The First Wu Xi International Statistics Forum 3 D" G7 Z% Z" u8 [' OJuly 17-19, 2011 . [9 [8 ^# E1 \% W+ YHubin Hotel, Wu Xi, China ) u, W) ~* A+ A; o+ r8 v, f6 p" q, l: M2 u( n
Conference Program( C x3 r( {/ E- w* K' B
Sunday, July 17th# X- q# ]9 k% T; u
# c1 c" U$ b: L& S) }A (Chair: Min Tang):% }: e- V* F3 p( B c
1:00 – 1:30 Adaptive Score Test for the Effects of Genetic Marker Sets " w) P9 k; k( ~1 V9 vXihong Lin " k" R, u/ y! A. s1:30 – 2:00 On computation with the accelerated failure time model# G3 d2 W; q; I2 S. I
Yijian Huang # O# n8 u6 v$ ?$ B* A2 ]5 M2:00 – 2:30 A Rank-Based Test for the Comparison of Multidimensional Outcomes ' D) R9 F5 Y! r3 T( d% B5 qKai Fun Yu1 q( f. m+ y, p: K
2:30 – 3:00 Extending the Scope of Partial F-Test to High Dimensional Data2 U8 E4 o9 l j
Hansheng Wang ( a7 m$ W" M4 K# F) E
2 G& D9 b1 ?$ H$ R8 u/ s* i
B (Chair: Jin Yong):# s6 @1 `! b) d& a% o
1:00 – 1:30 TBA 8 Y/ P/ C' }% b+ @% r/ MYing Yang4 n! O) I9 i6 u1 K8 q5 x9 i
1:30 – 2:00 Bayesian analysis of generalized semiparametric linear mixed models using the Dirichlet process prior and P-spline n- `+ W* e( _6 KNiansheng Tang ' x: P5 ?% B: C( l, f0 l2:00 – 2:30 Normal and Compound Poisson Approximations for the Number of PatternApproximations for the Number of Pattern Occurrences in High-throughput Sequence Reads 1 I z/ v" x% EYihui Luan . q$ F/ m; L! b- N8 I2:30 – 3:00 Structural dimensional reduction for high-dimensional data analysis 5 S3 ^* T. W# Z5 z, s ?" |Jianhua Guo 9 d e2 x7 G6 }* `7 J3:00 – 3:15 Tea break 7 L8 E% W5 s8 K4 I2 \/ R8 m 4 w( k- w- g$ q1 L ; c3 H7 g$ F% j' R( {8 V , B3 ]7 k) x5 ~ ' j5 A' n B8 i9 ~- O2 z" zSunday, July 17th2 ]5 `8 F$ b! O& F& n+ ^
9 v& I) z, D5 I0 h- P9 q
3: 15 – 5:15 Parallel session II 9 ~; S% O2 r# k3 U; k+ H2 y" o4 K0 s / c1 v1 f" S1 l" G+ t6 MA (Chair: Fangzhou Yao): - `4 _: w$ A; Y: a- h0 K3:15 – 3:45 Genomic and Epigenomic Profiling to Understand Disease Risks g& g. h& u& i! S8 qXiaole Liu $ _$ ]" \5 G, [3:45 – 4:15 TBA 0 @# \+ y$ Q; }* R; SXuegong Zhang 6 }+ [% ]8 X7 d) P. Z4:15 – 4:45 Combining Exploration and Exploitation Strategies in Adaptive MCMC for Bayesian Inference% M. d+ _5 Y/ p3 x- z3 S
Scott Schmidler) p/ U7 L; P7 c& j, t+ J
4:45 – 5:15 A Bayesian clustering approach for partitioning the conformational space of biomolecules 2 Y( o+ ~/ n$ i X9 N1 Z5 E7 k; MXiaodan Fan . u6 a! n O3 X" e0 ` M8 f, V; ]9 U3 K; ]+ y) K2 J- i! b5 O2 X4 @" j% W
B (Chair: Wei Lan):7 K- s: I( n( P2 ?
