Yu Yue

Professor

Zicklin School of Business

Department: Paul Chook Dept InfoSys & Stat

Areas of expertise:

Email Address: yu.yue@baruch.cuny.edu

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Education

Ph.D., Statistics, University of Missouri Columbia MO

M.A., Statistics, University of Missouri Columbia MO

B.S., Statistics, Shanghai University of Finance and Economics Shanghai China

SemesterCourse PrefixCourse NumberCourse Name
Summer 2023STA2000Business Statistics I
Spring 2023STA9705Multvrt Stat Methods
Spring 2023STA9708Managerial Statistics
Fall 2022STA9708Managerial Statistics
Fall 2022STA9708Managerial Statistics
Fall 2022STA4155Regression and Forecasting Mod
Summer 2022STA2000Business Statistics I
Spring 2022STA9705Multvrt Stat Methods
Spring 2022STA9708Managerial Statistics
Fall 2021STA9708Managerial Statistics
Fall 2021STA2000Business Statistics I
Summer 2021STA2000Business Statistics I
Spring 2021STA9708Managerial Statistics
Spring 2021STA9705Multvrt Stat Methods
Fall 2020STA4155Regression and Forecasting Mod
Fall 2020STA9708Managerial Statistics
Summer 2020STA2000Business Statistics I
Spring 2020STA9708Managerial Statistics
Spring 2020STAT70500Multivariate Statistical Meth
Spring 2020STA9705Multvrt Stat Methods
Fall 2019STA3155Regression and Forecasting Models for Business Applications
Fall 2019STA9708Managerial Statistics
Summer 2019STA2000Business Statistics I
Spring 2019STA9705Multvrt Stat Methods
Spring 2019STA9708Managerial Statistics
Fall 2018STA3155Regression and Forecasting Models for Business Applications
Fall 2018STA9708Managerial Statistics
Summer 2018STA9708Managerial Statistics
Spring 2018STA9708Managerial Statistics
Spring 2018STA9705Multvrt Stat Methods
Fall 2017STA3155Regression and Forecasting Models for Business Applications
Fall 2017STA9708Managerial Statistics
Spring 2017STA9708Managerial Statistics
Spring 2017STA9705Multvrt Stat Methods
Summer 2016STA2000Business Statistics I
Spring 2016STA9708Managerial Statistics
Spring 2016STA9705Multvrt Stat Methods
Spring 2016STAT97050Multivariate Statistical Mthds
Fall 2015STAT70000Statistics I (ANOVA)
Fall 2015STA9708Managerial Statistics
Summer 2015STA2000Business Statistics I
Spring 2015STAT97050Multivariate Statistical Mthds
Spring 2015STA9708Managerial Statistics
Spring 2015STA9705Multvrt Stat Methods
Fall 2014STAT70000Stat Analy for Bus Decisions
Fall 2014STA9708Managerial Statistics
Summer 2014STA2000Business Statistics I
Spring 2014STA2000Business Statistics I
Spring 2014STA9705Multvrt Stat Methods
Fall 2013STA9708Managerial Statistics
Fall 2013STAT70000Statistics I
Summer 2013STA2000Business Statistics I
Spring 2013STAT70500Multivariate Statistical Meth
Spring 2013STA9705Multvrt Stat Methods
Spring 2013STA2000Business Statistics I
Fall 2012STA9708Managerial Statistics
Fall 2012STAT70000Stat Analy for Bus Decisions
Summer 2012STA2000Business Statistics I
Spring 2012STA9705Multvrt Stat Methods
Spring 2012STA2000Business Statistics I
Fall 2011STA2000Business Statistics I
Spring 2011STA9705Multvrt Stat Methods
Fall 2010STA9700Modern Regression Analysis
Spring 2010STA5000Indep Study & Research Stat I
Spring 2010STA9705Multvrt Stat Methods
Fall 2009STA2000Business Statistics I
Spring 2009STA9708Managerial Statistics
Spring 2009STA2000Business Statistics I
Spring 2009STA9708Managerial Statistics
Fall 2008STA9772Spec Top Stat Anal
Fall 2008STA2000Business Statistics I

Books

Yue, Y., Wang, X., & Faraway, J. (2018). Bayesian Regression Modeling with INLA. Florida, USA, Chapman & Hall/CRC.

Journal Articles

(2024). ANOPOW for Replicated Nonstationary Time Series In Experiments. Annals of Applied Statistics, 18(1). 328-349.

