David Vere-Jones – författare

Point processes and random measures find wide applicability in telecommunications, earthquakes, image analysis, spatial point patterns and stereology, to name but a few areas. The authors have made a major reshaping of their work in their first edition of 1988 and now present An Introduction to the Theory of Point Processes in two volumes with subtitles Volume I: Elementary Theory and Methods and Volume II: General Theory and Structure.Volume I contains the introductory chapters from the first edition together with an account of basic models, second order theory, and an informal account of prediction, with the aim of making the material accessible to readers primarily interested in models and applications. It also has three appendices that review the mathematical background needed mainly in Volume II.Volume II sets out the basic theory of random measures and point processes in a unified setting and continues with the more theoretical topics of the first edition: limit theorems, ergodic theory, Palm theory, and evolutionary behaviour via martingales and conditional intensity. The very substantial new material in this second volume includes expanded discussions of marked point processes, convergence to equilibrium, and the structure of spatial point processes.

Stochastic point processes are sets of randomly located points in time, on the plane or in some general space. This book provides a general introduction to the theory, starting with simple examples and an historical overview, and proceeding to the general theory. It thoroughly covers recent work in a broad historical perspective in an attempt to provide a wider audience with insights into recent theoretical developments. It contains numerous examples and exercises. This book aims to bridge the gap between informal treatments concerned with applications and highly abstract theoretical treatments.

Point processes and random measures find wide applicability in telecommunications, earthquakes, image analysis, spatial point patterns and stereology, to name but a few areas. The authors have made a major reshaping of their work in their first edition of 1988 and now present An Introduction to the Theory of Point Processes in two volumes with subtitles Volume I: Elementary Theory and Methods and Volume II: General Theory and Structure.Volume I contains the introductory chapters from the first edition together with an account of basic models, second order theory, and an informal account of prediction, with the aim of making the material accessible to readers primarily interested in models and applications. It also has three appendices that review the mathematical background needed mainly in Volume II.Volume II sets out the basic theory of random measures and point processes in a unified setting and continues with the more theoretical topics of the first edition: limit theorems, ergodic theory, Palm theory, and evolutionary behaviour via martingales and conditional intensity. The very substantial new material in this second volume includes expanded discussions of marked point processes, convergence to equilibrium, and the structure of spatial point processes.

This special issue of Pure and Applied Geophysics is one of two volumes containing an augmented collection of papers originating from the Evison Symposium on Seismogenesis and Earthquake Forecasting held in Wellington, New Zealand, in February 2008. The volumes honor Frank Evison's interest in earthquake generation and forecasting. A biography of Frank Evison and a list of his publications is included, as well as review papers and new research papers in the field. The volume includes papers related to Frank's most abiding interest of precursory earthquake swarms. The research contributions cover a range of current forecasting methods such as the Epidemic-Type Aftershock model, the Every Earthquake a precursor According to Scale model, Pattern Informatics, Reverse Tracing of Precursors, stochastic models of elastic rebound, and methods for handling multiple precursors. The methods considered employ a variety of statistical approaches to using previous seismicity to forecast future earthquakes, including regional and global earthquake likelihood models and alarm-type forecasts. The forecast time-frames of interest range from the short time-frame associated with clustering of aftershocks to the long time-frame associated with recurrence of major earthquakes. A recurring theme is the assessment of forecasting performance, whether by likelihood scores, skill scores, error diagrams, or relative operating characteristic tests. The volume will be useful to students and professional researchers who are interested in the earthquake preparation process and in converting that understanding into forecasts of earthquake occurrence.

on constant tectonic loading are as good as or better Other geophysical measurements may also bere- than time-varying earthquake likelihood models ted to earthquake occurrence, and such relationships determinedfrom the evolving stress ?eld. are examinedin some of the papers herein. ITABA et al. One approach to understanding earthquakes isto compare groundwater and crustal deformation to create synthetic earthquake catalogues using certain seismicity recorded on newly installed stations to test assumptions regarding the physics of the process to previouslyobserved preseismicchanges inShikoku see what features of real catalogues can be explained and theKii Peninsula prior to earthquakes in Tonankai by variations in physical properties. SMITH and and Nankai, Japan. They ?nd strainchanges due to DIETERICH takethis approach and model aftershock slow slip events on the plate boundary, but do not ?nd sequences using 3-D stress heterogeneity in the form signi?cant changes in groundwater at that time. of Coulomb static stress change analysisand rate- We conclude the volume with another comparison state seismicity equations calculatedin regions of of seismicity and GPS.OGATA compares anomalies of geometrically complex faults. Their syntheticmodels seismic activity with transient crustaldeformations match severalfeatures of real catalogues such as preceding the 2005 M 7.0 earthquake west of - earthquakeclustering and Omoridecay,and the kuoka, Japan, concluding that aseismicsliptriggered presence of earthquakes in regions where simpler changes in seismicity rates as well as in GPS record- Coulomb stress modelling predicts "stress shadows" ings during the ten years leading up to the earthquake.