Department of Mathematics

University of Mississippi

Statistics Seminar

Monday, February 3, 2017, 4:00-4:50pm, Hume 321.

Dao Nguyen
University of California-Berkeley

Iterated Filtering and Iterated Smoothing Algorithms (pdf)

Friday, April 29, 2016, 2:00-2:50 PM, Hume 321.

David Mason
University of Delaware

Bootstrapping the Student t‐Statistic (pdf)

Friday, March 25, 2016, 2:00-2:50 PM, Hume 331.

Yichuan Zhao
Georgia State University

Jackknife Empirical Likelihood Methods for the Gini Index (pdf)
A variety of statistical methods have been developed to the interval estimation of a Gini index, one of the most widely used measures of economic inequality. However there is still plenty of room for improvement in terms of coverage accuracy and interval length. In this paper, we propose interval estimators for the index and the difference of two Gini indices via jackknife empirical likelihood. Via expressing the estimating equations in the form of U-statistics, our method can be simply applied as the standard empirical likelihood for an univariate mean and avoid maximizing the profile empirical likelihood for the difference of two Gini indices. Simulation studies show that our method is comparable to existing empirical likelihood methods in terms of coverage accuracy, but yields shorter intervals. The proposed methods are illustrated using a real data set. This is joint work with Dongliang Wang and Dirk Gilmore.

Thursday, December 3, 2015, 2:00-2:50 PM, Hume 321.

Junying Zhang
Taiyuan University of Technology, Taiyuan, P. R. China

Marginal Empirical Likelihood Independence Screening in Sparse Ultrahigh Dimensional Additive Models (pdf)
Additive models have been proven to be very useful as they increase the flexibility of the standard linear model and allow a data-analytic transform of the covariates to enter into the linear model. In a high-dimensional setting where the dimensionality grows exponentially with the sample size, the urgent issue is to reduce dimensionality from high to a moderate scale. In this paper, we investigate the marginal empirical likelihood screening methods for ultrahigh dimensional additive models. The proposed nonparametric screening method selects variables by ranking a measure of the marginal empirical likelihood ratio evaluated at zero in order to differentiate the contributions of each covariate made to the response variable. We show that, under some mild technical conditions, the proposed marginal empirical likelihood screening method has a sure screening property. And the extent to which the dimensionality can be reduced is also explicitly quantified. We also propose a data-driven thresholding and an iterative marginal empirical likelihood method to enhance the finite sample performance for fitting sparse additive models. Simulation results and real data analysis demonstrate that the proposed methods work competitively and perform better than the competing methods in a heteroscedastic scenario.

Thursday, October 23, 2014, 2:00-2:50 PM, Hume 321.

Yimin Xiao
Michigan State University

On the Excursion Probabilities of Gaussian Random Fields (pdf)
Excursion probabilities of Gaussian random fields have many applications in statistics (e.g., scanning statistic and control of false discovery rate (FDR)) and in other areas. In this talk, we consider the excursion probabilities of two types of multivariate Gaussian random fields: those with smooth sample functions, and those with non-smooth (or fractal) sample functions. An important class of such random fields are those with Matérn cross-covariance functions studied by Gneiting, Kleiber, and Schlather (2010). For smooth Gaussian random fields, it is shown that the “Expected Euler Characteristic Heuristic” still holds; and non-smooth Gaussian random fields, we prove an asymptotic result which extends those of Pickands (1969), Piterbarg (1996) and Piterbarg and Stamatovich (2005). The methods for establish these two types of results are very different. This talk is based on joint works with Dan Cheng and Yuzhen Zhou.

Friday, November 2, 2012, 2:15-3:05 PM, Hume 331.

Charles Katholi
University of Alabama at Birmingham

Estimating Proportions by Group Testing: A Frequentist Approach (pdf)
Group testing is a statistical method for estimating proportions of a factor in a population by testing pools of subjects rather than individuals. Although group testing has been in the literature since 1943, the use of the method has increased dramatically in the last two decades because of the development of screening methods based on DNA amplification by PCR. The probability model for this approach is presented and a short history of the method and a survey of known results are given. Two cases are distinguished; when the pool sizes are equal and when they are not equal. A new approach to finding point and interval estimates in the case of unequal pool sizes is described and the statistical properties of the estimators are explored.

Friday, November 11, 2011 at 2:00 PM in Hume 331.

Cuilan Gao
St. Jude Children’s Research Hospital

Evaluate Agreement of Differential Expression for Translational Cross-Species Genomics (pdf)

Friday, October 21, 2011 at 2:00 PM in Hume 331.

Yang Cheng
Mississippi State University

Orbit Uncertainty Propagation Using Sparse Grid-Based Method (pdf)

Thursday, October 13, 2011 at 1:00 PM in Hume 331.

Meng Zhao
Mississippi State University

Local Linear Regression with Censored Data (pdf)

Friday, October 15, 2010 at 3:00 PM in Hume 331.