Rad, K. R., Yue, Y., & Mejia, A. F. (2023). Scalable Parameter-free Bayesian Trend Filtering on Large Graphs. Journal of Machine Learning Research,

Mejia, A. F., Bolin, D., Yue, Y., Wang, J., Caffo, B. S., & Beth Nebel, M. (2023). Template Independent Component Analysis with Spatial Priors for Accurate Subject-Level Brain Network Estimation and Inference. Journal of Computational and Graphical Statistics, 32(2). 413-433.

Spencer, D., Yue, Y., Bolin, D., Ryan, S., & Mejia, A. F. (2022). Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups. NeuroImage, 249.

Hegyi, A., Csala, D., Kovács, B., Péter, A., Liew, B., Yue, Y., Finni, T., Tihanyi, J., & Cronin, N. (2021). Superimposing hip extension on knee flexion evokes higher activation in biceps femoris than knee flexion alone. Journal of Electromyography and Kinesiology, 58. 102541.

Mejia, A. F., Yue, Y., Bolin, D., Lindgren, F., & Lindquist, M. (2020). A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis. Journal of the American Statistical Association , 115(530). 501-520.

Liew, B. X., Yue, Y., Cescon, C., Barbero, M., & Falla, D. (2019). Influence of Experimental Pain on the Spatio-temporal Activity of Upper T Trapezius During Dynamic Lifting – An Investigation using Bayesian Spatio- temporal ANOVA. Journal of Electromyography and Kinesiology, 48. 1-8.

Yue, Y., Bolin, D., Rue, H., & Wang, X. (2019). Bayesian Generalized Two-way ANOVA Modeling for Functional Data Using INLA. Statistica Sinica, 29. 741-767.

Gu, A., Yue, Y., Kim, J., & Argulian, E. (2018). The Burden of Modifiable Risk Factors in Newly Defined Categories of Blood Pressure. The American Journal of Medicine, 131(11). 1349–1358.e5.

Gu, A., Yue, Y., Desai, R., & Argulian, E. (2017). Racial and Ethnic Differences in Antihypertensive Medication Use and Blood Pressure Control among US Adults with Hypertension: The National Health and Nutrition Examination Survey, 2003 to 2012. Circulation: Cardiovascular Quality and Outcomes, 10(1).

Gu, A., Yue, Y., & Argulian, E. (2016). Age Differences in Treatment and Control of Hypertension in US Physician Offices, 2003-2010: A Serial Cross-sectional Study. The American Journal of Medicine, 129. 50-58.

Yue, Y., & Wang, X. (2016). Bayesian Inference for Generalized Linear Mixed Models with Predictors Subject to Detection Limits: An Approach that Leverages Information from Auxiliary Variables. Statistics in Medicine, 35. 1689-1705.

Hong, H., Yue, Y., & Pulak, G. (2015). Bayesian Estimation of Long-Term Health Consequences of Obese and Normal-Weight Elderly. Journal of the Royal Statistical Society: Series A (Statistics in Society), 178(3). 725-739.

Yue, Y., & Loh, J. (2015). Variable Selection for Inhomogeneous Spatial Point Process Models. The Canadian Journal of Statistics, 43(2). 288-305.

Yue, Y., & Wang, X. (2014). Spatial Gaussian Markov Random Fields: Modeling, Applications and Efficient Computations. Journal of Biometrics and Biostatistics , 5(e128).

Yue, Y., Simpson, D., Lindgren, F., & Rue, H. (2014). Bayesian Adaptive Smoothing Spline using Stochastic Differential Equations. Bayesian Analysis, 9(2). 397-424.

Waldmann, E., Kneib, T., Yue, Y., Lang, S., & Flexeder, C. (2013). Bayesian Semiparametric Additive Quantile Regression. Statistical Modeling, 13(3). 223-252.

Yue, Y., & Loh, J. (2013). Bayesian Nonparametric Estimation of Pair Correlation Function for Inhomogeneous Spatial Point Processes. Journal of Nonparametric Statistics, 25(2). 463-474.

Yue, Y., & Hong, H. (2012). Bayesian Tobit Quantile Regression Model for Medical Expenditure Panel Survey Data. Statistical Modeling, 12(4). 323-346.

Yue, Y., Speckman, P., & Sun, D. (2012). Priors for Bayesian Adaptive Spline Smoothing. Annals of the Institute of Statistical Mathematics, 64(3). 577-613.

Yue, Y., Lindquist, M., & Loh, J. M. (2012). Meta-analysis of Functional Neuroimaging Data using Bayesian Nonparametric Binary Regression. Annals of Applied Statistics, 6(2). 697-718.

