Xiaoyan(Iris) Lin. University of South Carolina Office: B LeConte College Fax: Columbia, SC, 29208

Transcription

1 Xiaoyan(Iris) Lin Department of Statistics University of South Carolina Office: B LeConte College Fax: Columbia, SC, Education Doctor of Philosophy in Statistics August 2008 University of Missouri - Columbia, Missouri, U.S.A. Dissertation title: Bayesian Hierarchical Models for the Memory-Recognition Experiment Advisor: Dr. Dongchu Sun GPA 4.0/4.0 Master of Science in Statistics December 2005 University of Missouri - Columbia, Missouri, U.S.A. Specialized in Mathematical Statistics Dissertation title: Exploring the General Definition of Two-dimensional Reference Priors Bachelor of Science in Statistics July 2001 East China Normal University, Shanghai, China Specialized in Probability and Statistics Certified, Program for Excellence in Teaching Spring 2005 University of Missouri- Columbia, Missouri, U.S.A. Experience Assistant Professor August 2010-present Department of Statistics, University of South Carolina, Columbia, SC, USA Visiting Assistant Professor August 2008-August 2010 Department of Statistics, University of South Carolina, Columbia, SC, USA Graduate Fellow January 2008-May 2008 Statistical and Applied Mathematical Sciences Institute (SAMSI), RTP, NC USA Graduate Instructor, Graduate Research Assistant, Graduate Teaching Assistant August 2003-August 2008, Department of Statistics, University of Missouri, Columbia, MO 65201, USA Page 1 of 7

2 Honors Young faculty travel grant, SRCOS, Carolina Beach, June, Travel award, ENAR Junior Investigator Workshop, New Orleans, March, Superior Graduate Student Achievement Award, , Graduate school, University of Missouri-Columbia. Travel award to Joint Statistical Meeting 2007, Graduate school, University of Missouri Columbia. Three first-class scholarships, , Department of Statistics, East China Normal University. Research Interests Bayesian Hierarchical Modeling Objective Bayesian Analysis Bayesian Semi- and Non-parametrics Bayesian Survival Analysis Measurement Error Item Response Theory Agreement Measures Teaching Stat 515: Statistical Methods I Stat 516: Statistical Methods II Stat 518: Nonparametric Statistical Methods Stat J702: Introduction to Statistical Theory I Stat J703: Introduction to Statistical Theory II Stat 714: Linear Statistical Models Publications J. Wang and X. Lin (2017+). "Bayesian Semiparametric Proportional Mean Model for Panel Count Data", Submitted to Lifetime Data Analysis. X. Lin, H. Chen, D. Edwards, and K. Nelson (2017+). Modeling Rater Diagnostic Skills in Binary Classification Processes, Submitted to Statistical Methods in Medical Research. C. Pan, B. Cai, L. Wang, and X. Lin (2016+). ICBayes R package: Bayesian Page 2 of 7

3 semiparametric models for interval-censored data", under revision for Journal of Statistical Software. X. Lin (2015). A Bayesian semiparametric accelerated failure time model for arbitrarily censored data with covariates subject to measurement error. Communications in Statistics Simulation and Computation, 46, DOI: / X. Lin, B. Cai, L. Wang, and Z. Zhang (2015). Bayesian proportional hazards model for analyzing interval-censored data. Lifetime Data Analysis, 21, C. Pan, B. Cai, L. Wang and X. Lin (2014). Bayesian semi-parametric model for Spatial interval-censored survival data. Computational Statistics and Data Analysis, 74, X. Lin, D. Sun, P. L. Speckman, and J. N. Rouder (2013). Existence of MLE and posteriors for a recognition-memory model. Statistics and Probability Letters, 83, L. Wang, X. Lin, and B. Cai (2012) Bayesian semiparametric regression analysis of interval-censored data with monotone splines. Book chapter in Interval-Censored Timeto-Event Data: Methods and Applications, eds. D. Chen, J. Sun, and K. Peace, pp X. Lin and L. Wang (2011). "Bayesian proportional odds models for analyzing current status data: univariate, clustered, and multivariate. Communications in Statistics Simulation and Computation, 40, L. Wang and X. Lin (2011). Two Bayesian Approaches for Analyzing Case 2 Intervalcensored Data under the Semiparametric Proportional Odds Model. Statistics and Probability Letters, 81, B. Cai, X. Lin, and L. Wang (2011). Bayesian Proportional Hazards Model for Current Status Data Using Monotone Splines. Computational Statistics and Data Analysis, 55, X. Lin and D. Sun (2010). A Note on the Existence of the Posteriors for One-way Random Effect Probit Models. Statistics and Probability Letters (2010), vol. 80, X. Lin and L. Wang (2010). A Semiparameteric Probit Model for Case 2 Intervalcensored Failure Time Data. Statistics in Medicine (2010), vol. 29, Page 3 of 7

