Announcement and call for contributions to a special session on:
“Inverse problems”
at the Stochastic Modeling Techniques and Data Analysis International Conference to be held in Lisbon Portugal, June 11 - 14, 2014.
(See the site http://www.smtda.net/ for full details)
The Stochastic Modeling Techniques and Data Analysis International Conference (SMTDA) main objective is to welcome papers, both theoretical or practical, presenting new techniques and methodologies in the broad area of stochastic modeling and data analysis. An objective is to use the methods proposed for solving real life problems by analyzing the relevant data. Also, the use of recent advances in different fields will be promoted such as for example, new optimization and statistical methods, data warehouse, data mining and knowledge systems, computing-aided decision supports and neural computing.
As part of the conference a special session on statistical methods for inverse problems is to take place. Many important real world problems can be described as inverse problems and appear naturally in many areas of scientific investigation, for example in physics, engineering and medicine. The most familiar examples include emission tomography in medicine, seismic prospecting in oil and gas exploration and electrical tomography in industry. The results can have a critical influence on medical diagnosis, security screening, environmental monitoring, oil field viability assessment, and industrial process efficiency. A typical inverse problem can be characterized as one in which measurements taken around a region are used to provide information about the interior of the region. Clearly, then the task is to infer unknown model parameters from data. Research focus is on inverse problems which are ill-posed because of non-uniqueness or lack of numerical stability in their solution. To facilitate solution, constraints must be imposed producing uniqueness and stability. This often involves sparse or smooth regularization or description in terms of geometric models.
Refecting the aims of the conference, it is hoped that this session will attract a wide range of mathematicians and statisticians, along with experts in scientific computing and those with experience in practical applications. It is expected that this session will provide an opportunity for cross-fertilization and will motivate future theoretical advances and practical innovation. Contributions are sort on any aspect of inverse problem solution such as, but not limited to, non-smooth and sparse regularization, use of wavelet representations, geometric modelling, Bayesian methods, prior modelling, fully Bayesian estimation, use of multimodal data, data fusion, numerical reconstruction methods such as novel uses of Markov chain Monte Carlo (MCMC) and approximate Bayesian computation (ABC).
Informal enquiries about this session can be made to the session organizer: Dr Robert G Aykroyd (University of Leeds, UK) by email to [log in to unmask] with abstracts submitted via the conference website (http://www.smtda.net/) as soon as possible.
Any submitted talks which are not accepted for this special session will automatically be consider for other sessions.
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