IMS New Researchers Conference Program

July 28th - July 31st, 2009

Arrival July 27th

Schedule July 28th -- Maryland Hall 110

• 8:00-8:45 Breakfast at Nolan's Cafe
• 8:45-9:00 Introductory Remarks
• 9:00-10:20 Scientific Session on Spatial-temporal data
• Farouk Nathoo, University of Victoria
  Joint Spatial Modelling of Recurrent Infection and Growth with Processes Under Intermittent Observation
• Jing Zhang, Miami University
  Zero-inflated Bayesian spatial models with repeated measurements
• Pál Rakonczai, Eötvöos Loránd University, Hungary
  Modeling Multivariate Extremes for Wind Speed Data
• Debashis Mondal, University of Chicago
  De Wijs Process and Modeling Disease Risk
• Guilherme Rocha, Indiana University
  Monitoring Civil Structures Using Restricted Auto Regressive Models and Wireless Sensor Networks (WSNs)
• 10:20-10:40 Break
• 10:40-12:00 Scientific Session on Spatial-temporal data
• Lily Wang, University of Georgia
  Spline-Backfitted Kernel Smoothing of Additive Models in Time Series
• Jin-Hong Park, College of Charleston
  Central Mean Subspace in Time Series
• Peng Zhang, University of Alberta
  Joint Mean-covariance Modeling with Nonlinear Random Mean Models for Longitudinal Data Analysis
• Rongning Wu, Baruch College
  A Negative Binomial Model for Time Series of Counts
• Olu Awosoga, Western Michigan University
  Meta Analyses of Multiple Baseline Time Series Design Intervention Models for Dependent and Independent Series
• 12:00-1:45 Lunch at Nolan's Cafe
• 1:45-2:50 Scientific Session on Bayesian Inference
• Kshitij Deepak Khare and Bala Rajaratnam, Stanford University
  Inference in Gaussian Covariance Graph Models
• Weixin Yao, Kansas State University
  Bayesian Mixture Labeling by Highest Posterior Density
• James Flegal, University of California, Riverside
  Markov Chain Monte Carlo: Can We Trust the Third Significant Figure?
• 2:50-3:15 Break
• 3:15-4:30 Tweedie Award Speaker
  Jiashun Jin, Department of Statistics, Carnegie Mellon University
  Higher Criticism Thresholding: Optimal Feature Selection when Useful Features are Rare and Weak
• 5:00-- ? Social outing in Baltimore -- take the Hopkins shuttle bus to Peabody
  Restaurants in Mt Vernon:
• Helmand at 806 N Charles St, Afghani food
• Indigma at 802 N Charles St, Indian food
• My Thai at 800 N Charles St, Thai food

Schedule July 29th -- Maryland Hall 110

• 8:00-8:45 Breakfast at Nolan's Cafe
• 8:45-9:00 Introductory Remarks
• 9:00-10:20 Scientific Session on Experimental Design
• Tirthankar Dasgupta, Harvard University
  D-Optimal and Sequential Designs for Estimating Parameters of the Linear-Exponential Growth Curve of Nanowires
• Ying Hung, Rutgers, the State University of New Jersey
  Design and Analysis of Computer Experiments with Branching and Nested Factors
• Edgard Maboudou-Tchao, University of Central Florida
  Some Theoretical properties of the Multivariate Exponentially Weighted Moving Covariance Matrix
• Vincent Agboto, Meharry Medical College
  A Bayesian Approach to Model Robust Designs
• Jingchen Liu, Columbia University
  Statistics Can Lie But Can Also Correct for Lies: Reducing Response Bias in NLAAS via Bayesian Imputation
• 10:20-10:40 Break
• 10:40-11:45 Scientific Session on Count Data
• ChengYong Tang, National University of Singapore
  Local Post-Stratification in Dual System Accuracy and Coverage Evaluation for US Census
• Wanhua Su, University of Alberta
  Statistical Inference on Recall, Precision and Average Precision
• Hyokyoung Hong, Baruch College
  Prediction of Conditional Quantiles Based on a New Ordinal Regression Model
• Xiaofeng Wang, Case Western Reserve University
  Spatial models for replicated regional count data in neuroscience
• 12:00-1:30 Lunch at Nolan's Cafe
• 1:30-2:35 Scientific Session on Model Selection
• Sonja Greven, Johns Hopkins University
  On the Behavior of Marginal and Conditional Akaike Information Criteria in Linear Mixed Models
• Qin Wang, University of Georgia
  Sufficient Dimension Reduction and Variable Selection: A Localized Approach
• Julia Salzman, Stanford University
  Detecting Multivariate Dependencies in High Dimensional Data
• Hugh Miller, University of Melbourne
  Local polynomial regression incorporating variable selection
• 2:35-3:00 Break
• 3:00--4:00 Mentoring Panel
• 5:00--7:30 Dinner Banquet with Speaker Karen Bandeen-Roche, "Latent Variables and Your Future"
  Salon C in Charles Commons