3:15 – 3:45 TBA # C; G* ?4 R3 F4 FLijian Yang ( a! V- v8 K& N/ V- `* ~3:45 – 4:15 Instability of Predictability of Asset Returns. o) u m5 O% i7 f
Zongwu Cai 7 E. ~) Q) S4 x" C1 u4:15 – 4:45 Jackknife Empirical Likelihood Method for Copulas, ?0 a X2 M+ V# i. o4 F/ B0 t& y
Yongcheng Qi0 Z2 R- o' ~7 N" u; T$ @! ]) \7 v
4:45 – 5:15 Interval estimation for the tail index of a GARCH(1,1) model / F$ Z" R! M/ t7 I* B+ uLiang Peng # q% o' j3 E0 H M% N x9 E5 g ; f+ G$ x6 o a) g* _( ^5:30 – 8:00 Poster session and light refreshment, H" l* S) D' S
0 }+ A8 ]' `* s& C - _3 K$ M5 }% k* a 0 q; e# X1 P- _/ S) s
Monday, July 18th 5 m$ s }, S( F G; ?% F4 I2 e $ i4 b; N6 x/ X. o! ]$ B8:50 – 9:00 Introduction to plenary speaker (Sam Kou) ' S0 { o- W9 D9:00 – 10:00 Plenary Speech (Brad Efron) : Q7 u- V0 P& K& X% G( I3 o6 B ) `3 V/ D ~" Q5 \- m: w" `10:00 – 10:15 Tea Break. [9 G( }& i. n
. f: s0 |! {/ k7 r4 S. w10:15 – 12:15 Parallel session III ! V9 K. a& Y5 z9 W$ x# h! B
) n, c( l! x! L' UA (Chair: Mengyang Gu): 6 x. E9 _2 V7 I+ C10:15 – 10:45 Optimal Shrinkage Estimation in Heteroscedastic Hierarchical Models " A5 V9 F4 H2 J" m% YSamuel Kou0 W; C& X4 T: g4 W
10:45 – 11:15 Subsampling for Feature Selection - E! o% N7 q% @3 N) z8 I sJiayang Sun( q3 C, B# b& U! ~% @& j8 z9 q
11:15 – 11:45 On Hierarchical Bayesian Nonparametric Models for Social Network Analysis 2 Y# |2 |$ O2 s$ K+ D! {7 H* n6 E B- aChunlin Ji P# z& _, i, K4 s L' _& G/ g0 f
11:45 – 12:15 Penalized Least Squares Estimation with Weakly Dependent Data 7 B4 ^6 x2 }* s" t% @% @8 p
Xin Tong - j9 V# S) X9 r# g12:15 – 12:45 TBA 7 K0 q4 B: J" T# I1 ~( zMin Chen8 Z( [% o% m8 a3 B [7 k6 {! D% Z
9 o* w! |& A. U4 W2 T l$ C
B (Chair: Hirose Yoshihiro): ! j4 O& p% p' R) ]# }9 S1 f10:15 – 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+ @% K/ O" p7 G& ~* Z
Hao Li6 Y6 J. h: u4 m. w1 \% |/ V! i
10:45 – 11:15 TBA ' j/ |. a1 N, Q- t" k) {4 ]3 |Edoardo Airioli/ z/ o6 Z7 E3 f3 c# ]! d6 B
11:15 – 11:45 TBA8 ^, a* R2 H; B5 X$ M# x( y
Yixue Li 4 V: y: v7 y9 X# ?/ G4 q11:45 – 12:15 Statistical modeling of RNA-Seq data8 U1 x( A# n# d& U$ W/ r {
Wenxuan Zhong) s0 J, u8 `( @* f* i7 o& L) \
12:15 – 12:45 Generalized Semiparametric Regression Models with Smooth Variance Function, with Application to Medical Cost Data . K9 V" f* s# ~, a6 G$ y8 _Jinsong Chen : W0 u/ r8 P- n6 F; O6 `. m' c2 S# _. `5 N
12:45 Lunch2 e+ E- X( f" N# Q& g0 O
0 _4 F' V* y) L* F7 J9 a: J2 W% t2:00 Excursion+ V8 D' P! G0 d: B- ?. J& B0 a
+ J( I; \! ]4 M' Z; i* R
9 u. e5 z/ s5 l0 T
Tuesday July 19th , R! K- M1 v9 H) \6 a1 P0 v2 T% d4 j, P- f6 }% e2 W% P. g7 o
8:50 – 9:00 Introduction to plenary speaker (Steve Qin) % D: d: B! s! A$ n& N1 m
9:00 – 10:00 Plenary Speech (Jianqing Fan) # @6 }5 f* m5 `# z " e/ u5 X# ]% r4 ` x% e10:00 – 10:15 Tea Break4 a) ]& t5 ~* F. O4 K; G5 E
) m# g* C z. J0 {* a0 v2 F10:15 – 12:15 Parallel session IV . }, I% @2 w u6 r% R: P1 F
0 {7 E, a G: G: r5 j1 [8 _; y8 TA (Chair: Rui Pan):: b# v! _" w3 E
