LEADER 01203nam0 2200289 i 450 
001 SUN0049392
005 20151120101600.498
010   $a04-12-81820-5
100   $a20060810d1997       |0engc50      ba
101   $aeng
102   $aGB
105   $a||||    |||||
200 1 $aMarkov chain Monte Carlo$estochastic simulation for Bayesian inference$fDani Gamerman
210   $dLondon : Chapman & Hall 1997
215   $a240 p$cill$d24 cm.
410  1$1001SUN0049391$12001 $aChapman & Hall texts in statistical science series$1210  $aLondon$cChapman & Hall.
606   $a65C05$xMonte Carlo methods [MSC 2020]$2MF$3SUNC020429
606   $aStatistics [MSC 2010] 62-XX$2MF$3SUNC022998
606   $a62F15$xBayesian inference [MSC 2020]$2MF$3SUNC024528
620   $aGB$dLondon$3SUNL000015
700  1$aGamerman$b, Dani$3SUNV039055$044043
712   $aChapman & Hall$3SUNV000138$4650
801   $aIT$bSOL$c20200727$gRICA
912   $aSUN0049392
950   $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08PREST     9                       B           $e08   4942      50      20060810            $sDeteriorato
996   $aMarkov chain Monte Carlo$9357518
997   $aUNICAMPANIA