Table Of ContentSpringer Proceedings in Mathematics & Statistics
Raffaele Argiento
Federico Camerlenghi
Sally Paganin Editors
New Frontiers
in Bayesian
Statistics
BAYSM 2021, Online, September 1–3
Springer Proceedings in Mathematics &
Statistics
Volume 405
This book series features volumes composed of selected contributions from
workshops and conferences in all areas of current research in mathematics and
statistics,includingdatascience,operationsresearchandoptimization.Inaddition
to an overall evaluation of the interest, scientific quality, and timeliness of each
proposalatthehandsofthepublisher,individualcontributionsareallrefereedtothe
highqualitystandardsofleadingjournalsinthefield.Thus,thisseriesprovidesthe
researchcommunitywithwell-edited,authoritativereportsondevelopmentsinthe
mostexcitingareasofmathematicalandstatisticalresearchtoday.
· ·
Raffaele Argiento Federico Camerlenghi
Sally Paganin
Editors
New Frontiers in Bayesian
Statistics
BAYSM 2021, Online, September 1–3
Editors
RaffaeleArgiento FedericoCamerlenghi
DipartimentodiScienzeEconomiche DepartmentofEconomics,Management
UniversitàdegliStudidiBergamo andStatistics
Bergamo,Italy UniversityofMilano-Bicocca
Milan,Italy
SallyPaganin
DepartmentofBiostatistics
HarvardT.H.ChanSchoolofPublicHealth
Boston,MA,USA
ISSN 2194-1009 ISSN 2194-1017 (electronic)
SpringerProceedingsinMathematics&Statistics
ISBN 978-3-031-16426-2 ISBN 978-3-031-16427-9 (eBook)
https://doi.org/10.1007/978-3-031-16427-9
MathematicsSubjectClassification:62C10,62F15,62-06,62Fxx,62Gxx,62Mxx,62Pxx,62Hxx
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Organization
Chair
RaffaeleArgiento,UniversitàdegliStudidiBergamo,Italy
ScientificCommittee
RaffaeleArgiento,UniversitàdegliStudidiBergamo,Italy
FedericoCamerlenghi,UniversityofMilano-Bicocca,Italy
AlejandraAvalos-Pacheco,HarvardMedicalSchool,USA
RobertadeVito,BrownUniversity,USA
YanxunXu,JohnsHopkinsUniversity,USA
OrganizingCommittee
SallyPaganin,HarvardUniversity,USA
WillemvandenBoom,NationalUniversityofSingapore,Singapore
JianjunZhou,YunnanUniversity,China
WeixuanZhu,XiamenUniversity,China
TommasoRigon,UniversityofMilano-Bicocca,Italy
DaeyoungLim,UniversityofConnecticut,USA
v
Preface
This volume collects a selection of peer-reviewed contributions presented at the
fifthBayesianYoungStatisticianMeeting(BaYSM2021),showcasingcurrentand
newadvancesinthefrontiersofBayesianstatistics.Theconferencewasoriginally
plannedtotakeplaceduring2020attheYunnanUniversity,asasatellitetotheISBA
2020WorldMeetinginKunming,China.DuetotheCOVID-19pandemic,theconfer-
encewasfirstpostponedandthenturnedintoavirtualeventheldcompletelyonline
from1to3September2021.Theeventwaspatronizedandgraciouslysupportedby
theYunnanUniversity,theInternationalSocietyofBayesianAnalysis(ISBA)and
thejuniorsectionofISBA(j-ISBA).
BaYSM is a conference designed as a platform for early-career researchers,
includingM.Sc.andPh.D.studentsaswellaspost-doctoralresearchers,toconnect
withtheBayesianscientificcommunityatthebeginningoftheircareer.BaYSMaims
at stimulating collaborations, encouraging discussion, and establishing networks
betweenearly-stageresearcheraswellaswithseniorprofessors.
ThescientificprogramofBaYSM2021includedsixkeynotesessionsdeliveredby
establishedseniorresearchers,inadditiontocontributedsessionsandpostersessions
featuringjuniorresearchers.Thekeynotesessionsofferedbrilliantandstimulating
talksbyMariaDeIorio(Yale-NUSCollegeandUniversityCollegeLondon),David
Dunson(DukeUniversity),LongNguyen(UniversityofMichigan),AmyShi(SAS),
Jessica Utts (University of California, Irvine), and Francesca Dominici (Harvard
University).
