第一届无锡国际统计论坛

sumingche

The First Wu Xi International Statistics Forum
July 17-19, 2011
3 }- Z. z0 d) ?5 Y' E! R0 uHubin Hotel, Wu Xi, China
7 B. J% w, R% ^( ^* ^7 W
Conference Program
9 u; O- g3 @: G+ ^! p5 }$ {Sunday, July 17th

+ M8 o$ k4 g/ Y1 z3 D2 B% N7 k% r8 x10:00 – 10:10                Opening remark (Jun Liu)
- o$ V3 i( d5 \" y, J% W- A) k10:10 – 10:20                Official remark
+ N, y0 Z# F. h$ L10:20 – 10:30                Introduction to plenary speaker (Jun Liu)               
' j+ s1 Y2 `2 g: \10:30 – 11:30                 Plenary Speech (Don Rubin)
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11:30                         Lunch

1:00 – 3:00                 Parallel session I

A (Chair: Min Tang):
1:00 – 1:30                Adaptive Score Test for the Effects of Genetic Marker Sets
, W7 z  o" Y5 JXihong Lin
1:30 – 2:00                On computation with the accelerated failure time model
Yijian Huang
6 |8 N; x4 G4 D6 B+ M, @8 ^- T2:00 – 2:30                A Rank-Based Test for the Comparison of Multidimensional Outcomes
. _  A1 [: m# }( c5 {( G4 KKai Fun Yu
% |7 W6 l9 r- s$ q# d& k0 l2:30 – 3:00                Extending the Scope of Partial F-Test to High Dimensional Data
Hansheng Wang       
& o" R3 P& f! q/ E) s
  Z" K" ]# _, B$ i$ _B (Chair: Jin Yong):
+ ]1 H- b/ \, {6 T1:00 – 1:30                TBA
Ying Yang
1:30 – 2:00        Bayesian analysis of generalized semiparametric linear mixed models using the Dirichlet process prior and P-spline
5 c1 U" }/ G, y4 _6 VNiansheng Tang
) f) {7 w' D$ D( E( H/ V4 t% P0 [, |, F2:00 – 2:30        Normal and Compound Poisson Approximations for the Number of PatternApproximations for the Number of Pattern Occurrences in High-throughput Sequence Reads
Yihui Luan
2:30 – 3:00                Structural dimensional reduction for high-dimensional data analysis
Jianhua Guo
3:00 – 3:15                Tea break



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, C. H+ e# b5 L. n: y$ t! x8 tSunday, July 17th
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3 R2 }. Q1 j3 Y$ F) D  C  V* H6 W  l3: 15 – 5:15                Parallel session II
6 ^/ ?# t/ B5 x0 d% N9 i
A (Chair: Fangzhou Yao):
7 L) w# W+ d. J3 k3:15 – 3:45                Genomic and Epigenomic Profiling to Understand Disease Risks
  E" v# H7 G% V' G9 eXiaole Liu
" y+ {1 r7 D! c. N0 W3:45 – 4:15                TBA
Xuegong Zhang
+ ?; A  R- }6 m4 l4:15 – 4:45        Combining Exploration and Exploitation Strategies in Adaptive MCMC for Bayesian Inference
( Y2 k: y, K- T2 iScott Schmidler
4:45 – 5:15        A Bayesian clustering approach for partitioning the conformational space of biomolecules
Xiaodan Fan
9 P6 o; [' F( g# J0 p/ j3 T: O/ X
B (Chair: Wei Lan):
5 L6 G+ D; ?" }( q9 H. y: K8 `3:15 – 3:45                TBA
Lijian Yang
# {/ ?" |+ J: @/ G! u0 A3:45 – 4:15                Instability of Predictability of Asset Returns
2 k/ f& o$ w. ^9 gZongwu Cai
1 K' ?. w" Q2 w6 S, M# h2 ~; P4:15 – 4:45                Jackknife Empirical Likelihood Method for Copulas
5 {  Q- a3 V9 ?0 N) EYongcheng Qi
5 m2 J: }( i3 _$ p  i( s) y0 |4:45 – 5:15                Interval estimation for the tail index of a GARCH(1,1) model
' b5 Y7 |1 m; {Liang Peng

