Newest Developments and Urgent Issues in Measurement Error and Latent Variable Problems (16w5063)

Organizers

(University of Manitoba)

(University of British Columbia)

(Penn State University)

Grace Yi (University of Waterloo)

Description

The Banff International Research Station will host the "Newest Developments and Urgent Issues in Measurement Error and Latent Variable Problems" workshop from August 14th to August 19th, 2016.



Studies in biology, medicine, economics, social sciences and other fields commonly encounter imprecise measurements. The measurement errors may be caused by limited machine precision, human mistakes, biological fluctuation or quantification of an abstract qualification or condition. Moreover, measurement error issue causes various difficulties and challenges in the analysis of such data because the quantities under investigation are unobservable. The emergence of large and complex data and more sophisticated and flexible statistical models further increases the difficulty in dealing with measurement error.

This workshop will bring together international experts in this important field of statistical research. The ultimate goals are to advance the understanding and development of the methods and tools which can be effectively used to handle the analysis of data with measurement error or related latent structure.



The Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, are collaborative Canada-US-Mexico ventures that provide an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry.

The research station in Banff is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT). The research station in Oaxaca is funded by CONACYT.