LEADER 02306nam0 2200409 i 450 001 SUN0124581 005 20191022115647.276 010 $d0.00 017 70$2N$a978-3-319-91143-4 100 $a20191021d2018 |0engc50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $a*Bayesian Inference and Maximum Entropy Methods in Science and Engineering$eMaxEnt 37, Jarinu, Brazil, July 09?14, 2017$fAdriano Polpo ... [et al.] editors 205 $aCham : Springer, 2018 210 $axvi$d304 p.$cill. ; 24 cm 215 $aPubblicazione in formato elettronico 410 1$1001SUN0102574$12001 $a*Springer proceedings in mathematics & statistics$v239$1210 $aBerlin$cSpringer$d2012-. 606 $a82B41$xRandom walks, random surfaces, lattice animals, etc. in equilibrium statistical mechanics [MSC 2020]$2MF$3SUNC020793 606 $a60G35$xSignal detection and filtering (aspects of stochastic processes) [MSC 2020]$2MF$3SUNC021485 606 $a62-XX$xStatistics [MSC 2020]$2MF$3SUNC022998 606 $a82B31$xStochastic methods applied to problems in equilibrium statistical mechanics [MSC 2020]$2MF$3SUNC024273 606 $a62Axx$xFoundational topics in statistics [MSC 2020]$2MF$3SUNC025026 606 $a65Cxx$xProbabilistic methods, stochastic differential equations [MSC 2020]$2MF$3SUNC028329 606 $a81Pxx$xFoundations, quantum information and its processing, quantum axioms, and philosophy [MSC 2020]$2MF$3SUNC029592 606 $a62Fxx$xParametric inference [MSC 2020]$2MF$3SUNC031220 606 $a85A35$xStatistical astronomy [MSC 2020]$2MF$3SUNC033594 620 $aCH$dCham$3SUNL001889 702 1$aPolpo$b, Adriano$3SUNV087415 712 12$aInternational Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering$d37.$f2017$eJarinu, Brazil$3SUNV096006 712 $aSpringer$3SUNV000178$4650 801 $aIT$bSOL$c20210503$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-319-91143-4 912 $aSUN0124581 950 $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 1048 $e08eMF1048 20191021 996 $aBayesian Inference and Maximum Entropy Methods in Science and Engineering$91564664 997 $aUNICAMPANIA