Yue, Y., & Loh, J. M. (2011). Bayesian Semiparametric Intensity Estimation for Inhomogeneous Spatial Point Processes. Biometrics, 67. 937-946.

Yue, Y., & Rue, H. (2011). Bayesian Inference for Additive Mixed Quantile Regression Models. Computational Statistics and Data Analysis, 55. 84-96.

Yue, Y., Loh, J. M., & Lindquist, M. (2010). Adaptive Spatial Smoothing of fMRI Images. Statistics and Its Interface, 3. 3-13.

Rouder, J., Yue, Y., Speckman, P. L., Pratte, M., & Province, J. (2010). Gradual Growth versus Shape Invariance in Perceptual Decision Making. Psychological Review, 117(4). 1267-1274.

Yue, Y., & Speckman, P. (2010). Nonstationary Spatial Gaussian Markov Random Fields. Journal of Computational and Graphical Statistics, 19(1). 96-116.

Presentations

Yue, Y., Bolin, D., Rue, H., & Wang, X. (2018, March 31). Bayesian ANOVA Modeling for Functional Data. ENAR Spring Meeting. Atlanta, GA

Yue, Y., Mejia, A., Bolin, D., Lindgren, F., & Lindquist, M. (2018, June 30). A Bayesian GLM Approach to Cortical Surface fMRI Data Analysis. ICSA 2018 Applied Statistics Symposium. New Brunswick, NJ: International Chinese Statistical Association.

Yue, Y., Mejia, A., Bolin, D., & Lindquist, M. (2018, August 31). A Bayesian GLM Approach to Cortical Surface fMRI Data Analysis. Joint Statistical Meetings. Vancouver, BC, Canada

Yue, Y., Mejia, A., Bolin, D., & Lindquist, M. (2016, August 31). A Bayesian General Linear Modeling Approach to Cortical Surface fMRI Data Analysis. Challenges and Advances on Big Data in Neuroimaging Conference. Cleveland, OH

Yue, Y., Bolin, D., Rue, H., & Wang, X. (2016, August 31). Bayesian ANOVA Modeling for Functional Data. Joint Statistical Meetings. Chicago, IL

Yue, Y., Bolin, D., Rue, H., & Wang, X. (2016, August 31). Bayesian ANOVA Modeling for Functional Data. Workshop on Geometry and Stochastic of Nonlinear, Functional and Graph Data. Bornholm, Denmark

Yue, Y., Bolin, D., Rue, H., & Wang, X. (2015, November 12). Bayesian ANOVA Modeling for Functional Data. Columbia, SC: Department of Statistics, University of South Carolina.

Yue, Y., Lindquist, M., Bolin, D., Lindgren, F., Simpson, D., & Rue, H. (2014, August 31). Bayesian General Linear Modeling Approach for fMRI Data Analysis. Joint Statistical Meetings. Boston, MA, USA: American Statistical Association.

Yue, Y., Lindquist, M., Bolin, D., Lindgren, F., Simpson, D., & Rue, H. (2013, September 30). Bayesian General Linear Model for fMRI Data. Frontiers in Methodological and Applied Statistics: A Celebration of 50 years of MUs Department of Statistics. Columbia, MO: University of Missouri.

Yue, Y., Simpson, D., Lindgren, F., & Rue, H. (2012, July 31). Bayesian Adaptive Smoothing Spline Using Stochastic Differential Equations. The Joint Statistical Meetings. San Diego, CA, USA

Yue, Y., Lindquist, M., Bolin, D., Lindgren, F., Simpson, D., & Rue, H. (2012, November 30). Bayesian General Linear Model for fMRI Data. Newark, NJ: New Jersey Institute of Technology.

Yue, Y., Lindquist, M., Bolin, D., Lindgren, F., Simpson, D., & Rue, H. (2012, December 31). Bayesian General Linear Model for fMRI Data. University of Miami Spatial Statistics Conference. Miami, FL: University of Miami.

Yue, Y., Lindquist, M., & Loh, J. (2012, June 30). Meta-analysis of Functional Neuroimaging Data using Bayesian Nonparametric Binary Regression. The Second International Biostatistics Workshop of Jilin University. Changchun, Jilin, China: Jilin University.

Yue, Y., Lindquist, M., & Loh, J. (2012, January 31). Meta-analysis of Functional Neuroimaging Data using Bayesian Nonparametric Binary Regression. Yorktown Heights, NY: IBM Waterson Research Center.

