02964nam a22005057a 4500001001500000003000900015005001700024007001500041008004100056020001800097024003500115050001900150050001600169072001600185072001700201072002300218082001400241245016000255264006100415300003500476336002600511337002600537338003600563347002400599490003400623520120300657650001701860650003501877650002601912650002801938650001901966650001701985650004902002650005102051650006202102700003402164700002902198700003002227700002902257710003402286773002002320776003602340830003402376856004802410sulb-eb0023129BD-SySUS20160413122336.0cr nn 008mamaa130420s2013 sz | s |||| 0|eng d a97830348049057 a10.1007/978-3-0348-0490-52doi 4aQA273.A1-274.9 4aQA274-274.9 7aPBT2bicssc 7aPBWL2bicssc 7aMAT0290002bisacsh04a519.222310aHigh Dimensional Probability VIh[electronic resource] :bThe Banff Volume /cedited by Christian Houdré, David M. Mason, Jan Rosiński, Jon A. Wellner. 1aBasel :bSpringer Basel :bImprint: Birkhäuser,c2013. aXIII, 374 p.bonline resource. atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier atext filebPDF2rda1 aProgress in Probability ;v66 aThis is a collection of papers by participants at the High Dimensional Probability VI Meeting held from October 9-14, 2011 at the Banff International Research Station in Banff, Alberta, Canada. High Dimensional Probability (HDP) is an area of mathematics that includes the study of probability distributions and limit theorems in infinite dimensional spaces such as Hilbert spaces and Banach spaces. The most remarkable feature of this area is that it has resulted in the creation of powerful new tools and perspectives, whose range of application has led to interactions with other areas of mathematics, statistics, and computer science. These include random matrix theory, nonparametric statistics, empirical process theory, statistical learning theory, concentration of measure phenomena, strong and weak approximations, distribution function estimation in high dimensions, combinatorial optimization, and random graph theory. The papers in this volume show that HDP theory continues to develop new tools, methods, techniques and perspectives to analyze the random phenomena. Both researchers and advanced students will find this book of great use for learning about new avenues of research. 0aMathematics. 0aComputer sciencexMathematics. 0aComputer mathematics. 0aCalculus of variations. 0aProbabilities.14aMathematics.24aProbability Theory and Stochastic Processes.24aMathematical Applications in Computer Science.24aCalculus of Variations and Optimal Control; Optimization.1 aHoudré, Christian.eeditor.1 aMason, David M.eeditor.1 aRosiński, Jan.eeditor.1 aWellner, Jon A.eeditor.2 aSpringerLink (Online service)0 tSpringer eBooks08iPrinted edition:z9783034804899 0aProgress in Probability ;v6640uhttp://dx.doi.org/10.1007/978-3-0348-0490-5