The goal of the conference is to bring together statisticians and other scientists engaged in inter-disciplinary research involving applications of Statistics from different parts of the world, and provide a platform for them to interact among themselves and to share their thoughts on recent developments in different areas of the subject. Success of the conference will definitely infuse further enthusiasm in statistical activities in India, particularly among young researchers.
The topics to be covered in this PASI lie in several overlapping areas of Probability Theory and Statistical Physics: Disordered Systems (including Spin Glasses and Random Walks in a Random Medium), Percolation and Interacting Particle Systems.
Observations are key to uncertainty quantification (UQ) in climate research because they provide a corroborating source of information about physical processes being modeled. However, observations have uncertainties and this poses a set of methodological and practical issues for comparing them to model simulations. The scientific themes of the workshop include:
* Experimental design aspects of collecting ground-based and remotely-sensed observations; * Data fusion and homogenization: how to combine heterogeneous observational data sources to get a clearer picture of the true physical process; * Link to Uncertainty Quantification for projection of future climate based on past and present observations.
The workshop is co-sponsored by the Cooperative Institute for Climate and Satellites (CICS-NC) and by SAMSI. It is organized in cooperation with the Program in Spatial Statistics and Environmental Statistics (SSES) at the Ohio State University.
In recent years, the mathematical theory associated with financial risk management and the pricing of contingent claims has been a highly active field of research. The area has established itself as one of the most vigorously growing branches of applied mathematics. Model-based analysis of contracts and portfolios has become a standard in the finance industry, and the number of academic institutions offering curricula in financial mathematics is increasing rapidly. In this context, the winter school aims at providing a meeting place for participants both from industry and from academia.
The workshop will focus on recent advances and applications of measure concentration and will gather participants from various areas where this idea has been useful and fruitful to favour exchanges and collaborative research.
The goal of the conference is to bring together active researchers from the various disciplines to showcase their state-of-the-art research results and hopefully to forge new cross-disciplinary interactions among the participants. The conference provides a unique opportunity for in-depth technical discussions and exchange of ideas in mathematical and computational sciences, as well as explores the potential of their applications in natural and social sciences, engineering and technology and industry and finance.
Mathematics and Statistics are important tools in finding solutions for a wide range of problems. They can help us solve some of the most difficult problems and assist us in making the right decisions. Interactions among mathematicians, statisticians and scientists synergize the development of new fields and collaborations. The objectives of this conference are: to provide a forum for researchers, educators, students, contributors, users of mathematical knowledge and industries to exchange ideas and communicate and discuss research findings and new advancement in mathematics and statistics;
to explore possible avenues to foster academic and student exchange, as well as scientific activities;
to promote and encourage exchange of ideas on recent discoveries in the field of mathematics, statistics and mathematical education.