detailed questions about individual features to more global patterns amenable to statistical analyses.
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Phase transition, scaling of moments, and order-parameter distributions in Brownian particles and branching processes with finite-size effects
Random walks provide precise mathematical models for diffusion processes, while rooted trees offer a geometric representation of branching processes. Both are of broad importance in probability theory and statistical physics, and some important mathematical results establish links between the two.
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Predicting chaos with an optimal combination of data and prior knowledge
Early in the 20th century, experts tried to forecast the weather by noting current conditions, patterns of winds, temperatures and air pressures, and looking into historical records to find previous moments when similar conditions prevailed. Looking a few days forward in the […]
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Synchronisation and Extreme Value Theory for Coupled Map Lattices
Coupled Map Lattices (CML) are discrete time and space dynamical systems often used as simplified models for the study of spatially-extended non-linear systems.
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Weak Galilean invariance as a selection principle for coarse-grained diffusive models
Galileo Galilei famously stated the principle of Galilean invariance, which links the equations of motion of closed systems as viewed in distinct inertial frames translating relative to one another at a constant velocity.
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Universal behavior of the full particle statistics of one-dimensional Coulomb gases with an arbitrary external potential
Random matrix theory is central to the study of the properties of strongly correlated systems in condensed matter physics and related fields, where important physical quantities are surprisingly well reflected by the joint probability density of the eigenvalues of random matrices.