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This is the preliminary program for the 2009 Joint Statistical
Meetings in Washington, DC.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2009 Program page |
= Applied Session,
= Theme Session,
= Presenter| 436 | Wed, 8/5/09, 8:30 AM - 10:20 AM | CC-Hall D |
| Contributed Oral Poster Presentations - Contributed - Poster Presentations | ||
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Section on Statistical Learning and Data Mining |
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| Chair(s): Lara Schmidt, RAND Corporation | ||
| Poster Topic: Statistical Analysis of Text: | ||
| 37: |
Statistical Learning of Word Acquisition with Application to Readability Prediction —  Paul B. Kidwell, Purdue University; Guy Lebanon, Georgia Institute of Technology; Kevyn Collins-Thompson, Microsoft Research
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| Poster Topic: Data mining and knowledge discovery, machine learning: | ||
| 38: |
Performance of Algorithms for Chemometric Calibration — Stanislav Zakharkin, Solae; David Ryan, Solae; Nicole Mueth, Solae; Kyoungmi Kim, University of California, Davis
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| 39: |
Spatial Voxel Co-Occurrence Matrices and Correction Functions for Multiple Magnetic Resonance Imaging Scanners — Yulan Liang, University of Maryland, Baltimore; Arpad G. Kelemen, University of Maryland, Baltimore
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| Poster Topic: Bootstrap, resampling methods: | ||
| 40: |
AdaBoost from the Perspective of Importance Sampling — Qingzhao Yu, Louisiana State University Health Sciences Center
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| Poster Topic: Time series, wavelet analysis, signal processing: | ||
| 42: |
Testing Equality of Latent Variables Across Groups — Hui Huang, University of Maryland, Baltimore County
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| Poster Topic: Data mining and knowledge discovery, machine learning: | ||
| 43: |
Clustering via Data Spectroscopy — Jared Schuetter, The Ohio State University; Tao Shi, The Ohio State University
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| Poster Topic: Business, financial, and marketing statistics: | ||
| 44: |
Session-Centric Page Sequence Clustering for Improving Web Experience — Lakshminarayan K. Choudur, Hewlett-Packard Laboratories
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| Poster Topic: Computational statistics, numerical methods, simulation: | ||
| 45: |
Variable Selection for Clustering — Hyang Min Lee, Penn State University; Jia Li, Penn State University
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| Poster Topic: Mathematical statistics, distribution theory, robust statistics: | ||
| 46: |
Weighted Distance-Weighted Discrimination and Its Asymptotic Properties — Xingye Qiao, The University of North Carolina at Chapel Hill; Hao (Helen) Zhang, North Carolina State University; Yufeng Liu, The University of North Carolina at Chapel Hill; Michael Jeremy Todd, Cornell University; J. Steve Marron, The University of North Carolina at Chapel Hill
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| Poster Topic: Applications and case studies: | ||
| 47: |
The Application of Periodic Autoregressive Moving Average (PARMA) Model and Seasonal Kendall (SEAKEN) Method in Water-Quality Trend Analysis of Minnesota River — Mohammad L. Rahman, Minnesota State University; Deepak Sanjel, Minnesota State University
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| Poster Topic: Biometrics, bioinformatics, computational biology: | ||
| 48: |
Methods for the Processing of Large-Scale High-Resolution LC/MS Data — Tianwei Yu, Emory University
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| Poster Topic: Social and behavioral science: | ||
| 49: |
Regression Trees for Group-Randomized Trials — Anne-Michelle Noone, Georgetown University; Rebecca Andridge, University of Michigan
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| Poster Topic: Mathematical statistics, distribution theory, robust statistics: | ||
| 50: |
Outlier Detection in Functional Data Analysis — Pallavi Sawant, Auburn University; Nedret Billor, Auburn University
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| Poster Topic: Computational statistics, numerical methods, simulation: | ||
| 51: |
Supervised Dimensionality Reduction on the Fusion of Dissimilarity Matrices — Zhiliang Ma, Johns Hopkins University; Carey E. Priebe, Johns Hopkins University
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| Poster Topic: Categorical, multivariate analysis: | ||
| 54: |
Clustering Relationships in High-Dimensional Data — Timothy Au, Cornell University; Wei Jiang, Hong Kong University of Science and Technology
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| Poster Topic: Applications and case studies: | ||
| 55: |
Power Simulation Using Nonlinear Bayesian Prediction Model on Alcohol Dependence Literature Database — Yun-Fei Chen, Eli Lilly and Company; Haoda Fu, Eli Lilly and Company
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| Poster Topic: Experimental design: | ||
| 56: |
Planning the Optimal Get-Out-the-Vote Campaign Using Randomized Field Experiments — Aaron Strauss, Princeton University; Kosuke Imai, Princeton University
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| Poster Topic: Data mining and knowledge discovery, machine learning: | ||
| 57: |
A Comparison of Logic Regression and CART for Identifying Important SNP Interactions — Wonsuk Yoo, Wayne State School of Medicine; Michele Cote, Karmanos Cancer Institute/Wayne State University; Ann Schwartz, Karmanos Cancer Institute
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JSM 2009
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |