The First Wu Xi International Statistics Forum 7 _4 B3 x# n$ V& ^6 v! i1 a3 mJuly 17-19, 2011& m; B' w* F x( M* M7 L( D- h
Hubin Hotel, Wu Xi, China3 u' D8 S8 r6 d8 M. I& t' l" ?( U
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Conference Program , X7 {, d$ a0 r1 ~9 {. E! |2 l0 jSunday, July 17th 6 g- y* R* Z4 p4 S O& L2 `8 I # U! e+ k, x9 E* h10:00 – 10:10 Opening remark (Jun Liu)+ Q2 k# @8 l( C, O
10:10 – 10:20 Official remark + b0 Z* a* S: x/ b0 F. M10:20 – 10:30 Introduction to plenary speaker (Jun Liu) , H5 ^) J; d. Y9 I$ l
10:30 – 11:30 Plenary Speech (Don Rubin) * q; Z$ p% X. [1 ] . ]) {. h3 \7 G+ n; Q8 C11:30 Lunch( q0 S' R2 Z4 l+ Z, B/ I1 @
9 ?$ s* @" _2 f* r: \& b G1:00 – 3:00 Parallel session I ( n0 ]8 M: U, b
( M' H$ \5 j8 L$ l- ]! `8 G% Y( oA (Chair: Min Tang):, q1 W( D/ Y+ J5 [- A$ I( K
1:00 – 1:30 Adaptive Score Test for the Effects of Genetic Marker Sets ' i: d7 E2 O6 K; B9 C& |' B- }
Xihong Lin : e! `% s8 l* }$ ^
1:30 – 2:00 On computation with the accelerated failure time model; P8 I2 x2 D+ ?8 |
Yijian Huang _( q! W# E# z$ v7 D8 d
2:00 – 2:30 A Rank-Based Test for the Comparison of Multidimensional Outcomes : |" ?8 ~+ @: J) c3 f1 yKai Fun Yu 6 @/ [2 m: c/ n. o3 J2:30 – 3:00 Extending the Scope of Partial F-Test to High Dimensional Data 3 f* x5 p! t& ?9 _Hansheng Wang $ S" M7 }! f; G+ c) p1 u C' M4 D. ?2 u
B (Chair: Jin Yong):3 ?. C" i6 n, y' `
1:00 – 1:30 TBA/ w. v6 u, l8 q4 H6 T$ q
Ying Yang3 v9 A, L0 z" q% r; p
1:30 – 2:00 Bayesian analysis of generalized semiparametric linear mixed models using the Dirichlet process prior and P-spline9 w% w8 @$ ~. u% K2 m$ K
Niansheng Tang' d6 ]% v' E6 G7 Z# ]
2:00 – 2:30 Normal and Compound Poisson Approximations for the Number of PatternApproximations for the Number of Pattern Occurrences in High-throughput Sequence Reads& l; ^( x3 o9 {3 W ~
Yihui Luan ) `+ z' z0 v/ k1 F$ S# o2:30 – 3:00 Structural dimensional reduction for high-dimensional data analysis. @0 r f8 |) Y# t
Jianhua Guo' U$ B4 t4 h& C, g/ X) B
3:00 – 3:15 Tea break 0 J- M' d8 V; E0 f L( O3 w6 X, v5 g7 c$ k
! _$ w1 c; ]% P2 Q ! B1 p; l- y# K$ X 0 X3 a. m3 d) m9 h, F) u# jSunday, July 17th$ g- [3 h- `& P$ C& o
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3: 15 – 5:15 Parallel session II + ^4 d) T" h# ~7 A5 A d+ q1 v 3 ]% K+ i9 r3 _ u6 ~$ l1 K1 M3 J# _9 UA (Chair: Fangzhou Yao): 1 |& r% [; q N+ O) O2 e* v% A( e3:15 – 3:45 Genomic and Epigenomic Profiling to Understand Disease Risks1 x S- `; G" c# w M
Xiaole Liu" b+ O7 K1 o) A: i7 c
3:45 – 4:15 TBA 9 m" A+ A3 q% b7 K6 vXuegong Zhang9 E7 J9 x9 ]+ y% l* P; Q* B* q
4:15 – 4:45 Combining Exploration and Exploitation Strategies in Adaptive MCMC for Bayesian Inference - m) D" }! c2 `8 hScott Schmidler $ H0 p# @- O) a. x( {4:45 – 5:15 A Bayesian clustering approach for partitioning the conformational space of biomolecules 3 ?. c2 E" N6 s) s2 |4 _Xiaodan Fan Q$ K' v& Y: {' P
" r% W- S( u! S* f; hB (Chair: Wei Lan):7 \; e( F) U* P5 n `4 ^
3:15 – 3:45 TBA3 \% h: z; }7 |) b/ _/ f: k
Lijian Yang, f3 ]* S, h1 R
