Počet záznamů: 1
Adaptive multiple importance sampling for Gaussian processes
SYS 0469804 LBL 01000a^^22220027750^450 005 20240103213444.8 014 $a 85010689209 $2 SCOPUS 014 $a 000399503500009 $2 WOS 017 $a 10.1080/00949655.2017.1280037 $2 DOI 100 $a 20170125d m y slo 03 ba 101 $a eng 102 $a GB 200 1-
$a Adaptive multiple importance sampling for Gaussian processes 215 $a 22 s. $c P 463 -1
$1 001 cav_un_epca*0254060 $1 011 $a 0094-9655 $e 1563-5163 $1 200 1 $a Journal of Statistical Computation and Simulation $v Roč. 87, č. 8 (2017), s. 1644-1665 $1 210 $c Taylor & Francis 610 $a Gaussian Process 610 $a Bayesian estimation 610 $a Adaptive importance sampling 700 -1
$3 cav_un_auth*0345417 $a Xiong $b X. $y GB 701 -1
$3 cav_un_auth*0101207 $a Šmídl $b Václav $i Adaptivní systémy $j Department of Adaptive Systems $k AS $l AS $p UTIA-B $w Department of Adaptive Systems $T Ústav teorie informace a automatizace AV ČR, v. v. i. 701 -1
$3 cav_un_auth*0345418 $a Filippone $b M. $y FR 856 $u http://library.utia.cas.cz/separaty/2017/AS/smidl-0469804.pdf
Počet záznamů: 1