Third North American Conference of New Researchers


Senior Speakers

Steve Marron, University of North Carolina:

Rob Tibshirani, University of Toronto:

Panel Discussion: Funding opportunities

Panel Discussion: Professorial life


Conference Participants: New Researchers

  • Sudeshna Adak. " Improved Contrast Enhancement in Grey-level Images with Fast Region-based Segmentation Using Quad Trees".
  • David Higdon. Estimation of Blurring in Scanning Magnetoresistance Microscopy.
  • Lynne Seymour. Bootstrapping for Properties of the Maximum Pseudo-Likelihood Estimator.
  • Cheng Cheng. Nonparametric Quantile Estimation by Data-driven Smoothing.
  • Barbara Ann Bailey. Local Lyapanov Exponents: A Closer Look at Chaos, With Confidence.
  • Yazhen Wang. Wavelets in Statistics.
  • T. Tony Cai. Minimax Wavelet Estimation via Block Thresholding.
  • Todd Ogden. Wavelets in Bayesian Change Point analysis.
  • Zongwu Cai. Score Tests for Heteroscedasticity in Wavelet Regression.
  • Mark Glickman. Parameter Estimation in Large Dynamic Paired Comparison Experiments.
  • Richard Levine. Improved Markov-Chain Monte Carlo Sampling Schemes.
  • Hiroko Kato. A Study of Nonstationary/Nonlinear Time Series Analysis for FO Control.
  • Abhinanda Sarkar. On Alternating Processes, Heavy-Tailed Distributions, Long-Range Dependence and Empirical Finance.
  • Robert Lund. Rates of Convergence for Ordered Markov Chains.
  • Steven Kou. Polynomials and Discrete Random Variables
  • Friedrich Leisch. Monitoring with the Generalized Fluctuation Test.
  • Nancy Clements. Estimating Treatment Effects in Observational Studies: Properties of an Estimator Based on Propensity Scores.
  • Ken Gerow. On Variance Estimation for Regression Estimators.
  • Daniel Hall. Variance Estimators for Mantel-Haenzel Estimators Under Stratified Random Sampling in a Finite Population.
  • Michael Sherman. Omnibus Confidence Intervals.
  • Yuhong Yang. Adaptive Function Estimation.
  • Mary Meyer. An Extension of Mixed Primal-Dual Bases Algorithm to the Case of More Constraints than Dimensions.
  • Jianhua Huang. Functional ANOVA Models in Multiple Regression.
  • James Mays. Mixing Procedures for Obtaining a Model-Robust Fit.
  • Timothy Robinson. Dual Model Regression.
  • Dan Nettleton. Order-Restricted Hypothesis Testing in a Variation of the Normal Mixture Model.
  • Rebecca Doerge. Statistical Tests and Threshold Values for Locating Quantitative Traits Loci in Experimental Populations.
  • Konstantinos Fokianos. On Combining Instruments.
  • Andrew Royle. A Hierarchical Approach to Bivariate Spatial Prediction.
  • Aparna V. Huzurbazar. Flowgraph Methods for Reliability Data.
  • Nicole Lazar. A Look at the Efficiency of Empirical Likelihood.
  • Joseph Cavanaugh. A New Class of Model Selection Criteria Based on Kullback's Symmetric Divergence.
  • Ramani Pilla. New Data Augmentation and Its Consequences in High-dimensional Mixtures.
  • Keith Baggerly. Empirical Likelihood as a Goodness-of-Fit Measure.
  • Li-Shan Huang. Testing the Adequacy of a Linear Model via Critical Smoothing.
  • Michael Fugate. Graphical Methods for Checking Lack of Independence Lack of Fit for Linear Models.
  • Bruce Craig. Bayesian Model Selection for Population Dynamics Application.
  • Wei-Hsiung Chao. Analysis of Longitudinal Categorical Outcomes with More Frequently Observed Covariates.
  • Justine Shults. The Analysis of Serially Correlated Data Using Quasi-Least Squares.
  • Jiming Jiang. Inference About Generalized Linear Mixed Models.
  • Sujay Datta. 'Fine tuning' a Multi-stage Inference Procedure for Improving Second-Order Asymptotics.
  • Sudesh Srivastav. On the Class of 2x2 Balanced Incomplete Block Designs With Nested Rows and Columns.
  • Weizhen Wang. On Equivalence of Two Variances of a Bivariate Normal Vector.
  • Hammou El Barmi. Estimation of Weighted Multinomial Probabilities Under Order Constraints.
  • Ramone Durazo-Arvizu. Estimating the Nadir of the Body Mass Index-Mortality Relationship.
  • Thomas Loughin. Testing for Association in Contingency Tables With Multiple Column Responses.
  • Said Alkarni. Approximation to the Distribution Function of a Positive Definite Quadratic Form.
  • Michael Baron. Nonparametric Detecting Abrupt Distributional Changes in Sequentially Obtained Data.
  • W. Matt Briggs. T.B.A.
  • Hegang Chen. Theory of Optimal Blocking: 2n-m Designs.
  • Christian Galindo. On Nonparametric Estimation of Mean Functionals.
  • Mark Irwin. Pedigree Reconstruction with Partial Genetic Information.
  • Anand Ramaswami. Determining the optimal number of exponentials for a given data set.
  • Grzegorz Rempala. Symmetric Polynomial Estimators.
  • Yongzhao Shao. On Bootstrapping Empirical Processes indexed by VC classes.
  • James Yuhai Wu. A Case Study of Wavelet Estimation for Non- Gaussian Error in Nonparametric Regression.