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The 36th Conference on Stochastic Processes and their Applications

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Technical Report,01 Jun 2012,30 Sep 2014

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University of Colorado - Boulder Boulder United States

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The 36th Conference on Stochastic Processes and their Applications SPA, was held July 29-August 2, 2013, at the University of Colorado Boulder. The meeting was organized under the auspices of the Bernoulli Society of the International Statistics Institute, and co-sponsored by the Institute of Mathematical Statistics. The SPA conferences have emerged as the premier international forum for the dissemination of new results in probability and random stochastic processes. Save for 1980 and now once every four years when it is subsumed by the larger scale Bernoulli World Congress playing a similar role but with more statisticians attending, SPA has been held every summer since the founding 1971 meeting at the University of Rochester NY. The international reach of SPA is evident by noting the locations of the four meetings prior to the Boulder one Oaxaca, Mexico 2011, Osaka, Japan 2010, and Berlin, Germany 2009, along with the 8th World Congress in Istanbul, Turkey 2012. In fact, since 2000, SPA had been held only twice in the United States, prior to our meeting. A distinguishing feature of SPA is its breadth. In selecting plenary lecturers, nearly as important as the degree of scholarship is the understanding that as many different areas of probability and stochastic processes as possible should be represented, with balance between theoretical and applied areas. This principle extends to include topics which are attractive to a general scientific community in fields other than mathematics. The list of plenary lecturers reflected the international nature of SPA and the probability community itself, bringing together distinguished scholars from all over the world, while maximizing age and gender diversity to provide visibility to women scientistsand young researchers. In connection to young researchers, SPA has particularly strong traditions.

Subject Categories:

  • Statistics and Probability

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