Conference Service Mandl

abstract: Stochastic Partial Differential Equations are used to model many physical systems subjected to the influence of internal, external or environmental noise. They also arise when considering deterministic models from random initial conditions, or as tractable approximations to complex deterministic systems. In many cases the presence of noise leads to new phenomena with many recent examples in the physical sciences, biology and financial modelling. The goal of the program is to bring together the world leaders in Stochastic Partial Differential Equations working on various aspects of the theory, numerical approximations and applications, as well as in related scientific areas. A number of workshops will take place during the programme.

abstract: Probability theory and communications have developed hand in hand for about a century. The research challenges in the latter field (from telephone networks to wireless communications and the Internet) have spurred the development of the mathematical theory of stochastic processes, particularly in the theory of Markov processes, point processes, stochastic networks, stochastic geometry, stochastic calculus, information theory, and ergodic theory. Conversely, a large number of applications in communications would not have been possible without the development of stochastics. This program aims at the exposition of the latest developments in mathematical sciences lying on the boundary between stochastics and communications. Several workshops will take place during the program.

abstract: The course provides a thorough introduction to SPSS for Windows (Version 16), a market leading software package for survey data analysis. The course includes a strong practical element in which participants learn and gain experience under the guidance of course tutors.

abstract: This one day course is the foundation to all presentations of statistical information. The basic principles of presenting information in tables, charts, maps and text are explained. These are illustrated and then reinforced through practical exercises.

abstract: The Conference intends to draw on recent experience in order to explore the full range of methods and procedures relevant to uncertainty modelling, reliability assessment and risk-based life-cycle management of engineering structures. Contributions involving generic methodologies and case studies, as well as comparative assessment across different industrial sectors are welcomed.

abstract: This course will focus on the application of multilevel models to hierarchically clustered data structures. Topics will include types of multilevel data structures, linear multilevel and logistic multilevel models, random intercept and random slope models, and the use of graphical methods to display results. The course will focus primarily on situations where the dependent variable is continuous, but methods will also be introduced for dealing with binary response data. The course will include a mixture of lectures and practical workshops using the multilevel modelling software MLwiN.

abstract: The current generation of high-throughput genetic and genomic platforms, has had a great impact on biomedical research, and given new impetus to studies of molecular mechanisms of genetic disease, and to systems biology. The next big technological step forward is the advent of cheap, fast, sequencing platforms that will allow near-complete genome sequences to be quickly and affordably obtained from individual members of any species. Individual genomes from humans, their pathogens and model organisms will have an enormous impact on population genetics and evolutionary theory, as well as on epidemiology, particularly our understanding of infectious disease. We plan to discuss the most pressing open problems and the most promising avenues of future research necessary to deliver the full benefits of genome resequencing.

abstract: Our best estimates of future climate are based on the use of complex computer models that do not explicitly resolve the wide variety of spatio-temporal scales making up Earth's climate system. The non-linearity of the governing physical processes allows energy transfer between different scales, and many aspects of this complex behaviour can be represented by stochastic models. However, the theoretical basis for so doing is far from complete. Many uncertainties remain in predictions derived from climate models, yet governments are increasingly reliant on model predictions to inform mitigation and adaptation strategies. An overarching aim of climate scientists is to reduce the uncertainty in climate predictions and produce credible assessments of model accuracy. Several workshops will take place during this program.

abstract: This one day course is the foundation to all presentations of statistical information. The basic principles of presenting information in tables, charts, maps and text are explained. These are illustrated and then reinforced through practical exercises.