高维数据分析
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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
装帧精装
货号1-4
上书时间2024-07-18
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图书标准信息
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作者
蔡天文、沈晓彤 编
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出版社
高等教育出版社
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出版时间
2010-10
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版次
1
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ISBN
9787040298512
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定价
68.00元
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装帧
精装
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开本
16开
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纸张
胶版纸
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页数
307页
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字数
300千字
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正文语种
英语
- 【内容简介】
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overthelastfewyears,significantdevelopmentshavebeentakingplaceinhigh-dimensionaldataanalysis,drivenprimarilybyawiderangeofapplicationsinmanyfieldssuchasgenomicsandsignalprocessing.inparticular,substantialadvanceshavebeenmadeintheareasoffeatureselection,covarianceestimation,classificationandregression.thisbookintendstoexamineimportantissuesarisingfromhigh-dimensionaldataanalysistoexplorekeyideasforstatisticalinferenceandprediction.
itisstructuredaroundtopicsonmultiplehypothesistesting,featureselection,regression,classification,dimensionreduction,aswellasapplicationsinsurvivalanalysisandbiomedicalresearch.
thebookwillappealtograduatestudentsandnewresearchersinterestedintheplethoraofopportunitiesavailableinhighdimensionaldataanalysis.
- 【目录】
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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
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