Pradeep Singh
Southeast Missouri State University

A Modified Approach in Statistical Significance for Genome Wide Studies (pdf)

Friday, April 23, 2010 at 2:00 PM in Hume 201.

Ebenezer Olusegun George
University of Memphis

On the Exchangeable Multinomial Distribution (pdf)

Wednesday, April 14, 2010 at 2:00 PM in Hume 201.

Deo Kumar Srivastava
St. Jude Children’s Research Hospital

Robust Multiple Regression based on Winsorization and Bootstrap Methods (pdf)

Wednesday, Februry 3, 2010 at 3:00 PM in Hume 331.

Paul Schliekelman
University of Georgia

Integrating Genome-wide Expression Information into Genome Scans for Complex Traits (pdf)

Friday, December 4, 2009 at 3:00 PM in Hume 331.

Justin Shows
Mississippi State University

Sparse Estimation and Inference for Censored Median Regression (pdf)

Thursday, November 12, 2009 at 1:30 PM in Hume 331.

Hanzhe Zheng
Merck Research Laboratories

Adaptive Design in Clinical Trials (pdf)

Wednesday, November 19, 2008 at 3:00 PM in Hume 331.

Stan Pounds
St. Jude Children’s Research Hospital

Reference Alignment of SNP Microarray Signals for Copy Number Analysis of Tumors (pdf)

Wednesday, October 22, 2008 at 3:00 PM in Hume 331.

Russell Stocker
Mississippi State University

Optimal Goodness-of-Fit Tests (pdf)

Wednesday, April 22, 2005 in Hume Hall room 331 at 11:00 AM.

Gauri Sankar Datta
University of Georgia

Bayesian approach to survey sampling (pdf)

Wednesday, April 6, 2005 in Hume Hall room 331 at 2:00 pm.

Dawn Wilkins
University of Mississippi

Supervised and Unsupervised Learning with Microarray Data (pdf)

Friday, April 1, 2005 in Hume Hall room 331 at 11:00 AM.

Hemant K. Tiwari
University of Alabama at Birmingham

Issues & Challenges in Genetic Analysis of Complex Disorders (pdf)

Thursday, March 10, 2005 in Hume Hall room 331 at 3:00 pm.

Ajit Sadana
University of Mississippi

A Fractal Analysis of Binding and Dissociation Kinetics of Glucose and Related Analytes on Biosensor Surfaces (pdf)

Friday, November 12, 2004 in Hume Hall room 331 at 11:00 AM.

Jane L. Harvill
Mississippi State University

Modeling and Prediction for Nonlinear Time Series (pdf)

Friday, October 29, 2004 in Hume Hall room 331 at 12:00pm.

Fenghai Duan
Yale School of Public Healthy

Probe-level Correction in Analysis of Affymetrix Data (pdf)

Friday, October 8, 2004 in Hume Hall room 331 at 11:00 AM.

J. Sunil Rao
Case Western Reserve University

Spike and slab variable selection: frequentist and Bayesian strategies (in DNA microarray data analysis) (pdf)

Friday, September 10, 2004 in Hume Hall room 331 at 11:00 AM.

Warren May
University of Mississippi Medical Center

On Being a Statistician in a Medical Center Environment (pdf)

Friday, March 26, 2004 in Hume Hall room 331 4:00pm.

Malay Ghosh
University of Florida

Hierarchical Bayesian Neural Networks: An Application to Prostate Cancer Study (pdf)

Friday, March 19, 2004 in Hume Hall room 331 at 4:00pm.

Pranab K. Sen
University of North Carolina at Chapel Hill

Constrained Inference in Statistical Practice (pdf)

Friday, February 27, 2004 in Hume Hall room 331 11:00 AM.

Ebenezer Olusegun George
University of Memphis

Statistical Methods for Analyzing Clustered Discrete Data: Applications to Teratology Studies (pdf)

Time and location to be announced.

Haimeng Zhang
Concordia College

Estimating Survival Functions In Koziol-Green Models (pdf)

Wednesday, November 19th, 2003, 11:00-12:00 Noon, Hume 331.

Deo Kumar Srivastava
St. Jude Children’s Hospital

Impact of Censoring in Survival Analysis (pdf)

Time and location to be announced.

Z. Govindarajulu
University of Kentucky

Robustness of Small Sample Size Re-estimation Procedures (pdf)

Wednesday, October 29, 2003 in Hume Hall Room 331 at 12:15 pm.

Xueqin Wang
University of Mississippi

Asymptotics of the Theil-Sen Estimator in Simple Linear Regression Model With a Random Covariate (pdf)

Thursday, October 23, 2003 in Hume Hall Room 331 at 12:00 pm.

Xueqin Wang
University of Mississippi

Unbiasedness of the Theil-Sen Estimator (pdf)

Friday, September 26, 2003 in Hume Hall Room 331 at 12:00 PM .

Patrick D. Gerard
Mississippi State University

Estimating Polulation Density in Line Transect Sampling Using Kernel Methods (pdf)