学习工作简历

2019.01-至今山东理工大学统计系，副教授

2012.07-2018.12山东理工大学统计系，讲师

2002.09-2004.07曲阜师范大学数学学院，数学专业学士

2004.09-2007.07厦门大学数学学院，概率论与数理统计专业硕士

2009.09-2012.06山东大学金融研究院，概率论与数理统计专业博士

2013.11-2016.10山东大学金融研究院，博士后 教授课程

研究生课程：高等数理统计、回归分析等。

本科生课程：统计计算、非参数统计、数据分析与软件、概率论与数理统计、线性代数、高等代数等。

部分科研项目

1、基于计算密集型方法的动态广义线性模型研究国家自然科学基金2014/01-2014/12NSFC11326183

2、基于并行MCMC的动态金融数据分析中国博士后基金面上项目2014-2015CPSF2014M551888

3、基于并行统计计算的大数据分析山东省自然科学基金面上项目2016-20192016ZRB019YC

部分学术报告

1,ParallelGibbsvariableselectionforhigh-dimensionalgeneralizedlinearmodels,CFE-CMStatistics2018:11thInternationalConferenceoftheERCIMWGonComputationalandMethodologicalStatistics,UniversityofPisa,Italy.

2,Hypergeometric-typebootstrapquasi-likelihoodforfunctionallongitudinaldata:Inferenceandapplications,CFE-CMStatistics2017:10thInternationalConferenceoftheERCIMWGonComputationalandMethodologicalStatistics,London.

3,AdaptiveFPCAforfunctionalgeneralizedlinearmodels，IMS-APRM2016:

The4thInstituteofMathematicalStatistics,AsiaPacificRimMeeting，2016,HongKong.

4,Bootstrapquasilikelihoodforfunctionallongitudinaldata,IASCARS2015:

9thAsianRegionalSectionofStatisticalComputingConference,2015,

Singapore.

5,Parallelstatisticalcomputingfordynamicgeneralizedlinearmodels,2015

IMS-China:InternationalConferenceonStatisticsandProbability,Kunming.

6,Bootstrapforquasistationarydistributions，The24thInternational

WorkshoponMatricesandStatistics，2015，Haikou.

7,SchwarzmethodsforsecondorderBSDEsinfinance,Theannouncementof7thsymposiumonBSDEs,2014,Weihai.

大数据统计计算、金融统计、工业统计。

并行与分布式估计理论及其应用、并行抽样理论、并行MCMC、深度学习算法。

2014-美国《MathematicalReviews》评论员

[1]GuangbaoGuo,JamesAllison&LixingZhu.(2019).Bootstrapmaximumlikelihoodforquasi-stationarydistributions.JournalofNonparametricStatistics,31(1),64-87.(SCI,IF:0.630)

[2]YouW,YangZ,GuoG,WanXF,JiG(2018)PredictionofDNA-bindingproteinsbyinteractionfusionfeaturerepresentationandselectiveensemble.Knowledge-BasedSystems,163,598-610.(SCI,IF:4.396)

[3]GuangbaoGuo(2018).FinitedifferencemethodsfortheBSDEsinfinance.InternationalJournalofFinancialStudies,6(1),1-15.(Review)

[4]Shao,W.&Guo,G.(2018).Multiple-trysimulatedannealingalgorithmforglobaloptimization.MathematicalProblemsinEngineering,2018(1),1-11.(SCI,IF:1.145)

[5]GuangbaoGuo,WenjieYou,LuLinandGuoqiQian.(2016).CovarianceMatrixandTransferFunctionofDynamicGeneralizedLinearModels.JournalofComputationalandAppliedMathematics.296,613–624.(SCI,IF:1.632)

[6]GuangbaoGuo,WeiShao,LuLinandXuehuZhu.(2016).ParallelTemperingforDynamicGeneralizedLinearModels.Commun.Statist.-TheoryMeth.45,6299-6310.(SCI,IF:0.353)

[7]GuangbaoGuo,Lin,Lu.(2016).ParallelBootstrapandOptimalSubsampleLengthsinSmoothFunctionModels.CommunicationsinStatistics–SimulationandComputation,45(6),2208-2231.(SCI,IF:0.501)

[8]GuangbaoGuo,WenjieYouandGuoqiQian.(2015).ParallelMaximumLikelihoodEstimatorforMultipleLinearRegressionModels.JournalofComputationalandAppliedMathematics.273,251-263.(SCI,IF:1.632)

[9]Guangbao,GuoandXiangyunLin.(2014).NonlinearMarkovChainsandG-BrownianMotion.JournalofProbabilityandStatisticalScience.12,59-68.(Big-g)

[10]WeiShao,GuangbaoGuo*,GuoqingZhaoandFanyuMeng.(2014)SimulatedannealingfortheboundsofKendall’sandSpearman’s,

JournalofStatisticalComputationandSimulation.84(12),2688-2699.(SCI,IF:0.869)

[11]WeiShao,GuangbaoGuo,FanyuMengandShuqinJia.(2012).AnefficientproposaldistributionforMetropolis–Hastingsusinga-splinestechnique.ComputationalStatisticsandDataAnalysis,57,465-478.(SCI,IF:1.181)

[12]Guangbao,GuoandWeidong,Zhao.(2012).SchwarzMethodsforQuasiStationaryDistributionsofMarkovChains.Calcolo,49,21-39.(SCI,IF:1.603)

[13]Guangbao,Guo.(2012).ParallelStatisticalComputingforStatistical

Inference.JournalofStatisticalTheoryandPractice.6,536-565.(Review)

[14]Guangbao,GuoandShaoling,Lin.(2010).SchwarzMethodforPenalizedQuasilikelihoodinGeneralizedAdditiveModels.Commun.Statist.-TheoryMeth.,39,1847-1854.(SCI,IF:0.353)