Dept. of Statistics, Sungshin Women's University, Seoul, KOREA
Dept. of Mathematics, Chuo University, Tokyo, JAPAN
| Name | Date | Place |
|---|---|---|
| 3rd meeting | 2011.11.13 | Sungshin Women's University |
| 2nd meeting | 2011.01.08-09 | Chuo University |
| 1st meeting | 2009.07.03-04 | Sungshin Women's University |
Date: 2011.11.13
Place: Sungshin Women's University
1:00pm -
A study on selection of the number of principal components
Modeling of learning curve with binary response
Effect of vitamin D on bone mineral density : (KNHANES) IV
Analysis of gold time series
Make up of the women whom the men see
3:30pm -
Sparse Bayesian Lasso Estimate
Relevance Vector Machine for Regression and Model Selection
Prediction of 3D human body shapes using principal component analysis and regression model
How do you predict winning percentages in sports?
Robust elastic net and efficient bootstrap information criteria
Date: 2011.01.08-09
Place: Chuo University
1:00pm -
Sakaori, Fumitake (Chuo University)
1:05pm - 2:30pm
Geometrical representation and properties of regularized estimation
Lag weighted Lasso
Bayesian model selection for over-dispersed Poisson regression
Discussion
2:50pm - 4:15pm
When is the best time to get married?
Modeling of learning curve with binary response
Modeling of learning curve with continuous response
Discussion
Lee, Seong Keon (Sungshin Women's University)
Date: 2009.07.03-04
Place: Sungshin Women's University
Lee, Seong Keon (Sungshin Women's University)
Classification Trees with Bivariate Linear Discriminant Node Models
Model Selection and Estimation with group lasso
A study on the bagging algorithm
Attitudes and behavior: The impact of privacy and confidentiality concerns on participation in the 2000 census
The polls-review: The late campaign swing or failure of the polls? The case of the 1998 Quebec election
Prepaid monetary incentives and data quality in face-to-face interviews: Data from the 1996 survey of income and program participation incentive experiment
Mixture Regression Model for Average Scores in Baseball
A Bayesian Hierarchical State-Space Model for Estimating Football Results
On the Propensity Score Method in Medical Statistics
Comparing Model-based Cluster Analysis and k-means Method
Interval Principal Component Analysis and Its Application
RV Statistics for Data Compression with Principal Component Analysis
Lee, Seong Keon (Sungshin Women's University)
Sakaori, Fumitake (Chuo University)