1 D- ^/ Y9 [! b" r5 c5:30 – 8:00                 Poster session and light refreshment
+ Z5 o4 `2 [; _: g# `) ^3 T- J


1 Q* @; c- w7 X# z& x1 kMonday, July 18th
6 w+ X! {+ z* X; t+ ~$ r
8:50 – 9:00                Introduction to plenary speaker (Sam Kou)               
0 E$ [9 ~) h4 M) K7 j5 a9:00 – 10:00                 Plenary Speech (Brad Efron)
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10:00 – 10:15                Tea Break

/ V' \# u2 v0 r2 M' m1 n4 E10:15 – 12:15                 Parallel session III
8 p/ p$ B( [% i
A (Chair: Mengyang Gu):
10:15 – 10:45                Optimal Shrinkage Estimation in Heteroscedastic Hierarchical Models
5 x+ |; G6 f9 h* A3 r. S9 P. oSamuel Kou
, N$ b" Y# M3 B' W/ s' N10:45 – 11:15                Subsampling for Feature Selection
6 F. N% M3 s# c$ tJiayang Sun
11:15 – 11:45        On Hierarchical Bayesian Nonparametric Models for Social Network Analysis
Chunlin Ji
11:45 – 12:15                Penalized Least Squares Estimation with Weakly Dependent Data
Xin Tong
12:15 – 12:45                TBA
, i3 [. T, Q! V  k3 iMin Chen
7 ~9 h1 g4 }6 _, q- k
( V8 `( u9 n3 Q/ X5 R0 mB (Chair: Hirose Yoshihiro):
* b) E  H" L$ s10:15 – 10:45        Identification of candidate causal genes in complex diseases through an integrated analysis of genome-wide association study and expression quantitative trait locus mapping
Hao Li
3 ^4 O( V. \$ ?7 y, H! O2 d0 j10:45 – 11:15                TBA
" G9 t4 a4 K* O* Z, H1 kEdoardo Airioli
11:15 – 11:45                TBA
1 _1 q6 L9 v! v2 `4 d; NYixue Li
11:45 – 12:15                Statistical modeling of RNA-Seq data
Wenxuan Zhong
" L5 g' W; E. Y- D12:15 – 12:45        Generalized Semiparametric Regression Models with Smooth Variance Function, with Application to Medical Cost Data
Jinsong Chen

: c: c+ v$ J+ e4 K( h0 q12:45                         Lunch
  G+ `  z0 l- U+ b
7 o+ H% ?4 a6 S' l/ {7 Y0 Q6 }2:00                        Excursion
1 m/ R9 F7 |# f' q

. R8 \. F& s/ z! X6 {8 m8 S; eTuesday July 19th
& p$ S+ h9 M4 f) c
8:50 – 9:00                Introduction to plenary speaker (Steve Qin)               
6 f4 ~% g% I0 Q$ d* d( B9:00 – 10:00                 Plenary Speech (Jianqing Fan)
& D& p/ z% l8 r. s
' Y# v6 s, I+ h2 z10:00 – 10:15                Tea Break
6 }5 A7 ?- d7 Q* C7 z/ e
10:15 – 12:15                 Parallel session IV