4 Technical Reports X. Lin, J. Berger, and D. Sun (2009). Reference Priors under Partial Invariance. X. Lin, D. Sun, and J. Berger (2008). The Formal Definition of Reference Priors for Multi-dimensional Cases. X. Lin and D. Sun (2007). Objective Bayesian Analysis in Memory Study, 2007 Joint Statistical Meeting Proceedings. Working Papers X. Lin (2016+). Effect of skewed and nonparametric link functions for rater-item binary data. X. Lin and L. Wang (2014+). A Bayesian Semiparametric Probit Model for Multivariate Interval-Censored Data. X. Lin and D. Sun (2012). Objective Bayesian Analysis for Two-way Random Effect Probit Models. Manuscript. X. Lin (2012). Bayesian Nonparametric Link for Dichotomous Response Data. Professional Presentations Invited talks Presented an invited talk Simultaneous Modeling of Propensity for Disease, Rater Bias and Rater Diagnostic Skill in Dichotomous Subjective Rating Experiments, Department of Statistics, Miami University, Oxford, OH, March, Presented an invited talk Bayesian Analysis for Dichotomous Subjective Disease Diagnosis, Department of Mathematics and Statistics, University of North Carolina- Charlotte, November, Presented an invited discussion on the talk Objective Bayesian Analysis of Counting Experiments by Diego Cassadei, at O-Bayes13, Durham, December, Presented an invited talk Bayesian Semiparametric Regression Models for Intervalcensored Data, School of Finance and Statistics, East China Normal University, Shanghai, May, Invited Discussion on the talk Objective Bayesian Analysis for Exponential Power Regression Models, at O-Bayes11, Shanghai, June, A Semiparameteric Probit Model for Case 2 Interval-censored Failure Time Data, Page 4 of 7

5 Department of Epidemiology and biostatistics, University of South Carolina, November, Presented an invited talk Reference Priors under Partial Invariance at O-Bayes09, Philadelphia, June, Contributed talks/posters A poster Bayesian semiparametric regression models for interval-censored data at the 51st SRCOS Summer Research Conference, Carolina Beach, June, Bayesian Regression Analysis of Multivariate Interval-censored Data, at ENAR, Orlando, March, Bayesian Semiparametric Accelerated Failure Time Models for Arbitrary Censored Data Subject to Covariate Measurement Error, at ENAR, Washington DC, April, A topic contributed talk Objective Bayesian Analysis in Memory Study at JSM, Salt Lake City, Utah, July, A poster Exploring the General Definition of Two-dimensional Reference priors in SAMSI summer 2007 program on Challenges in Dynamic Treatment Regimes and Multistage Decision-Making, June 18-29, "Bayesian Hierarchical Models for the Two-Component Memory Process" at ENAR Spring Meeting, Atlanta, Georgia, March, Seminars A Semiparametric Probit Model for Interval-censored Failure Time Data, Department of Computer Science and Engineering, University of South Carolina, September, Bayesian Semiparametric Spline Regression, Department of Statistics, University of South Carolina, October, Bayesian Semiparametric Accelerated Failure Time Models for Arbitrary Censored Data Subject to Covariate Measurement Error, Department of Statistics, University of South Carolina, October, Bayesian Semiparametric Regression Models for Interval-censored Survival Data, Department of Statistics, University of South Carolina, April, A Semiparametric Probit Model for Interval-Censored Failure Time Data, Department of Statistics, University of South Carolina, February, Page 5 of 7

6 Prior Information and Decision Theory, Department of Statistics, University of South Carolina, November, Objective Bayesian Analysis in the Memory Recognition Experiment, Department of Statistics, University of South Carolina, October, Grant Experience PI, R03, NIH (2015), Assessing and improving radiologist s diagnostic bias and skill. (submitted) Co-PI, NSF (2015), CSR: Small: Real-Time Multidimensional Fault Diagnosis and Prognosis with Its Application on Micro-UAVs". (submitted) PI, Social sciences grant program, Internal grant (2013), Statistical assessment for reading accuracy of screening mammogram (not funded). Co-I, R21, NIH (2011, 2012) Efficient Estimation and Model Evaluation for Interval- Censored Data (not funded) Co-I, R01, NIH (2010) Agreement Webs (not funded) Students Advised Jianhong Wang, Ph.D student, in progress Yong Shan, Ph.D student, in progress (co-advised with Bo Cai.) Hua Chen, Ph.D student, finished (co-advised with Don Edwards.) Professional Service Journal Reviewer for Advances in statistics, Biostatistics, Communications in Statistics, Journal of Statistical Planning and Inference, Computational Statistics and Data Analysis, Journal of Statistical Computation and Simulation, Bayesian Analysis, Statistics and Probability Letters, Biometrics, Journal of Statistical Distributions and Applications, Ammons Scientific. ASA chapter representative Aug2011-Aug2014 Departmental Service Faculty search committee Aug2012-Aug2014 Master qualifying exam committee Aug2012-present Computer committee Aug2012-Aug2014 PhD qualifying exam committee Aug2011-Aug2012, Aug 2014-present Stat515 coordinator Aug2011-Aug2012 Page 6 of 7

7 Librarian representative Aug2010-Aug2012, Aug 2014-present Served on 9 statistics PH.D. committees Professional Membership American Statistical Association International Biometric Society International Society for Bayesian Analysis Page 7 of 7