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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
    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
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    0 X3 a. m3 d) m9 h, F) u# jSunday, July 17th$ g- [3 h- `& P$ C& o
    - ^8 I  M9 H) w0 {- C  B* P7 g5 ^
    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; }
    ' w. H+ Z( D2 w6 `2 |, `" E
    5:30 – 8:00                 Poster session and light refreshment
    * C' |" ?2 J7 R# B9 ]! E6 u2 ]3 d; u3 t0 q
    " H- d! a' e( W8 n% g+ }
    . R9 d5 x' Z( J! A! x4 Q, L- r
    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
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    10:15 – 12:15                 Parallel session III 4 }7 d' ^2 ?2 e6 c8 z$ k+ K
    ( E8 P$ \7 e0 j9 J
    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
    / a  e1 D* z% ]* G% j$ c9 L, A

    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
    & ~$ ?, K7 F& l- z# R$ J, U+ N
    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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    , }+ g( T4 l' c0 n" Z4 n8 p
    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
    1 @8 R; @9 s( N: Y  e
    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
    ! E8 ~* ~. ^7 G$ q8 X2 d0 w
    ) @- |6 r3 `+ S5 g
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