NIH/NCI schedule July 30th -- NIH campus

• 6:45-7:00 Board the Broadway Shuttle bus in front of Charles Commons
• 7:00-8:00 Commute to Bethesda
• 8:00-8:30 Arrive at NIH, pass through security (everyone will require a driver's license or passport)
• 8:30-8:45 Coffee and Breakfast
• 8:45-9:00 Introduction by Nilanjan Chatterjee, Chief of the DCEG Biostatistics Branch
• 9:00-9:50 Scientific Session on Biostatistics
• Chiung-Yu Huang, Mathematical Statistician, Biostatistics Research Branch, NIAID, NIH
  Analysis for recurrent event data with informative censoring
• Ju Hyun Park, Visiting Fellow, Biostatistics Branch, DCEG, NCI
  Evaluation of power and & Risk prediction utility of future genome-wide association studies
• 9:50-10:10 Break
• 10:10-11:15
• Hormuzd Katki, Tenure-Track P.I., Biostatistics Branch, DCEG, NCI
  Insights into p-values and Bayes Factors from False Positive and False Negative Bayes Factors
• Norou Diawara, Old Dominion University
  Mixture of Bivariate Exponential Distributions
• Rajeshwari Sundaram, Tenure Track PI, Biostatistics and Bioinformatics Branch, DESPR, Eunice Kennedy Shriver National Institute of Child Health and Human Development
  Statistical challenges in modeling human fecundity
• 11:15-12:00 NIH Branch Chief Panel:
• 1. Paul Albert, Biostatistics and Bioinformatics Branch, NICHD
• 2. Eric (Rocky) Feuer, Statistical Research and Applications Branch, NCI
• 3. Gang Zheng, Office of Biostatistics Research, NHLBI
• 4. Edward Korn, Biometric Research Branch, NCI
• 12:00-1:30 Lunch with Speaker Kai Yu, Tenure-Track Principal Investigator, Biostatistics Branch, DCEG, NCI, "Statistical Challenges in Gene Mapping"
• 1:40-2:45 Scientific Session on Statistical Genetics
• Huilin Li, Research fellow, DCEG, NCI
  Finding SNP Associations with a Secondary Phenotype in Genetic Association Studies
• Dawei Liu, University of Iowa
  Estimation and Testing for the Effect of a Genetic Pathway on a Disease Outcome Using Logistic Kernel Machine Regression via Logistic Mixed Models
• Jason Wilson, Biola University
  Evidence that Oligonucleotide Expression Values Are Not Normally Distributed
• Arabin Kumar Dey, IIT Kanpur
  Discriminating between two Bivariate Survival Models: Bivariate Weibull and Bivariate Generalized Exponential distribution
• 2:45-3:10 Break
• 3:10-4:00
• Samsiddhi Bhattacharjee, Research Fellow, Biostatistics Branch, DCEG, NCI
  Robust Detection of Gene-Gene Interactions in Presence of Hidden Stratification.
• Nak-Kyeong Kim, Old Dominion University
  Finding Sequence Motifs with Bayesian Models Incorporating Positional Information
• Qunhua Li, University of California, Berkeley
  Measuring the consistency of high-throughput biological experiments
• 4:00-4:45 Panel of NIH Grant Agencies
• 1. Michelle Dunn, Statistican Research and Applications Branch, NCI: "Grant Opportunities for New Researchers"
• 2. Misrak Gezmu, Biostatistics Research Branch, NIAID: "NIH grant mechanisms and funding process"
• 5:00-? Head to downtown Bethesda for dinner

Schedule July 31st -- Maryland Hall 110

• 8:00-8:45 Breakfast at Nolan's Cafe
• 8:45-9:00 Introductory Remarks
• 9:00-10:05 Scientific Session 9
• Jiguo Cao, Simon Fraser Univeristy
  Statistical Inference for Dynamic models with the Generalized Profiling Method
• Zi Jin, University of Toronto
  Efficiency of Composite Likelihoods
• Bodhisattva Sen, Columbia University
  Bootstrap in some Non-standard Problems
• Yuefeng Wu, North Carolina State University
  Posterior Consistency for some Semi-parametric Problems
• 10:05-10:25 Break
• 10:25-11:45 Scientific Session 10
• Ahmad Yasamin, Statistical and Applied Mathematical Sciences Institute
  On Existence of the Maximum Likelihood Estimator for Gaussian Graphical Models
• Yanping Xia, Southeast Missouri State University
  Generalized Variable Approach for Correlation Analysis
• Jason Morton, Stanford University
  Algebraic Models for Multilinear Dependence
• David King, Arizona State University
  Topics in Functional Canonical Correlation
• Andrada Ivanescu, East Carolina University
  Adaptive Inference for Sparse Signals in Functional Data
• 12:00-2:00 Lunch Banquet with Speaker Nanny Wermuth, "The development of graphical Markov models: some history and some personal experiences."
  Salon B in Charles Commons
• 2:00-3:30 Journal Panel -- Maryland Hall 110
  Bernard Silverman - Annals of Statistics ed., Thomas Louis - Biometrics ed.