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    发表于 2011-7-16 22:28 |只看该作者 |倒序浏览
    |招呼Ta 关注Ta
    The First Wu Xi International Statistics Forum
    5 K! f3 _8 ], r0 \July 17-19, 20119 i0 `. r  l9 K
    Hubin Hotel, Wu Xi, China
    - s7 c. z1 k. g, P# ^4 [; m3 N2 i! g/ d1 D! d2 F
    Conference Program# v+ [8 N- _( ?1 d4 b! U+ j
    Sunday, July 17th
    9 e, Y* K8 u% v, |' B
    - U" h& R6 r8 i$ f" a5 @10:00 – 10:10                Opening remark (Jun Liu)
    + B$ b" D# _. L) g8 |10:10 – 10:20                Official remark' f$ }+ l' f9 C7 x4 O
    10:20 – 10:30                Introduction to plenary speaker (Jun Liu)               
    ( |/ m9 B* ?) L2 g' r7 S; i" _10:30 – 11:30                 Plenary Speech (Don Rubin)  G' W5 y& _/ [! E# i3 _

    , l6 F1 u- X4 l/ N11:30                         Lunch
    - M, G' k; k* y( [3 K) P0 z, c0 K, b4 S6 u. b% o, `9 \# W/ L
    1:00 – 3:00                 Parallel session I
    % c" x- m/ y4 W5 q/ O, n* g0 ?, f. \& @3 K# a4 D7 N  X8 m2 s8 D
    A (Chair: Min Tang):
    ! N% }! B# k( F- a' N& E7 g5 }1:00 – 1:30                Adaptive Score Test for the Effects of Genetic Marker Sets ( j0 k# N1 {& B+ c0 Q' A
    Xihong Lin
    7 A- [' L) A* y: ^) F* H6 h1:30 – 2:00                On computation with the accelerated failure time model  I$ P: u/ l: t7 B
    Yijian Huang% q* D' {& T0 F' p- t( _/ l
    2:00 – 2:30                A Rank-Based Test for the Comparison of Multidimensional Outcomes9 `9 H* F' ]( s) U( J. n( O
    Kai Fun Yu/ L+ c! t( P9 N1 T2 k6 q$ D
    2:30 – 3:00                Extending the Scope of Partial F-Test to High Dimensional Data
    " D) B- t! t/ j$ {4 o7 I% B: [& wHansheng Wang       
    : C* d4 g5 m/ \4 x) A: g5 G% z
    ; S: `9 V% v9 u. E" uB (Chair: Jin Yong):) H0 L- N& ~  Y! k
    1:00 – 1:30                TBA
    8 B; t9 B) c; `& j- A* r1 ^Ying Yang
    * M) `4 P. h, c) I1:30 – 2:00        Bayesian analysis of generalized semiparametric linear mixed models using the Dirichlet process prior and P-spline
    7 U2 l8 G6 q9 f& |9 FNiansheng Tang
    , Z6 H3 k/ X9 w2:00 – 2:30        Normal and Compound Poisson Approximations for the Number of PatternApproximations for the Number of Pattern Occurrences in High-throughput Sequence Reads7 n, a' P" c4 j: O, L; \3 C
    Yihui Luan
    : x. B8 E4 g  H' k3 [3 D2:30 – 3:00                Structural dimensional reduction for high-dimensional data analysis% `+ {( u, a$ o1 V
    Jianhua Guo6 j# a8 }/ v8 d/ j
    3:00 – 3:15                Tea break
    % l2 e0 _) ?7 M7 H6 q2 E5 }! |. f! f/ L* U

    7 ?. [0 E  a, }/ v, f! ~
    6 V/ g# e" [# C* }3 i
    " S# \3 Z+ d$ G0 V' W9 rSunday, July 17th
    - a' X. Z0 t7 @7 h! o0 l( ?& R! g4 @# Q2 Q' w6 F% H
    3: 15 – 5:15                Parallel session II- v2 e4 ^* |. M7 G# r

