LEADER 03834nam 22007095 450 001 9910300243303321 005 20220325232825.0 010 $a3-319-22099-3 024 7 $a10.1007/978-3-319-22099-4 035 $a(CKB)3710000000484419 035 $a(EBL)4178459 035 $a(SSID)ssj0001584979 035 $a(PQKBManifestationID)16264227 035 $a(PQKBTitleCode)TC0001584979 035 $a(PQKBWorkID)14864088 035 $a(PQKB)10713321 035 $a(DE-He213)978-3-319-22099-4 035 $a(MiAaPQ)EBC4178459 035 $a(PPN)190006447 035 $a(EXLCZ)993710000000484419 100 $a20150929d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aConcentration inequalities for sums and martingales$b[electronic resource] /$fby Bernard Bercu, Bernard Delyon, Emmanuel Rio 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (131 p.) 225 1 $aSpringerBriefs in Mathematics,$x2191-8198 300 $aDescription based upon print version of record. 311 $a3-319-22098-5 320 $aIncludes bibliographical references at the end of each chapters. 327 $aClassical Results -- Concentration Inequalities for Sums -- Concentration Inequalities for Martingales -- Applications in Probability and Statistics. 330 $aThe purpose of this book is to provide an overview of historical and recent results on concentration inequalities for sums of independent random variables and for martingales. The first chapter is devoted to classical asymptotic results in probability such as the strong law of large numbers and the central limit theorem. Our goal is to show that it is really interesting to make use of concentration inequalities for sums and martingales. The second chapter deals with classical concentration inequalities for sums of independent random variables such as the famous Hoeffding, Bennett, Bernstein and Talagrand inequalities. Further results and improvements are also provided such as the missing factors in those inequalities. The third chapter concerns concentration inequalities for martingales such as Azuma-Hoeffding, Freedman and De la Pena inequalities. Several extensions are also provided. The fourth chapter is devoted to applications of concentration inequalities in probability and statistics. 410 0$aSpringerBriefs in Mathematics,$x2191-8198 606 $aProbabilities 606 $aMathematics 606 $aHistory 606 $aFunctions of complex variables 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 606 $aHistory of Mathematical Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M23009 606 $aSeveral Complex Variables and Analytic Spaces$3https://scigraph.springernature.com/ontologies/product-market-codes/M12198 615 0$aProbabilities. 615 0$aMathematics. 615 0$aHistory. 615 0$aFunctions of complex variables. 615 14$aProbability Theory and Stochastic Processes. 615 24$aHistory of Mathematical Sciences. 615 24$aSeveral Complex Variables and Analytic Spaces. 676 $a510 700 $aBercu$b Bernard$4aut$4http://id.loc.gov/vocabulary/relators/aut$0755639 702 $aDelyon$b Bernard$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aRio$b Emmanuel$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300243303321 996 $aConcentration Inequalities for Sums and Martingales$92536510 997 $aUNINA