Yue, Y., Simpson, D., Lindgren, F., & Rue, H. (2012, June 30). Bayesian Adaptive Smoothing Spline Using Stochastic Differential Equations. The Second Workshop on Bayesian Inference for Latent Gaussian Models with Applications. Trondheim, Norway: Norwegian University of Science and Technology.

Yue, Y., Lindquist, M., & Loh, J. (2011, August 31). Meta-analysis of Functional Neuroimaging Data using Bayesian Nonparametric Binary Regression. The Joint Statistical Meetings. Miami Beach, FL, USA

Yue, Y., & Loh, J. M. (2010, October 31). A Bayesian Semiparametric Model for Inhomogeneous Spatial Point Processes. New Haven, CT: Yale University.

Yue, Y., & Loh, J. M. (2010, September 30). A Bayesian Semiparametric Model for Inhomogeneous Spatial Point Processes. Columbia, MO: University of Missouri.

Yue, Y., & Loh, J. M. (2010, August 31). Bayesian semiparametric intensity estimation for inhomogeneous spatial point processes. The Joint Statistical Meetings. Vancouver, BC, Canada

Yue, Y., & Loh, J. M. (2010, July 31). Bayesian semiparametric intensity estimation for inhomogeneous spatial point processes. The Thirteenth Meeting of New Researchers in Statistics and Probability. Vancouver, BC, Canada

Yue, Y., Speckman, P., & Sun, D. (2009, September 30). Bayesian Adaptive Smoothing for Function Estimation. Washington D.C.: American University.

Yue, Y., Loh, J. M., & Lindquist, M. (2009, August 31). Adaptive Spatial Smoothing of fMRI images. The Joint Statistical Meetings. Washington D.C.

Yue, Y., & Speckman, P. (2008, March 31). Adaptive Gaussian Markov Random Fields for Spatial Modeling. The ENAR Meeting. Arlington, VA

Yue, Y., & Speckman, P. (2007, June 30). Spatially Adaptive Intrinsic Gaussian Markov Random Fields. Southern Regional Council on Statistics Meeting. Richmond, RA

Yue, Y., Speckman, P., & Sun, D. (2007, July 31). Objective Priors for Adaptive Smoothing Splines. The Joint Statistical Meetings. Salt Lake City, UT

Yue, Y., & Speckman, P. (2006, August 31). Bayesian Adaptive Thin-plate Splines. The Joint Statistical Meetings. Seattle, WA

Research Currently in Progess

Yue, Y., & Wang, X.(n.d.). A Variable Selection in Latent Class Analysis. In Progress.

Mejia, A. F., & Yue, Y.(n.d.). BayesfMRI Tutorial. In Progress.

Mejia et al. (2019) proposed a spatial Bayesian model for task fMRI analysis employing INLA for the Bayesian computation, as implemented in the INLA R package. The BayesfMRI package allows users to implement the Bayesian GLM by preprocessing the data, organizing it into the proper format, calling the necessary functions from the INLA package, applying the excursions set method described in the paper to identify areas of activation, and computing posterior quantities of interest.

TitleFunding Agency SponsorStart DateEnd DateAwarded DateTotal FundingStatus
Bayesian methods for cortical surface neuroimaging dataIndiana University07/01/201806/30/201909/20/201912886Completed
Bayesian ANOVA Modeling for Functional DataPSC-CUNY 4907/01/201806/30/201904/15/20183500Completed
Bayesian Inference for Generalized Linear Mixed Models with Predictors Subject to Detection LimitsPSC-CUNY 4707/01/201606/30/201704/15/20163500Completed
Variable Selection for Spatial Point Process ModelsPSC-CUNY 4607/01/201506/30/201604/17/20153500Completed
Bayesian General Linear Modeling Approach to fMRI Data AnalysisPSC-CUNY 4507/01/201406/30/201504/15/20143500Completed
Bayesian Spatial Modeling for Neuroimaging Meta-analysisPSC-CUNY 4407/01/201306/30/201404/15/20133500Completed
Bayesian SmoothingPSC-CUNY 4307/01/201206/30/201304/17/20123500Completed
Function estimation with adaptive Gaussian state space modelsPSC-CUNY 4107/01/201006/30/20116000Completed
Bayesian smoothing in nonparametric regrBayesian smoothing in nonparametric regressionPSC-CUNY 4007/01/200906/30/20103200Completed
Honor / AwardOrganization SponsorDate ReceivedDescription
Nomination for a Presidential Excellence Award for Distinguished TeachingBaruch College, CUNY2018
SAMSI Quasi-Monte Carlo & High Dimensional Sampling Methods for Applied Mathematics Workshop Travel Award Statistical and Applied Mathematical Sciences Institute2017
Nomination for a Presidential Excellence Award for Distinguished TeachingBaruch College, CUNY2016
SAMSI Bioinformatics Workshop Travel Award Statistical and Applied Mathematical Sciences Institute2014
Eugene M. Lang Junior Faculty Research Fellowship AwardBaruch College - CUNY2012
Teaching Excellence AwardZicklin School of Business, Baruch College - CUNY2011
SAMSI Psychometrics Workshop Travel Award Statistical and Applied Mathematical Sciences Institute2009
R. L. Anderson AwardSouthern Regional Council on Statistics and American Statistics Association2007
G. Ellsworth Huggins FellowshipUniversity of Missouri-Columbia2003