    ! l# V; r$ i/ M: EA (Chair: Fangzhou Yao):" X$ U* x: i' Q! m) L
    3:15 – 3:45                Genomic and Epigenomic Profiling to Understand Disease Risks
    2 y* z2 Z6 \9 Z6 `. \: @Xiaole Liu
      L: {0 i, U, H4 I3:45 – 4:15                TBA5 a3 b- |' k5 c6 O2 g
    Xuegong Zhang5 h) n* I8 }2 a' k
    4:15 – 4:45        Combining Exploration and Exploitation Strategies in Adaptive MCMC for Bayesian Inference. o& p. }, m1 C% w/ N$ x! a# y
    Scott Schmidler' x% t3 _& ^) L$ w2 I* n! l
    4:45 – 5:15        A Bayesian clustering approach for partitioning the conformational space of biomolecules8 w" `( [; f) z  \2 P
    Xiaodan Fan# w- |6 R* q6 W8 T0 i" f1 J

    9 z: [" |; p. `0 |' ?B (Chair: Wei Lan):) x; M+ b9 j) r8 Y2 ?
    3:15 – 3:45                TBA& K' \/ j( @5 w3 n* P' A
    Lijian Yang6 K$ R+ t& n4 L6 A! `7 h5 G
    3:45 – 4:15                Instability of Predictability of Asset Returns
    4 K" U! ^# L5 zZongwu Cai' m' e5 `% I+ P/ H! c
    4:15 – 4:45                Jackknife Empirical Likelihood Method for Copulas
    3 i- u6 G- s; w, |2 k$ T" G1 R4 N; |Yongcheng Qi
    9 d# R" m% C9 O3 F* O; H4:45 – 5:15                Interval estimation for the tail index of a GARCH(1,1) model
    4 |( G7 G2 _& ]4 Y; B# {Liang Peng
    3 P, {) q( p  q1 Z3 n" r; H8 H2 U+ K6 |& s3 {/ z' _/ j& T/ h0 B
    5:30 – 8:00                 Poster session and light refreshment
    : x1 N8 A& u# p  ?" W5 w
    2 S0 s& t& f3 M
    % w7 R/ K8 a% t# Q& j3 d
    5 y  B3 N) x; a! y; t- cMonday, July 18th/ Z+ e" X- M3 t) T- {

    : J! U. ~( V* X) W# X! Q2 _' U8:50 – 9:00                Introduction to plenary speaker (Sam Kou)                ( c+ v" u2 e  f* @, U
    9:00 – 10:00                 Plenary Speech (Brad Efron)
    5 f& T6 B* t9 B7 x% C& e" p* \3 t# P2 v4 b
    10:00 – 10:15                Tea Break  @9 h9 ~* q( d' G- _" T

