高维数据分析
出版时间:
2010-10
版次:
1
ISBN:
9787040298512
定价:
68.00
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
13人买过
-
overthelastfewyears，significantdevelopmentshavebeentakingplaceinhigh-dimensionaldataanalysis，drivenprimarilybyawiderangeofapplicationsinmanyfieldssuchasgenomicsandsignalprocessing.inparticular，substantialadvanceshavebeenmadeintheareasoffeatureselection，covarianceestimation，classificationandregression.thisbookintendstoexamineimportantissuesarisingfromhigh-dimensionaldataanalysistoexplorekeyideasforstatisticalinferenceandprediction.
itisstructuredaroundtopicsonmultiplehypothesistesting，featureselection，regression，classification，dimensionreduction，aswellasapplicationsinsurvivalanalysisandbiomedicalresearch.
thebookwillappealtograduatestudentsandnewresearchersinterestedintheplethoraofopportunitiesavailableinhighdimensionaldataanalysis. 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
-
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
查看详情
-
八五品
北京市丰台区
平均发货4小时
成功完成率97.21%
-
九品
广东省深圳市
平均发货10小时
成功完成率96.52%
-
九品
贵州省贵阳市
平均发货6小时
成功完成率96.44%
-
八五品
北京市昌平区
平均发货8小时
成功完成率96.74%
-
九品
河南省郑州市
平均发货9小时
成功完成率94.82%
-
八五品
北京市昌平区
平均发货10小时
成功完成率96.14%
-
九品
湖北省武汉市
平均发货13小时
成功完成率90.98%
-
九品
湖北省孝感市
平均发货2小时
成功完成率98.55%
-
九五品
浙江省杭州市
平均发货29小时
成功完成率83.6%
-
高维数据分析
正版现货，首页空白处有印章，内页干净无字迹无写划，如介意有印章请勿拍。
九品
湖北省武汉市
平均发货11小时
成功完成率94.57%
-
高维数据分析
正版现货，首页空白处有印章，内页干净无字迹无写划，如介意有印章请勿拍。
九品
湖北省武汉市
平均发货11小时
成功完成率94.57%
-
高维数据分析
正版现货，品相完整，套书只发一本,多版面书籍只对书名
九品
北京市海淀区
平均发货24小时
成功完成率83.83%
-
九品
云南省昆明市
平均发货20小时
成功完成率97.89%
占位居中
