, ]1 O& Q& ~) _9 N; {11:30 Lunch 4 }* ]9 S* A7 m5 ?( k8 V( N! v5 Z( o8 R# L: b/ M, l; Y( s2 w
1:00 – 3:00 Parallel session I z8 K' H" x( `8 C7 h, C
9 A* D* G8 \* O
A (Chair: Min Tang): 3 W( W8 W4 v5 E# Y( G' e" J1:00 – 1:30 Adaptive Score Test for the Effects of Genetic Marker Sets # P$ Q5 n& ?0 M1 dXihong Lin & M) @2 D4 F+ Q# |: J0 R! v/ W# Q/ y1:30 – 2:00 On computation with the accelerated failure time model ! m5 i0 ]- W% y; j' NYijian Huang , s5 D# I' `: R/ k; T5 p5 b0 n2:00 – 2:30 A Rank-Based Test for the Comparison of Multidimensional Outcomes' C- K4 X% a5 y6 W( x
Kai Fun Yu5 Q- e9 Y0 d6 x5 q' K
2:30 – 3:00 Extending the Scope of Partial F-Test to High Dimensional Data 7 n# K3 C1 j/ k- s+ y6 p. FHansheng Wang . S+ U, n- [$ |( k
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B (Chair: Jin Yong): 7 E& Z/ V2 n' d" p, N1:00 – 1:30 TBA . [" Q o/ e5 I9 IYing Yang1 y2 w! E, t+ Z+ M2 W/ R* D
1:30 – 2:00 Bayesian analysis of generalized semiparametric linear mixed models using the Dirichlet process prior and P-spline ]1 q7 `4 n% \+ Z* @0 _1 B. GNiansheng Tang 2 q* W: Y s8 K. M2:00 – 2:30 Normal and Compound Poisson Approximations for the Number of PatternApproximations for the Number of Pattern Occurrences in High-throughput Sequence Reads ; N3 h, |9 E% r# O( E" f l, {+ s mYihui Luan 0 p3 [3 a j6 e7 ~- w2:30 – 3:00 Structural dimensional reduction for high-dimensional data analysis ( B9 s2 h9 v% [2 y s$ y' T# k; jJianhua Guo 7 H6 P k/ R; R) K5 w: R& V3:00 – 3:15 Tea break : p; D6 T% c6 {# O. t( D4 i2 {6 P1 p% N4 Z
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4 k* g( f" C4 I2 N+ b 6 ^0 Q2 Y: S" R/ ^; T4 CTuesday July 19th - o" ^2 U$ t6 F3 W- G! h3 F9 C9 K( ?9 e* e, o8 M, p6 }
2:00 – 4:30 Parallel session V % c' @7 r2 _; |5 R. \+ H" G q; i- u9 ]- _" D" H$ E' m
A (Chair: Mingche Su): & Z S0 [. [( d5 z2:00 – 2:00 Quantile Regression for Analyzing Heterogeneity in Ultra-high Dimension8 U7 U: h( R- \, e8 Z+ e8 L
Runze Li! r7 V6 _6 P* N" B
2:30 – 3:00 High Dimensional Multinomial Clustering - D* }; H/ I) ?& m% d3 bJin Cao 6 `# ^( q# r7 j+ T# O1 X3:00 – 3:30 Detecting Subclusters in Outliers % z: X. z. H" G/ R- }3 j
Dongseok Choi 9 l' e: G0 e @" P3 q n3:30 – 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# i1 ]- ?& N; M% F7 x( G
Chengwu Yang; W7 J' x5 K: \. W
4:00 – 4:30 Improve estimation efficiency of marginal proportional hazards model by a partitioning method8 D' p s- J/ `! q, `
Wenjun Cui p$ l; S& |' y9 v, d; C8 h4:30 – 5:00 Bayesian Multivariate Ordinal Probit Analysis of China's Consumer Confidence Index Data . O/ p% Q( R- c( ?Junni Zhang. j. E! _1 F! T0 H2 Z1 L4 M; |
1 u; g+ x) f# h5 T `7 XB (Chair: Yuxiang Liu):5 i5 I1 r& Q# ?! T" h/ k7 I- T
2:00 – 2:00 Functional Additive Regression % W" w" G$ s$ NYingying Fan 5 U$ b4 Q3 X. m$ Q2:30 – 3:00 Robust empirical Bayes inference by conditioning on rank with application to microarray data: O- T4 A8 ]4 \# G! S
Jason Liao2 [: p( |# J% V. E
3:00 – 3:30 Estimation for the Single-index Models with Random Effects- T' [/ F0 F o& p' w
Zhen Pang ; ^, @7 v8 a" l/ l3:30 – 4:00 Nonlinear time series / m! d4 B" ]4 J; Y
Fuxia Cheng. Z9 t v: M0 Y/ l8 T
4:00 – 4:30 Jackknife empirical likelihood methods for risk measures and related quantities' l9 Y% _% Y5 Y! K6 g9 L
Ruodu Wang |! B6 g7 c4 b$ v% t
+ V. D# B; x5 Y5:00 Banquet 2 n* k$ C: _( Z# B. z3 B9 z% y% Q, I( c# F/ T, K& x& o \
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