A (Chair: Rui Pan):
! N4 {6 A% o9 B) b10:15 – 10:45                TBA
Jun Shao               
10:45 – 11:15        On choosing the size of data perturbation in adaptive model selection via penalization
2 w' T$ `. x6 A/ M6 w$ YHung Chen
11:15 – 11:45        Determining probability of germline mutations in family-based sequencing studies
+ d8 V( z0 h0 D4 X9 p7 wWenyi Wang
) f' k3 F! m7 W. i& b11:45 – 12:15        Nonparametric Inference of Hemodynamic Response for fMRI data with Inhomogeneous Variances through Kernel Smoothing
Tingting Zhang
' p" O4 S$ n( K; H
B (Chair: Wenbao Yu):
10:15 – 10:45        Generalized Measures of Correlation for Asymmetry, Nonlinearity in Economic Study and Beyond
# f- W/ E. x& i% j+ X3 WZhengjun Zhang
10:45 – 11:15                Model Selection Principles in Misspecified Models
0 X5 @2 e4 U1 V! X) |Jinchi Lv
5 @3 o; A9 l0 @; \6 I# N11:15 – 11:45                Statistical Analysis and Inference for Diffusion Tensor Imaging Data
Chunming Zhang
% u( s1 g3 N6 Z* g11:45 – 12:15                Analysis of Zero-Inflated Count Data from an In Vivo Genotoxicity Test
" b5 P) U8 {) j8 w6 f7 g" L% F5 ASusan Portugal

12:15                         Lunch
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# K& v( s9 i0 p8 D' c) @Tuesday July 19th

; ^  c2 e+ r$ f  G4 ^2:00 – 4:30                 Parallel session V
3 ]. v+ l3 M- Y6 o' x: |
5 {+ }3 ?' R, C" W( ]+ d9 MA (Chair: Mingche Su):
& N3 p- {' R5 F% z# |  z2:00 – 2:00                Quantile Regression for Analyzing Heterogeneity in Ultra-high Dimension
Runze Li
2:30 – 3:00                High Dimensional Multinomial Clustering
% Y& Q( i4 R2 I- m& X. ]Jin Cao
' I/ A7 U$ k# L/ K* I3:00 – 3:30                Detecting Subclusters in Outliers
Dongseok Choi
3:30 – 4:00        Application of multiple-indicator multiple-causes (MIMIC) models detected and adjusted for measurement bias in racial difference of religiosity between black and white older Americans
: O& D2 s; C% s. [3 s7 l3 FChengwu Yang
4:00 – 4:30        Improve estimation efficiency of marginal proportional hazards model by a partitioning method
+ ?' i( _: Y6 M8 H# z+ x; s6 L( ^Wenjun Cui
! U* [& c8 E3 h& D+ V& I( L4:30 – 5:00        Bayesian Multivariate Ordinal Probit Analysis of China's Consumer Confidence Index Data
: w4 ]: Y% v9 u. D% c8 [6 X" gJunni Zhang

" G! C. j7 i# ~& @B (Chair: Yuxiang Liu):
1 s( N5 v" a: ?" ^9 }2:00 – 2:00                Functional Additive Regression
" i9 \. j3 h  _$ m4 m  @! e) iYingying Fan
2:30 – 3:00        Robust empirical Bayes inference by conditioning on rank with application to microarray data
Jason Liao
" z( r6 F6 ~# h, a/ j+ k* w! ]3:00 – 3:30                Estimation for the Single-index Models with Random Effects
Zhen Pang
: D' q; v' d3 ^3:30 – 4:00                Nonlinear time series
Fuxia Cheng
6 `* G: m  c- M$ B, y. `* i8 c4:00 – 4:30        Jackknife empirical likelihood methods for risk measures and related quantities
! t: N3 H7 {; h/ H9 KRuodu Wang
. N3 e. S) t. U' M8 p) _: w: R
5:00                         Banquet
! I8 }- p& f: f1 w/ C

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dingxingguang

都是BUG 这么慢 还要体力

dingxingguang

哎呀和 破 网站 还不让说？

dingxingguang

还要体力 要你MB

dingxingguang

要毛毛体力啊

+ v" C2 @( `/ W! K" p有BUG！ 我有体力下不了 要6点才行 真憋屈

jt202010