Category: Paper Announcement
-
Using posterior predictive distributions to analyse epidemic models: COVID-19 in Mexico City
Posted on
by
Scientists and public health officials have relied on a variety of epidemiological models to forecast the trajectory of the coronavirus pandemic, and to derive guidance for policies aiming to avoid overloading health facilities. All such models contain parameters, and forecasting tools tend […]
-
Modeling the second wave of COVID-19 infections in France and Italy via a stochastic SEIR model
Posted on
by
Late in the spring of this year, many nations around the world, especially in Europe, faced public health crises, as coronavirus infections threatened to overwhelm their intensive care facilities. Authorities responded with drastic measures to reduce social contacts, closing businesses and schools, […]
-
Spatiotemporal seismic hazard and risk assessment of M9.0 megathrust earthquake sequences of wood‐frame houses in Victoria, British Columbia, Canada
Posted on
by
Large earthquakes and the aftershocks they generate cause considerable damage to buildings. As a result, risk management, evacuation planning and rapid seismic loss estimation require good estimates of the cumulative damage likely to arise from an earthquake sequence. This is especially important […]
-
Topological Comparison Between the Stochastic and the Nearest‐Neighbor Earthquake Declustering Methods Through Network Analysis
Posted on
by
On short timescales, earthquakes cluster in both time and space, eventually complicating the analysis of seismicity. One basic goal is to partition the earthquake catalogue into two classes of events — background events, regarded as spontaneous or independent earthquakes, and clustered events, […]
-
The spectral density of dense random networks and the breakdown of the Wigner semicircle law of random matrix theory
Posted on
by
The theory of random networks is useful in modelling systems of many interacting units, ranging from neurons in the brain and computers and routers in the Internet to species in an ecosystem. In this theory, a key mathematical quantity is the eigenvalue […]
-
An attempt to explain recent changes in European snowfall extremes
Posted on
by
In recent decades, the frequency of extreme snowfall events – often entailing considerable human and economic costs – has remained mostly unchanged, despite consistently rising global temperatures.
-
Optical Tweezers: A Comprehensive Tutorial from Calibration to Applications
Posted on
by
A highly-focused laser beam can be used to trap microscopic particles. In this technique – known as optical tweezers – forces arise near the focal spot due to radiation pressure of the light beam (acting along the beam direction) and gradient forces […]
-
A New Method for Imaging Seismic Quiescence and Its Application to the Mw = 8.3 Kurile Islands Earthquake on 15 November 2006
Posted on
by
The seismic quiescence hypothesis asserts that the number of small earthquakes decreases in and around the focal area of a great earthquake near to its time of occurrence.
-
Model checking for hidden Markov models
Posted on
by
Hidden Markov models (HMMs) were first introduced in the late 1960s, and later applied widely in areas including speech recognition, bioinformatics, finance and seismology.
-
The Echo Index and multistability in input-driven recurrent neural networks
Posted on
by
Recurrent neural networks (RNNs) are non-autonomous dynamical systems driven by input, the behaviour of which depend on both model parameters and inputs to the system.