    6 @8 h7 \6 U7 s5 L) l; R10:15 – 12:15                 Parallel session III
    # g3 Q' C7 T5 a- I0 d- F. c4 R" W7 A/ R4 P- k- P7 M4 O" f4 p) A
    A (Chair: Mengyang Gu):
    ) L3 D2 d# i: C* k8 P; n) n( |10:15 – 10:45                Optimal Shrinkage Estimation in Heteroscedastic Hierarchical Models7 `. R0 w, |* {
    Samuel Kou
    % c, G' N4 K. C10:45 – 11:15                Subsampling for Feature Selection
    , l2 C$ z. ^. BJiayang Sun4 W( K1 \' s2 x' b' y; Q
    11:15 – 11:45        On Hierarchical Bayesian Nonparametric Models for Social Network Analysis
    + I4 M! K% \4 L. d+ eChunlin Ji
    5 @/ v+ p8 G+ l* E11:45 – 12:15                Penalized Least Squares Estimation with Weakly Dependent Data 3 @# f) J: B  \' q8 I# ]" N
    Xin Tong) X; J7 ^+ ]  F7 d, q
    12:15 – 12:45                TBA$ e. s9 @/ G5 ^8 {
    Min Chen
    9 s7 C$ L4 l, J/ r1 I) z: k
    / d$ f9 Q9 n1 b- T- x, oB (Chair: Hirose Yoshihiro):8 K6 s, D+ u: m4 q, [0 c2 K
    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 mapping1 Y+ M  Z1 w& H4 x6 c& M
    Hao Li
    . h# G$ H+ ]1 h' L6 v) _10:45 – 11:15                TBA
    / I+ o9 O4 x0 o& n2 j/ s/ sEdoardo Airioli
      ~2 |+ h) g7 g4 C0 N11:15 – 11:45                TBA) f; D. i" q! u7 q: K
    Yixue Li1 _6 f% d) O/ @& i
    11:45 – 12:15                Statistical modeling of RNA-Seq data
    ; T+ F: Y' a+ S2 qWenxuan Zhong5 Q0 X7 Z+ z; i
    12:15 – 12:45        Generalized Semiparametric Regression Models with Smooth Variance Function, with Application to Medical Cost Data
    " ]+ N3 Y# |$ @. z& m$ `( E( a! c% ~Jinsong Chen: Q# z5 n0 @; L- H+ S
    ; b& I* ?6 p& O+ z  V
    12:45                         Lunch
    + C) I6 v& }/ v  Z7 j  N: ^; e7 x8 e8 s5 b3 L7 k- b
    2:00                        Excursion
    - w* L9 F* ^4 ~6 \3 M3 a2 X
    + N8 v" e5 v6 ~% e& n" @6 m, ?% o4 }7 P
    ( l9 r4 k5 g# `Tuesday July 19th
    : P) s5 s+ N) h0 x/ ]0 a- l1 `2 J8 P9 C" L% ~4 V
    8:50 – 9:00                Introduction to plenary speaker (Steve Qin)                ; G( w. C3 F* J" h
    9:00 – 10:00                 Plenary Speech (Jianqing Fan)
    3 F% P1 e1 x" m, Q" i+ o1 I! ~7 K9 ^, c, V$ R. P/ l1 G: e
    10:00 – 10:15                Tea Break; Z8 a. X; u* k. C# M% c$ t: V
    . y/ b& G$ Y+ Q& a1 `, H
    10:15 – 12:15                 Parallel session IV
    4 I- g* V& z  ^8 J' }0 M& Z# X- @* M9 Q6 f% t* n
    A (Chair: Rui Pan):
    9 o" c+ Q& ^/ F! X0 W9 K% ^10:15 – 10:45                TBA+ U# f- i7 L2 ~9 P- Q0 e- r+ \
    Jun Shao               
    , O+ |, M9 h7 w4 ^" T2 J  g10:45 – 11:15        On choosing the size of data perturbation in adaptive model selection via penalization# y$ z8 v# u" E  g5 u" _
    Hung Chen
    ' |# F5 {  k- F$ x: j0 w! C9 s11:15 – 11:45        Determining probability of germline mutations in family-based sequencing studies! D6 [5 N0 T  S: `  G6 v
    Wenyi Wang
    . t% O9 b$ o; j9 k+ t7 c11:45 – 12:15        Nonparametric Inference of Hemodynamic Response for fMRI data with Inhomogeneous Variances through Kernel Smoothing
    3 T( I9 ]8 d/ [7 GTingting Zhang( x+ S1 r1 c, x
    ; \6 u8 C8 F; w; ]1 i& g% O
    B (Chair: Wenbao Yu):
    ( D3 I9 J8 q+ g: M10:15 – 10:45        Generalized Measures of Correlation for Asymmetry, Nonlinearity in Economic Study and Beyond0 @% h+ P* w, A
    Zhengjun Zhang
    & k$ l0 ^( D0 V8 f1 Y# Q8 v" d3 B, |10:45 – 11:15                Model Selection Principles in Misspecified Models9 i( N6 ^& @8 u2 _+ G9 e3 }2 {
    Jinchi Lv
    + g5 F& y& `" Z1 w; Z! ]- G, o11:15 – 11:45                Statistical Analysis and Inference for Diffusion Tensor Imaging Data
      e4 i1 {8 I, U- S2 K3 k6 oChunming Zhang
      `3 H* @- |+ E11:45 – 12:15                Analysis of Zero-Inflated Count Data from an In Vivo Genotoxicity Test
    . }+ P$ ]! T# D/ S5 t5 bSusan Portugal$ K* H1 R/ r' `1 s. V/ |1 ]
    - b, A8 z# N  f% q3 d5 a0 d4 L4 [
    12:15                         Lunch
    $ s4 i% A) s( e- h. `& n- ?7 r- J6 F& m: [# f" z: n" G
    8 g: c' l+ r: T$ L6 ]
    Tuesday July 19th6 {) T- o8 I- d. `& c+ Q