3:45 – 4:15 Instability of Predictability of Asset Returns % q! N$ k Z- M* R `0 m4 W% WZongwu Cai - B8 q7 h3 c4 W! y4:15 – 4:45 Jackknife Empirical Likelihood Method for Copulas 3 o, v5 i# O- B& h$ E1 ?Yongcheng Qi2 `9 {; X% [1 q9 E; e. [
4:45 – 5:15 Interval estimation for the tail index of a GARCH(1,1) model 7 e2 f3 [1 u/ v G ?4 Z' Y8 \Liang Peng8 h/ q, r5 ?$ d ~ u, a; }
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5:30 – 8:00 Poster session and light refreshment * C' |" ?2 J7 R# B9 ]! E6 u2 ]3 d; u3 t0 q
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Monday, July 18th8 D$ ]* L* v1 p* Y$ ]" G6 g5 M# V: L! w
3 Q# J$ u% c0 o8:50 – 9:00 Introduction to plenary speaker (Sam Kou) 2 O+ T& K- y6 O' z& O) F
9:00 – 10:00 Plenary Speech (Brad Efron)+ j9 ^7 V/ D% D& u! r& b2 _4 M
: z; }( ^) u+ c10:00 – 10:15 Tea Break ' U8 g q" C% j$ [* o7 a0 x# l5 Q* ~
10:15 – 12:15 Parallel session III 4 }7 d' ^2 ?2 e6 c8 z$ k+ K
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A (Chair: Mengyang Gu):8 k* ~. ~$ A7 \+ i8 L6 Y* X
10:15 – 10:45 Optimal Shrinkage Estimation in Heteroscedastic Hierarchical Models7 S9 c6 @* b; y% }! u
Samuel Kou5 w' b8 Z1 K4 B% H
10:45 – 11:15 Subsampling for Feature Selection& z' y- z; }4 g, R8 a v8 U
Jiayang Sun . {; @* }( d" }# X11:15 – 11:45 On Hierarchical Bayesian Nonparametric Models for Social Network Analysis - E5 i s' y* W9 t! gChunlin Ji : x- D5 T+ Q: V6 Y/ E2 o11:45 – 12:15 Penalized Least Squares Estimation with Weakly Dependent Data , X9 i# W' Y1 l6 C( j. j
Xin Tong+ H/ z l: O6 K: V
12:15 – 12:45 TBA + ^7 h% ]; q) x' X3 v: N, XMin Chen 9 N! Q$ r& T* B: @4 B . U. D, [2 p7 E- ^B (Chair: Hirose Yoshihiro):8 p: `2 e3 q! a/ P: Z. P, `
10:15 – 10:45 Identification of candidate causal genes in complex diseases through an integrated analysis of genome-wide association study and expression quantitative trait locus mapping7 f. |& A6 |( `& i. S% E+ |
Hao Li+ _: Y6 [" W! q
10:45 – 11:15 TBA5 \! _. C. E. e' o
Edoardo Airioli ; R5 n! K R+ r6 P# R; j1 U! p- f- z11:15 – 11:45 TBA + _! ^! n0 t: k: J6 VYixue Li) ]8 M" l* \# h. J
11:45 – 12:15 Statistical modeling of RNA-Seq data 9 Q& K( w1 [; y" [ P ?Wenxuan Zhong " R7 p: m1 W/ Z/ q. j7 O12:15 – 12:45 Generalized Semiparametric Regression Models with Smooth Variance Function, with Application to Medical Cost Data- {+ b9 t8 w( E+ q$ G" g9 u
Jinsong Chen $ m# l. o/ Z" r + j% q/ ?8 L% W# m1 k12:45 Lunch# J( Y) t6 E& d/ n% E, f8 \' d9 Z
0 q" o' @$ E$ F# B; x2:00 Excursion* S5 O4 T8 r# p, i7 ~) F9 n: r0 a
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6 k" \7 e, w: q% ]3 W; }% cTuesday July 19th 2 r# C9 a5 n" N+ t2 b7 v6 t- H * c6 X% Q, f1 m7 ^2 s! ?5 i; O8:50 – 9:00 Introduction to plenary speaker (Steve Qin) $ s0 Y9 {& c3 H1 {9:00 – 10:00 Plenary Speech (Jianqing Fan) & K( q4 a% ], R3 }5 c# H: W2 N1 c h
10:00 – 10:15 Tea Break& G4 d" h2 d# n; _) g8 M
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10:15 – 12:15 Parallel session IV $ Y* O" f/ k0 q( L/ _& _% { f8 g/ m! P2 m# Z
