高维数据分析

图书标准信息

• 作者 蔡天文、沈晓彤 编
• 出版社 高等教育出版社
• 出版时间 2010-10
• 版次 1
• ISBN 9787040298512
• 定价 68.00元
• 装帧 精装
• 开本 16开
• 纸张 胶版纸
• 页数 307页
• 字数 300千字
• 正文语种 英语

【内容简介】

overthelastfewyears，significantdevelopmentshavebeentakingplaceinhigh-dimensionaldataanalysis，drivenprimarilybyawiderangeofapplicationsinmanyfieldssuchasgenomicsandsignalprocessing.inparticular，substantialadvanceshavebeenmadeintheareasoffeatureselection，covarianceestimation，classificationandregression.thisbookintendstoexamineimportantissuesarisingfromhigh-dimensionaldataanalysistoexplorekeyideasforstatisticalinferenceandprediction.
itisstructuredaroundtopicsonmultiplehypothesistesting，featureselection，regression，classification，dimensionreduction，aswellasapplicationsinsurvivalanalysisandbiomedicalresearch.
thebookwillappealtograduatestudentsandnewresearchersinterestedintheplethoraofopportunitiesavailableinhighdimensionaldataanalysis.

【目录】

Preface
partihigh-dimensionalclassification
chapter1high-dimensionalclassificationjianqingfan，yingyingfanandyichaowu
1introduction
2elementsofclassifications
3impactofdimensionalityonclassification
4distance-basedclassificationrules
5featureselectionbyindependencerule
6loss-basedclassification
7featureselectioninloss-basedclassification
8multi-categoryclassification
references
chapter2flexiblelargemarginclassifiersyufengliuandyichaowu
1backgroundonclassification
2thesupportvectormachine：themarginformulationandthesvinterpretation
3regularizationframework
4someextensionsofthesvm：boundedconstraintmachineandthebalancingsvm
5multicategoryclassifiers
6probabilityestimation
7conclusionsanddiscussions
references
partiilarge-scalemultipletesting
chapter3acompounddecision-theoreticapproachtolarge-scalemultipletesting
ttonycaiandwenguangsun
1introduction
2fdrcontrollingproceduresbasedonp-values
3oracleandadaptivecompounddecisionrulesforfdrcontrol
4simultaneoustestingofgroupedhypotheses
5large-scalemultipletestingunderdependence
6openproblems
references
partiiimodelbuildingwithvariableselection
chapter4modelbuildingwithvariableselectionmingyuan
1introduction
2whyvariableselection
3classicalapproaches
4bayesianandstochasticsearch
5regularization
6towardsmoreinterpretablemodels
7furtherreadings
references
chapter5bayesianvariableselectioninregressionwithnetworkedpredictors
fengtai，weipanandxiaotongshen
1introduction
2statisticalmodels
3estimation
4results
5discussion
references
partivhigh-dimensionalstatisticsingenomics
chapter6high-dimensionalstatisticsingenomicshongzheli
1introduction
2identificationofactivetranscriptionfactorsusingtime-coursegeneexpressiondata
3methodsforanalysisofgenomicdatawithagraphicalstr
4statisticalmethodsineqtlstudies
5discussionandfuturedirection
references
chapter7anoverviewonjointmodelingofcensoredsurvivaltimeandlongitudinaldata
runzeliandjian-jianren
1introduction
2survivaldatawithlongitudinalcovariates
3jointmodelingwithrightcensoreddata
4jointmodelingwithintervalcensoreddata
5furtherstudies
references
partvanalysisofsurvivalandlongitudinaldata
chapter8survivalanalysiswithhigh-dimensionalcovariatesbinnan
1introduction
2regularizedcoxregression
3hierarchicallypenalizedcoxregressionwithgroupedvariables
4regularizedmethodsfortheacceleratedfailuretimemodel
5tuningparameterselectionandaconcludingremark
references
partvisufficientdimensionreductioninregression
chapter9sufficientdimensionreductioninregressionxiangrongyin
1introduction
2sufficientdimensionreductioninregression
3sufficientvariableselection（svs)
4sdrforcorrelateddataandlarge-p-small-n
5furtherdiscussion
references
chapter10combiningstatisticalprocedureslihuachenandyuhongyang
1introduction
2combiningforadaptation
3combiningproceduresforimprovement
4concludingremarks
references
subjectindex
authorindex