02306nam0 2200409 i 450 SUN012458120191022115647.2760.00N978-3-319-91143-420191021d2018 |0engc50 baengCH|||| |||||*Bayesian Inference and Maximum Entropy Methods in Science and EngineeringMaxEnt 37, Jarinu, Brazil, July 09–14, 2017Adriano Polpo ... [et al.] editorsCham : Springer, 2018xvi304 p.ill. ; 24 cmPubblicazione in formato elettronico001SUN01025742001 *Springer proceedings in mathematics & statistics239210 BerlinSpringer2012-.82B41Random walks, random surfaces, lattice animals, etc. in equilibrium statistical mechanics [MSC 2020]MFSUNC02079360G35Signal detection and filtering (aspects of stochastic processes) [MSC 2020]MFSUNC02148562-XXStatistics [MSC 2020]MFSUNC02299882B31Stochastic methods applied to problems in equilibrium statistical mechanics [MSC 2020]MFSUNC02427362AxxFoundational topics in statistics [MSC 2020]MFSUNC02502665CxxProbabilistic methods, stochastic differential equations [MSC 2020]MFSUNC02832981PxxFoundations, quantum information and its processing, quantum axioms, and philosophy [MSC 2020]MFSUNC02959262FxxParametric inference [MSC 2020]MFSUNC03122085A35Statistical astronomy [MSC 2020]MFSUNC033594CHChamSUNL001889Polpo, AdrianoSUNV087415International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering37.2017Jarinu, BrazilSUNV096006SpringerSUNV000178650ITSOL20210503RICAhttp://doi.org/10.1007/978-3-319-91143-4SUN0124581UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-book 1048 08eMF1048 20191021 Bayesian Inference and Maximum Entropy Methods in Science and Engineering1564664UNICAMPANIA