Blog
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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.
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Polarization of opinions in a network with two communities
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The recent study of large data sets has revealed the key network structures behind many biological, social, and technological processes.
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Continuous vs. Discontinuous Transitions in the D-Dimensional Generalized Kuramoto Model: Odd D is different
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In 1975, Yoshiki Kuramoto introduced a simple model to describe the collective dynamics of a set of interacting oscillators. In the model, each oscillator has a natural frequency, and is coupled equally to all other oscillators.
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Biological movement and the Lévy flight hypothesis
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How do animals move through their environment as they search for resources, or try to satisfy other natural goals? Over the past two decades, researchers have examined this question using real world data for organisms such as albatross, marine predators and bees, […]