2012 - 2013 Seminars


View schedule of Statistics Discussion Group at www.auburn.edu/~zengpen/seminar

  

April 8, 2013            Time: 2:00 - 4:00           Location: Parker 362

Dr. Peng Zeng, speaker

Title: Degrees of freedom in linear regression

Abstract: In this talk, we will review the existing results on degrees of freedom and discuss its application in linear regression.

 

April 1, 2013               Time: 2:00 - 4:00          Location: Parker 362


Dr Ash Abebe, speaker

Title: On nonlinear signed-rank estimation

Abstract: I will discuss robust signed-rank estimation of the parameters of a general nonlinear regression model. Robustness is achieved by down-weighting in gradient space. I will briefly discuss extensions to harmonic type models used in texture modeling and signal processing.

This is based on joint work with current student Brice Merlin and former student Huybrechts Bindele.


March 25, 2013            Time: 2:00 - 4:00          Location: Parker 362    



Dr Guanqun Cao
will discuss
      Guo, Zhou, Huang, and Hardle (2013). Functional data analysis of generalized quantile regression
PDF version of the lecture notes is available at http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2013-001.pdf


March 18, 2013            Time: 2:00 - 4:00          Location: Parker 362           

Dr Xiaoyu Li will continue to discuss Graphical models.
        A. Montanari (2011). Lecture Notes for Inference in Graphical Models.
Pdf version is available at http://www.auburn.edu/%7ezengpen/seminar/Graphical-Models.pdf


February 25, 2013        Time: 2:00 - 4:00           Location: Parker 362.

Dr Guanqun Cao
will discuss the following paper.

I. Epifanio and N. Ventura-Campos (2011).
Functional data analysis in shape analysis.
Computational Statistics and Data Analysis, Vol 55, pp. 2758--2773.
http://www.sciencedirect.com/science/article/pii/S0167947311001307

 
February 18, 2013         Time: 2:00 - 4:00              Location: Parker 362
   

Dr Ash Abebe will talk about a joint work with Parminder Singh: Testing for Certain Patterns in Exponential Location Parameters

Abstract: Suppose that k treatments under comparison are ordered in a certain way. For example, the treatments may be increasing dose levels in dose response experiments. The exponential distribution is generally used to model the effective duration of a drug, where the location parameter is referred to as the latency period that may decrease/increase with increase in dose. I will discuss exact tests for detecting such patterns. I will present a simple recursive integration method that can be used for computing the critical constants. This recursive method is a variation of the ones described in the following two papers by AJ Hayter:

Recursive integration methodologies with statistical applications. J. Statist. Plann. Inference  136  (2006),   7, 2284 -2296.

Recursive integration methodologies with applications to the evaluation of multivariate normal probabilities. J. Stat. Theory Pract.  5  (2011),  4, 563-589.

 


February 11, 2013            Time: 2:00 - 4:00pm            Location: Parker 362

Dr Nedret Billor will talk about an ongoing research in collaboration with Seokho and Hyejin.
 
Title: M-type Smoothing Spline Estimators for Principal Functions

Abstract: We propose a robust method for estimating principal functions based on MM estimation. Specifically, we formulate functional principal component analysis into alternating penalized M-regression with a bounded loss function. The resulting principal functions are given as M-type smoothing spline estimators. Using the properties of a natural cubic spline, we develop a fast computation algorithm even for long and dense functional data. The proposed method is efficient in that the maximal information from whole observed curve is retained since it partly downweighs abnormally observed individual measurements in a single curve rather than removing or downweighing a whole curve. We demonstrate the performance of the proposed method on simulated and lip movement data and compare it with the conventional functional principal component analysis and other robust functional principal component analysis techniques.


February 04, 2013                  Time: 2:00 - 4:00pm            Location: Parker 362

Dr. Peng Zeng 
will discuss Li, Chun, and Zhao (2012). Sparse estimation of conditional graphical models with application to gene networks. Journal of the American Statistical Association, Vol 107, pp. 152--167.

A pdf version of the paper is available at the following link (from an on-campus IP address) http://www.tandfonline.com/doi/pdf/10.1080/01621459.2011.644498

 
January 28, 2013                   Time: 2:00 - 4:00pm              Location: Parker 362

Dr Xiaoyu Li will discuss A. Montanari (2011). Lecture Notes for Inference in Graphical Models.
       
You can find the pdf version of the lecture notes on the following website. http://www.auburn.edu/~zengpen/seminar/






Last updated: 04/02/2013