Conference Service Mandl

abstract: The purpose of the ADS symposium is to facilitate dissemination of the most recent advancements in the theory, methodology, application, and toolkits of agent-directed simulation. Agent-directed simulation is comprehensive in the integration of agent and simulation technologies, by including models that use agents to develop domain-specific simulations, i.e., agent simulation (this is often referred to as agent-based simulation -when other two important aspects are not considered), and by also including the use of agent technology to develop simulation techniques and toolkits that are subsequently applied, either with or without agents.

abstract: This conference is organized by a group of graduate students from Duke University and UNC-Chapel Hill under the supervision of Jonathan Mattingly and Amarjit Budhiraja. It is intended to provide graduate students and postdoctoral fellows with an opportunity to speak on an area of interest within probability.

abstract: The Conducting Empirical Legal Scholarship workshop is for law school faculty interested in learning about empirical research. Leading empirical scholars Lee Epstein and Andrew Martin will teach the workshop, which provides the formal training necessary to design, conduct, and assess empirical studies, and to use statistical software (Stata) to analyze and manage data. Participants need no background or knowledge of statistics to enroll in the workshop.

abstract: This workshop, sponsored by AIM and the NSF, will study the problem of estimating a probability distribution from a small data sample it generates. The workshop will investigate consolidating a theoretical and algorithmic framework for this topic.

abstract: This workshop, sponsored by AIM and the NSF, is devoted to identifiability problems in graphical statistical models.

abstract: Mathematical and computational models for an increasing number of complex systems in basic sciences, engineering and, increasingly, also in life sciences and socioeconomic modeling, involve uncertainty: the input data could be random parameters expressing information that may only be revealed in the future, or simply reflect measurement error or inherent variability. Uncertainty can also arise on a more primitive level due to insufficient knowledge about particular components of the system under consideration. We then not only confront descriptive issues but also have to question the validity of the prescriptive implications we might derive from the solutions of such mathematical models in the presence of uncertainty. With the prodigious increase in computational capabilities, already seen and expected to continue, and accompanied by a corresponding increase in data, new strategies in mathematical and computational modeling as well as system optimization will be required.

abstract: The purpose of this conference is to bring all the people working in the area of epidemiology under one roof and encourage mutual interaction. The conference ICMHA'10 is held under the World Congress on Engineering and Computer Science WCECS 2010. The WCECS 2010 is organized by the International Association of Engineers (IAENG), a non-profit international association for the engineers and the computer scientists. The congress has the focus on the frontier topics in the theoretical and applied engineering and computer science subjects. All submitted papers will be under peer review and accepted papers will be published in the conference proceeding (ISBN: 978-988-17012-0-6).

abstract: ASA's 175th Anniversary Celebration