College

Committee NamePosition RoleStart DateEnd Date
Zicklin Executive CommitteeCommittee MemberPresent
Online MBA Development Faculty AdvisorPresent
Transfer Credits EvaluationFaculty AdvisorPresent
Department Executive Committee Committee MemberPresent
Undergraduate Curriculum Committee Committee MemberPresent
Undergraduate Curriculum Committee Committee ChairPresent
Zicklin Undergraduate Curriculum Committee Committee MemberPresent
Committee on the Library Committee MemberPresent
Search Committee for Faculty in StatisticsCommittee MemberPresent
Search Committee for Faculty in StatisticsCommittee ChairPresent
Course Coordinator for STA 9708Faculty AdvisorPresent
Search Committee for Faculty in StatisticsCommittee MemberPresent
Undergraduate Curriculum Committee Committee Chair12/31/2018
Zicklin Undergraduate Curriculum Committee Committee Member12/31/2018
Baruch College Faculty SenateAttendee, Meeting12/31/2016

University

Committee NamePosition RoleStart DateEnd Date
Bin Ma's PhD Dissertation Committee Committee Member1/1/201612/31/2017
Zhu Zhu's PhD Dissertation Committee Committee Member1/1/201512/31/2016

Professional

OrganizationPosition RoleOrganization StateOrganization CountryStart DateEnd DateAudience
PLOS ONEReviewer, Journal Article1/1/2020Present
SpringerReviewer, Book1/1/2013Present
CHEST JournalStatistical Editor1/1/2019Present
Biometrical JournalReviewer, Journal Article1/1/2009Present
Computational Statistics and Data AnalysisReviewer, Journal Article1/1/2010Present
Annals of Applied StatisticsReviewer, Journal Article1/1/2010Present
Statistical ModelingReviewer, Journal Article1/1/2011Present
Scandinavian Journal of Statistics Reviewer, Journal Article1/1/2012Present
Psychometrika (Journal of the Psychometric Society)Reviewer, Journal Article1/1/2012Present
Journal of the American Statistical AssociationReviewer, Journal Article1/1/2012Present
BiometrikaReviewer, Journal Article1/1/2012Present
Journal of Agricultural, Biological, and Environmental StatisticsReviewer, Journal Article6/1/2016PresentInternational
Statistics and ComputingReviewer, Journal Article1/1/2013Present
Spatial StatisticsReviewer, Journal Article1/1/2013Present
Statistica SinicaReviewer, Journal Article1/1/2016Present
TechnometricsReviewer, Journal Article1/1/2019Present
Journal of Computational and Graphical StatisticsReviewer, Journal Article1/1/2017Present
Journal of the Royal Statistical SocietyReviewer, Journal Article1/1/2017Present
NeuroImageReviewer, Journal Article1/1/2013Present
National Science Foundation, Program of Methodology, Measurement, and StatisticsReviewer, Grant Proposal1/1/2017Present
Statistics and Probability LettersReviewer, Journal Article3/1/2015Present
BiometricsReviewer, Journal Article1/1/2014Present
Environmental and Ecological StatisticsReviewer, Journal Article1/1/2014Present
Frontiers in Neuropsychiatric Imaging and StimulationReviewer, Journal Article1/1/2014Present
Journal of Statistical SoftwareReviewer, Journal Article1/1/2013Present
33rd New England Statistics SymposiumSession Chair5/31/2019
33rd New England Statistics SymposiumProgram Organizer5/31/2019
ENAR Spring MeetingsSession ChairGeorgia3/31/2018
Joint Statistical Meetings Program Organizer8/31/2009
Joint Statistical Meetings Session Chair8/31/2009