10:15 – 10:45 TBA ) \. A6 @* e5 \Jun Shao # | X1 V* F/ w8 d* Y' F
10:45 – 11:15 On choosing the size of data perturbation in adaptive model selection via penalization6 ?' \2 l* c' U+ d* Q: c
Hung Chen 8 z" x% b0 ?4 E/ W. y7 h11:15 – 11:45 Determining probability of germline mutations in family-based sequencing studies4 g: A, [( c2 q- q/ _! K) J
Wenyi Wang 6 N* D# F3 U1 ~9 C
11:45 – 12:15 Nonparametric Inference of Hemodynamic Response for fMRI data with Inhomogeneous Variances through Kernel Smoothing 5 @4 C4 F( V/ @/ q3 B( oTingting Zhang4 \% d7 t+ h+ R' A" m. f1 x2 l
5 W" v& }" d" j/ z* ~* O3 K/ ~' [* eB (Chair: Wenbao Yu):( V1 o f5 _% `0 m
10:15 – 10:45 Generalized Measures of Correlation for Asymmetry, Nonlinearity in Economic Study and Beyond. f, T' `# h( c' H
Zhengjun Zhang + {3 ^ Y m0 L8 G$ k$ p' Y10:45 – 11:15 Model Selection Principles in Misspecified Models ) h0 q* A: [" {; w7 vJinchi Lv / t2 i, z5 V( J& d11:15 – 11:45 Statistical Analysis and Inference for Diffusion Tensor Imaging Data. R' I& ?( y- G- L! h3 d5 x
Chunming Zhang5 [1 {' p" c2 I2 a- P I' f& K
11:45 – 12:15 Analysis of Zero-Inflated Count Data from an In Vivo Genotoxicity Test % `, q" i. O6 @5 c0 m! GSusan Portugal 6 r2 ]+ {- a) S/ b4 H0 r5 B! X9 D3 p; F
12:15 Lunch ! Z+ E L* D; E6 Q5 |* p; s. o! q, y. }" H
0 S4 K, u" q* r& t
Tuesday July 19th : Y+ U9 H$ s/ l3 c " `6 g" ~( I: X0 Y4 Q q2:00 – 4:30 Parallel session V % h; ?. V3 m7 {: X; V ) x% h/ V9 p) @: a4 ^$ hA (Chair: Mingche Su):% }/ d' a4 y* B; J+ R# E2 T7 d1 S
2:00 – 2:00 Quantile Regression for Analyzing Heterogeneity in Ultra-high Dimension( A- u6 @" N) _' ^% ]/ X
Runze Li$ a+ R q* R* @$ W) M
2:30 – 3:00 High Dimensional Multinomial Clustering1 e* D+ P8 ]0 x9 {5 P" J/ F9 @7 U
Jin Cao3 H( Q& h, g# b; K
3:00 – 3:30 Detecting Subclusters in Outliers & U8 a$ j k; E* k3 pDongseok Choi9 C u2 G7 S9 r' R+ a" N6 [5 c: z' z) y
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 4 V4 W/ O. D3 d$ nChengwu Yang 4 r. j/ L4 x2 J' r% t4:00 – 4:30 Improve estimation efficiency of marginal proportional hazards model by a partitioning method / u# b1 b" J* B. tWenjun Cui. @) _+ G( K- G' Y9 \" ?& }& V
4:30 – 5:00 Bayesian Multivariate Ordinal Probit Analysis of China's Consumer Confidence Index Data- y, O% }- M* R
Junni Zhang , P! G) U3 |) q( u5 G3 i 5 N! J4 B9 L \B (Chair: Yuxiang Liu):+ j6 C$ X% [ a2 W* q# O) a
2:00 – 2:00 Functional Additive Regression - ~+ Z! ^+ H' G% R6 jYingying Fan " v3 \ v& }7 n( I8 [+ J2:30 – 3:00 Robust empirical Bayes inference by conditioning on rank with application to microarray data % l! V% ^( l# z$ q Q; x# S7 B9 wJason Liao) |- T6 |4 x$ [& |% z' k
3:00 – 3:30 Estimation for the Single-index Models with Random Effects ' I7 d$ p4 b( }& `9 o( jZhen Pang& T7 \& ]! E% N9 r( u \/ d+ d! Q( Q
3:30 – 4:00 Nonlinear time series : Z q% y- B# {# ?
Fuxia Cheng6 O$ @# R( `- [; F6 L# h- V3 Q
4:00 – 4:30 Jackknife empirical likelihood methods for risk measures and related quantities - h# k+ d: \% v% rRuodu Wang) I7 |( u! T8 H* p, L