Blog
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Transport fluctuations in integrable models out of equilibrium
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The physics of many-body systems out of equilibrium poses some of the most challenging questions in modern science. Particularly novel behaviour occurs in one dimension, where integrability often strongly affects the non-equilibrium physics, and numerous conservation laws constrain the natural relaxation to
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Synchronization of Chaos
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The Dutch scientist Christiaan Huygens famously observed in 1665 that two pendulum-clocks situated in the same room would, over time, come to be synchronized. The explanation? The two clocks were actually interacting very weakly through movements of the floor.
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Bias-variance Trade-off in Portfolio Optimization
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According to current international regulation, financial institutions are obliged to calculate the risk in their trading book on the basis of expected shortfall (ES), a risk measure which aims to capture risk from rare, low-probability events more effectively than earlier measures.
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Attractor dimension of time-averaged climate observables: insights from a low-order ocean-atmosphere model
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The climate system involves a complex interplay between the ocean and atmosphere. Studies of this interplay typically rely on model simulations in comparison with time series data for some feature of oceanic and/or atmospheric circulation on a regional or larger scale.
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Modeling continuous time series with many zeros and an application to earthquakes
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A leading model in earthquake forecasting is the epidemic-type aftershock sequence model, which takes the times and locations of future aftershocks to depend on previous earthquakes, with more recent earthquakes exerting more influence than older events.
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Announcing the LML Summer School 2019
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The London Mathematical Laboratory (LML) invites applications to its 2019 Summer School. This will be held at the Abdus Salam International Centre for Theoretical Physics (ICTP) in Trieste, Italy from Monday 8th July to Friday 2nd August 2019. Postgraduate students will spend
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Postdoctoral Fellow Yonatan Berman joins the LML Ergodicity Economics research programme
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LML is delighted to announce that Yonatan Berman joins the Ergodicity Economics research programme as a Postdoctoral Fellow. Yonatan joins us from Paris School of Economics and has a PhD from Tel Aviv University.
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Reciprocity and success in academic careers
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Since the 1950s, assessments of the quality and effectiveness of scientific research have increasingly rested on quantitative measures based on publication citations.
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A semi-parametric spatiotemporal Hawkes-type point process model with periodic background for crime data
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Criminologists try to predict crime with a number of methods, such as “hot-spotting” – making maps of locations where crimes tend to occur – and epidemiological techniques based on the assumption that the local risk of crime rises temporarily after a crime
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Testing Randomness in Quantum Mechanics
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Monte Carlo experiments use computation and repeated random sampling to obtain numerical estimates for various natural or mathematical processes.