A (Chair: Rui Pan): # K) o' h5 P' R7 `$ V9 R10:15 – 10:45 TBA 2 t9 G! h0 \9 NJun Shao 9 d/ h: F8 O9 r P10:45 – 11:15 On choosing the size of data perturbation in adaptive model selection via penalization$ B9 \* x0 n5 U: y9 n; j
Hung Chen 0 J- c+ I* V: Z; H) @5 T& e7 I11:15 – 11:45 Determining probability of germline mutations in family-based sequencing studies5 B$ `# h0 M5 w
Wenyi Wang 4 `, q% \* z( g2 [& u11:45 – 12:15 Nonparametric Inference of Hemodynamic Response for fMRI data with Inhomogeneous Variances through Kernel Smoothing u: c/ C4 c J1 g8 I
Tingting Zhang9 i1 z4 a# U% r8 D. d' D
4 I# p* V2 E& {5 E8 e# EB (Chair: Wenbao Yu): $ X/ K; |1 {, R' t% \0 ?; z10:15 – 10:45 Generalized Measures of Correlation for Asymmetry, Nonlinearity in Economic Study and Beyond 9 e/ ~* v2 K: h. J9 c3 jZhengjun Zhang7 N5 C; f' V" z8 ?- A
10:45 – 11:15 Model Selection Principles in Misspecified Models; l. B+ G# n% u- ~1 {6 T
Jinchi Lv3 {# F- `. L- o1 i4 g
11:15 – 11:45 Statistical Analysis and Inference for Diffusion Tensor Imaging Data ; [4 Y4 v! j5 `, YChunming Zhang / H+ i" z/ k* W11:45 – 12:15 Analysis of Zero-Inflated Count Data from an In Vivo Genotoxicity Test 9 H5 t3 M2 j- u5 }Susan Portugal( O! i" U' j, W P: ~) G
, Z( l6 Y5 E3 l- h7 T) v6 m+ U; J12:15 Lunch* U, B( a6 M& i5 J+ ~" p$ f
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Tuesday July 19th . Y$ p7 N7 p8 g1 q) Z , l2 R1 n$ g V) t2:00 – 4:30 Parallel session V 8 n l) Q4 [' Y+ l( C O4 k, M! ]7 Z( ?2 @& z( i6 S
A (Chair: Mingche Su):0 X" E/ j0 o9 `! N+ o! { M7 J
2:00 – 2:00 Quantile Regression for Analyzing Heterogeneity in Ultra-high Dimension / l0 X2 v8 ]3 i& T# p5 pRunze Li- k. n$ L% m7 |* P( U9 j
2:30 – 3:00 High Dimensional Multinomial Clustering, q& A& N7 u4 e8 d/ d
Jin Cao2 N2 K9 I. O' \8 ^
3:00 – 3:30 Detecting Subclusters in Outliers 8 {6 u" R& G5 [' N6 v: ~Dongseok Choi: {% x5 I; T' F
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% L2 m; b0 x0 A4 ^
Chengwu Yang : W6 H9 c6 G& q* u0 ~) i4:00 – 4:30 Improve estimation efficiency of marginal proportional hazards model by a partitioning method * `$ l+ k2 d' y8 CWenjun Cui 0 q+ t) D1 X: n2 p4 d/ _4:30 – 5:00 Bayesian Multivariate Ordinal Probit Analysis of China's Consumer Confidence Index Data % @$ }8 i' w# C& xJunni Zhang, F2 [% q" H2 W1 X
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B (Chair: Yuxiang Liu):5 w% l, |3 r4 k5 P7 P& t6 Z
2:00 – 2:00 Functional Additive Regression! B) y# w r" C1 s9 \ O: w
Yingying Fan + r1 E2 B% d. r/ [) w/ n2:30 – 3:00 Robust empirical Bayes inference by conditioning on rank with application to microarray data & Z7 {- q( U. n: j/ u. {5 SJason Liao) {7 T# p. Z) r
3:00 – 3:30 Estimation for the Single-index Models with Random Effects2 d; @5 I% p I3 C0 d2 d7 a
Zhen Pang ( O" Q) Z7 C O9 N; C3:30 – 4:00 Nonlinear time series 2 `2 A# p" C+ LFuxia Cheng0 i( t. E1 P! J' \/ d( K
4:00 – 4:30 Jackknife empirical likelihood methods for risk measures and related quantities3 T. D+ j: |3 |
Ruodu Wang 0 W; Q9 N5 j% c; a: e2 a 6 L' {6 K- C8 e4 u5:00 Banquet ' O) o2 `+ S1 j- R; E
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