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Ce que la mort a de monumental, d’inattendu et de collectif, tel est le sujet de cet ouvrage. Il aborde les morts collectives à travers un regard sociologique, la question centrale étant : la mort d’un collectif d’hommes, outre les traitements habituels, ne suscite-t-elle pas des réactions et pratiques spécifiques en lien avec le caractère collectif de ces morts ? De ce point de vue, cette mort serait collective parce qu’elle génère un traitement original différent des décès “ ordinaires ”. C...

catastrophes, sociologie des catastrophes, mort collective, catastrophe naturelle, épidémies

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It is an unusual book in many respects. It is a specific study based on original and in most cases unedited sources, but it can also be read as a general introduction. It crosses boundaries between different fields of learning and traditionally accepted time periods of history. Even if it is essentially a book on medieval man, it stretches far beyond the middle ages as conventionally understood. The final chapter traces the slow disappearance of the medieval mentality until the early nineteenth century.

natural disasters --- middle ages --- black death --- catastrophes --- explaining --- christianity

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Stochastic processes have wide relevance in mathematics both for theoretical aspects and for their numerous real-world applications in various domains. They represent a very active research field which is attracting the growing interest of scientists from a range of disciplines.This Special Issue aims to present a collection of current contributions concerning various topics related to stochastic processes and their applications. In particular, the focus here is on applications of stochastic processes as models of dynamic phenomena in research areas certain to be of interest, such as economics, statistical physics, queuing theory, biology, theoretical neurobiology, and reliability theory. Various contributions dealing with theoretical issues on stochastic processes are also included.

fusion estimation --- sensor networks --- random parameter matrices --- multiplicative noises --- random delays --- realized volatility --- forecast combinations --- structural breaks --- arithmetic progressions --- first Chebyshev function --- products of primes --- regularly varying functions --- slowly varying functions --- mixed Gaussian process --- small deviations --- exact asymptotics --- loan interest rate regulation --- diffusion model --- first passage time (FPT) --- continuous-time Markov chains --- catastrophes --- bounds --- birth-death process --- rate of convergence --- double-ended queues --- time-non-homogeneous birth-death processes --- catastrophes --- repairs --- transient probabilities --- periodic intensity functions --- time-non-homogeneous jump-diffusion processes --- transition densities --- first-passage-time --- lognormal diffusion process --- exogenous factors --- growth curves --- maximum likelihood estimation --- asymptotic distribution --- first-passage time --- inverse first-passage problem --- diffusion --- mixture of Gaussian laws --- rate of convergence --- total variation distance --- Wasserstein distance --- weighted quadratic variation --- non-Markovian queue --- general bulk service --- multiple vacation --- breakdown and repair --- stand-by server --- re-service --- discrete time stochastic model --- first-passage time --- time between inspections --- host-parasite interaction --- nematode infection --- nonhomogeneous Poisson process --- seasonal environment --- Strang–Marchuk splitting approach --- Cohen and Grossberg neural networks --- random impulses --- mean square stability --- fractional differential-difference equations --- fractional queues --- fractional birth-death processes --- busy period --- two-dimensional signature --- multi-state network --- totally positive of order 2 --- stochastic order --- stochastic process --- reliability --- stochastic orders --- scale family of distributions --- proportional hazard rates --- differential entropy