The 3rd Institute of Mathematical Statistics Asia Pacific Rim Meeting (IMS-APRM 2014)

Date: June 29 -July 3, 2014

Venue: Howard International House, Taipei

 

IMS_3rd_01
SMU-confe02
IMS_3rd_03
Some members of the SSRC attended the 3rd Institute of Mathematical Statistics Asia Pacific Rim Meeting (IMS-APRM 2014), which was held at the Howard International House, Taipei, from June 30 (Mon.) to July 3 (Thu.).
Dr. Wakaki and Dr. Yanagihara served as the organizer and the chair, respectively, of the session titled ‘Model Selection for High-Dimensional Data and Related Topics’ on the Day 1. Dr. Fujikoshi, Dr. Wakaki, Dr. Yanagihara, and Dr. Imori of the SSRC had contributed their papers to the session. In addition, Mr. Keisuke Fukui, a doctoral candidate of Hiroshima University, presented his research results at the poster session of the Meeting.
Day 1
 June 30(Mon.)

09:20-10:00
Opening Ceremony[2F Convention Hall]
10:00-10:20
Coffee Break [2F Convention Hall]
10:20-11:20
Understanding and Working with Exponential Random Graph Models [2F Convention Hall]
Plenary Speaker: Persi Diaconis (Stanford University, USA)
Chair: Feifang Hu (George Washington University, USA)
11:30-12:30
Challenges of Big Data Analysis [2F Convention Hall]
Plenary Speaker: Jianqing Fan (Princeton University, USA)
Chair: Byeong U. Park (Seoul National University, Korea)
12:30-13:30
Lunch
13:30-15:10
Sessions (See the Website)
15:10-15:30
Coffee Break
15:30-17:10
Sessions (See the Website)
Model Selection for High-Dimensional Data and Related Topics [Room 203]
Organizer: Hirofumi Wakaki (Hiroshima University, Japan)
Chair: Hirokazu Yanagihara (Hiroshima University, Japan)

Invited Papers

  1. A Consistency Property of the AIC for Multivariate Linear Models When the Dimension and the Sample Size are Large. H. Yanagihara (Hiroshima University, Japan), Hirofumi Wakaki* (Hiroshima University, Japan), Y. Fujikoshi (Hiroshima University, Japan)
  2. Lasso Penalized Model Selection Criteria for High-Dimensional Multivariate Linear Regression Analysis. Shota Katayama* (Tokyo Institute of Technology, Japan), S. Imori (Hiroshima University, Japan)
  3. On Testing the Equality of High Dimensional Mean Vectors with Unequal Covariance Matrices. Jiang Hu* (Northeast Normal University, China), Z.D. Bai (Northeast Normal University, China)
  4. High-Dimensional and Large-Sample Consistency Properties of AIC and Cp for Estimation of Dimensionality in Multivariate Models. Yasunori Fujikoshi* (Hiroshima University, Japan)

 

Day 2
 July 1(Tue.)

08:30-10:10
Sessions (See the Website)
10:10-10:30
Coffee Break
10:30-12:10
Lunch
13:00-13:40
Poster Session
Consistency Property of AIC for Selecting Variables in High-Dimensional Canonical Correlation Analysis under the Violation of Normality Assumption. Keisuke Fukui* (Hiroshima University, Japan)
13:30-15:10
Sessions (See the Website)
15:10-15:30
Coffee Break
15:30-17:10
Sessions (See the Website)
Topics in Probability and Statistical Methods [Room 205]
Chair: Satoshi Kuriki (Institute of Statistical mathematics, Japan)

Contributed Papers:

  1. The Order of Degeneracy of Markov Chain Monte Carlo Method. Kengo Kamatani* (Osaka University, Japan)
  2. The Pitman Inequality for Exchangeable Random Vectors. Gholamhossein Hamedani* (Marquette University, USA)
  3. Complex N-Body Statistics. David C. Ni* (Direxion Technology, Taiwan)
  4. Testing on Sphere. Jae-Hwan Jhong*( Korea University, Korea), Peter T. Kim (University of Guelph, Canada), Ja-Yong Koo (Korea University, Korea)
  5. Conditional Maximal Likelihood Estimation of Some Models for Contingency Tables. Mitsunori Ogawa*(University of Tokyo, Japan), Nobuki Takayama (Kobe University, Japan), Akimichi Takemura (University of Tokyo, Japan)
  6. On Asymptotically KL Loss Efficiency of a Log-likelihood-Based Information Criterion in High-Dimensional Normal Multivariate Linear Regression Models. Hirokazu Yanagihara* (Hiroshima University, Japan)
18:30-21:10
Banquet

 

Day 3
 July 2(Wed.)

08:30-10:10
Sessions (See the Website)
10:10-10:30
Coffee Break
10:30-12:10
Sessions (See the Website)
12:10-13:30
Lunch
13:00-13:40
Poster Session
Consistency Property of AIC for Selecting Variables in High-Dimensional Canonical Correlation Analysis under the Violation of Normality Assumption. Keisuke Fukui* (Hiroshima University, Japan)
13:30-15:10
Sessions (See the Website)
High Dimensional Data Analysis
Chair: Jiancheng Jiang (University of North Carolina at Charlotte, USA)

Contributed papers:

  1. Singular Value Shrinkage Priors for Bayesian Prediction. Takeru Matsuda* (University of Tokyo, Tokyo), F. Komaki
  2. Screening and Selection Method for High-Dimensional Data. Shinpei Imori* (Hiroshima University, Japan), Shota Katayama (Osaka University, Japan), Hirofumi Wakaki (Hiroshima University, Japan)
  3. Detection Boundary in High Dimensional Sparse Binary Regression. Rajarshi Mukherjee* (Harvard University, USA), Natesh Pillai (Harvard University, USA), Xihong Lin (Harvard University, USA)
  4. An Improved GeneralizedRidge Estimatorfor High-DimensionalLinearRegression. Szu-Peng Yang* (National Central University, Taiwan)
  5. Hypothesis Testing for High-dimensional Covariance Matrices. Weiming Li* (Beijing University of Posts and Telecommunications, China), Y. L. Qin (University of Waterloo, Canada)
15:10-15:30
Coffee Break
15:30-17:10
Sessions (See the Website)

 

Day 4
 July 3(Thu.)

08:30-10:10
Sessions (See the Website)
10:10-10:25
Coffee Break
10:25-12:05
Sessions (See the Website)
12:30-17:00
Excursion