Contributions from early-career researchers highlighted different aspects of
Bayesian statistics. Applications included personalized medicine to epidemiology
and migrations pathways. Computation ranged from MCMC methods to ABC,
while among methodological contributions, we mention graphical models and
Bayesian nonparametrics. A senior discussant was present at each contributed
session, providing helpful suggestions, encouragement, and directions for current
andfutureresearch.Oneofthemajorchallengesofthiseditionwastheorganization
of an online environment able to facilitate virtual networking among participants.
Thisgoalwasachievedsettingupavirtual-townwhereparticipantscouldfreelyroam
andchatwitheachother,altogetherwiththeplanningofacommunityeventinvolving
vii
viii Preface
aBayesianthemedQuiz.Finally,throughthesupportofoursponsors,outstanding
contributions of junior researchers were acknowledged by four prizes recognizing
the Best Talk and Best Poster in “Theory and Methods” and in “Applications and
Computation”,aswellastwohonourablementionsforBestTalk.
WeacknowledgeallBaYSM2021attendees,whoseactive(online)participation
andcontributionsmadetheconferenceanamazingscientificeventandanenjoyable
experience. We thank the speakers, both junior and senior; and in particular, we
are grateful to the discussants—Li Ma, Pierre Jacob, David Rossell,Rosangela H.
Loschi,ChristianRobert,PeterMüller—fortheirvaluablework.Moreover,aspecial
thanksgoestoMicheleGuindaniforhostingtheBayesianthemedQuizinspiteofthe
timezonedifficulties.Finally,weexpressoursinceregratitudetothereferees,who
thoroughlyreviewedthecontributionsinthisvolumeandprovidedhelpfulcomments
fortheearly-careerresearchers.
Despite the challenges of the pandemic, organizing BaYSM 2021 has been an
exciting and rewarding experience for all the committee’s members. BaYSM has
now become the official meeting of j-ISBA; we hope that the j-ISBA section will
become more and more a point of reference for early-career researchers, and that
theBaYSMconferencewillcontinuewiththesamesuccessofthepreviouseditions,
providinginspirationfornewgenerationsofBayesianstatisticians.Welookforward
forthenextin-personmeeting,whichwillbeheldnextmonthinMontréal,Canada,
asasatelliteeventoftheISBA2022WorldMeeting.
Bergamo,Italy RaffaeleArgiento
Milan,Italy FedericoCamerlenghi
Boston,USA SallyPaganin
May2022
Contents
ApproximateBayesianAlgorithmforTensorRobustPrincipal
ComponentAnalysis ............................................... 1
AndrejSrakar
BayesianQuantileRegressionforBigDataAnalysis .................. 11
YuanqiChu,XuepingHu,andKemingYu
TowardsaBayesianAnalysisofMigrationPathwaysUsingChain
EventGraphsofAgentBasedModels ............................... 23
PeterStrong,AlysMcAlpine,andJimQ.Smith
Power-Expected-PosteriorMethodologywithBaselineShrinkage
Priors ............................................................ 35
G.TzoumerkasandD.Fouskakis
Bayesian Nonparametric Scalar-on-Image Regression
viaPotts-GibbsRandomPartitionModels ........................... 45
MicaShuXianTeoandSaraWade
BlockStructuredGraphPriorsinGaussianGraphicalModels ........ 57
AlessandroColombi
A Bayesian Joint Spatio-temporal Model for Multiple
Mosquito-BorneDiseases ........................................... 69
JessicaPavaniandPaulaMoraga
A Bayesian Nonparametric Test for Cross-Group Differences
RelativetoaControl ............................................... 79
IvánGutiérrez,LuisGutiérrez,andDaniloAlvares
Specification of the Base Measure of Nonparametric Priors
viaRandomMeans ................................................ 91
FrancescoGaffi,AntonioLijoi,andIgorPrünster
ix
x Contents
BayesianNonparametricPredictiveModelingforPersonalized
TreatmentSelection ............................................... 101
MatteoPedone,RaffaeleArgiento,andFrancescoC.Stingo
BayesianGrowthCurveModelforStudyingtheIntra-abdominal
VolumeDuringPneumoperitoneumforLaparoscopicSurgery ......... 111
GabrielCalvo, CarmenArmero, VirgilioGómez-Rubio,
andGuidoMazzinari
AuthorIndex ...................................................... 117