    3 _/ J( j! x1 M; @, W2:00 – 4:30                 Parallel session V
    ) W; L7 h, P1 H- |6 x  S7 H  e. B+ N2 C$ y
    A (Chair: Mingche Su):, L6 D; p. j6 T8 H
    2:00 – 2:00                Quantile Regression for Analyzing Heterogeneity in Ultra-high Dimension
    5 `* q1 c/ V: G3 l/ {Runze Li# S- r& N* O# r- l' U8 a
    2:30 – 3:00                High Dimensional Multinomial Clustering
    6 b: D. R3 o- w2 T4 I1 cJin Cao; o1 L7 l0 l9 H5 B+ g* K* Y) a
    3:00 – 3:30                Detecting Subclusters in Outliers
    * F5 T( y2 G% i5 [Dongseok Choi6 L' a" Q) c# X$ ^3 {( g8 ]* G$ U
    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
    & A2 \  U( @) B; t5 sChengwu Yang
    8 o  k% t1 a8 y- ^5 [" W4:00 – 4:30        Improve estimation efficiency of marginal proportional hazards model by a partitioning method
    2 {5 O1 i% x3 K7 R/ y' TWenjun Cui
    % F5 ?# e- D* {0 R) o( [4:30 – 5:00        Bayesian Multivariate Ordinal Probit Analysis of China's Consumer Confidence Index Data+ K; c& ?0 ]+ n. E/ k
    Junni Zhang9 H$ p9 v5 W" Q! w' R9 U4 h1 y9 I
    ; y1 i. e7 B4 e* d3 K
    B (Chair: Yuxiang Liu):7 ^0 S$ p: }" X! A
    2:00 – 2:00                Functional Additive Regression  i/ \7 o* X) p) U
    Yingying Fan
    1 a8 h0 c8 O* W2:30 – 3:00        Robust empirical Bayes inference by conditioning on rank with application to microarray data# u9 q3 X1 z5 \) x) }; i( ^
    Jason Liao' B$ @5 i! J5 r* R1 R; s, F
    3:00 – 3:30                Estimation for the Single-index Models with Random Effects1 w' n! V! X4 N
    Zhen Pang, h' _& `( H, a- i' Q& i
    3:30 – 4:00                Nonlinear time series " c3 ^- T$ F: @# Y2 a- M
    Fuxia Cheng- A$ g" U; p* O: _  h( Z* L
    4:00 – 4:30        Jackknife empirical likelihood methods for risk measures and related quantities; n6 O% V* ?- p' X
    Ruodu Wang, B, C. W$ k( ]6 R# h2 c6 g

    & i9 a& D7 \' ?6 n% p' J5:00                         Banquet
    6 H: D) r! p. {+ d1 w: k1 [% n+ [8 j( D( q3 y: a, h! P  K
    2 Y" p* Z( S1 a& a% d8 N8 F) x
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