• Chair: Jianqing Fan, Princeton University
• Speaker: Peter Bickel, University of California, Berkeley
• Title: Inference for Networks

• Chair: Jia-an Yan, AMSS, CAS
• Speaker: Mufa Chen, Beijing Normal University
• Title: Speed of stability for stochastic systems

• Chair: Jiashun Jin, Carnegie Mellon University
• Speaker: Stephen Fienberg, Carnegie Mellon University
• Title: Some statistical aspects of exponential random graph models

• Chair: Tony Cai, University of Pennsylvania
• Speaker: Michael Steele, University of Pennsylvania
• Title: Stochastic combinatorial optimization:from the TSP and MST to dogapillars

"High dimensional inference and application"

• Organizer: Jiashun Jin, Carnegie Mellon University
• Chair: Yanxin Huang, University of South Florida
• 1. Jiashun Jin, Carnegie Mellon University; Higher criticism thresholding: Optimal feature selection when useful features are rare and weak
• 2. Cun-Hui Zhang, Rutgers University; Sparse least squares estimation
• 3. Nancy Zhang, Stanford University; Cross-sample and cross-platform analysis of DNA copy number
• 4. Harrison Zhou, Yale University; Large covariance matrices estimation

"Semiparametric Modelling and Its Applications"

• Organizer: Wenyang Zhang, University of Bath
• Chair: Wenyang Zhang, University of Bath
• 1. Yingcun Xia, National University of Singapore
• 2. Richard Samworth, University of Cambridge; Maximum likelihood estimation for a multidimensional log-concave density
• 3. Aurore Delaigle, University of Bristol; Prediction in measurement error models
• 4. Haibo Zhou, University of North Carolina at Chapel Hill; Statistical inferences for outcome-dependent sampling design with multivariate outcomes

"New developments on machine learning and variable selection in high dimensional space"

• Organizer: Yichao Wu, North Carolina State University
• Chair: Yichao Wu, North Carolina State University
• 1. Xiaotong Shen, University of Minnesota; Large margin hierarchical classification
• 2. Chunming Zhang, University of Wisconsin; Penalized Bregman divergence for large dimensional regression and classification
• 3. Helen Hao Zhang, North Carolina State University; Automatic model structure selection
• 4. Annie Qu, UIUC; Model selection for high dimensional correlation structure

"Random Matrices and Applications"

• Organizer: Tiefeng Jiang, University of Minnesota
• Chair: Tiefeng Jiang, University of Minnesota
• 1. Zhidong Bai, National University of Singapore, Singapore, & NENEU; Corrections to LRT on large dimensional covariance matrix by RMT
• 2. Guangming Pan, Nanyang Technological University; Large sample covariance matrice and Hotelling's T
• 3. Shurong Zheng, Northeastern Normal University (NENU); Central limit theorem for linear spectral statsitics of large dimensional F matrix
• 4. Tiefeng Jiang, University of Minnesota; spectral properties of large random graphs

Contributed Session "Stochastic Processes and Stochastic Differential Equation"

• Chair: Weidong Zhao, Shandong University
• 1. Ze-Chun Hu, Nanjing University; Representations of non-symmetric Dirichlet forms
• 2. Lingtao Kong, Graduate University of the Chinese Academy of Sciences; The Exact Hausdorff Measure of the set of multipoints for a stable process
• 3. Dawei Lu, Dalian University of Technology; The first exit time for a Bessel process from the minimum and maximum random domains
• 4. Qingxin Meng, Fudan University; Stochastic Hamilton-Jacobi-Bellman equation with jumps
• 5. Shujin Wu, East China Normal University; Existence, uniqueness, boundedness and stability of stochastic delay differential equations with random impulses and Markovian switching
• 6. Fubao Xi, Beijing Technology University; Ergodicity of stochastic Lienard equations with continuous-state-dependent switching
• 7. Weidong Zhao, Shandong University; A new numerical scheme for backward stochastic differential equations

"Large-scale and high-dimensional inference"

• Organizer: Tony Cai, University of Pennsylvania
• Chair: Richard Samworth, Cambridge University
• 1. Tony Cai, University of Pennsylvania; Simultaneous testing of grouped hypotheses: Finding needles in multiple haystacks
• 2. Jianqing Fan, Princeton University; Sure independence screening with NP-dimensionality
• 3. Ming Yuan, Georgia Tech; A Reproducing kernel Hilbert space approach to functional linear regression

"Jump diffusions and stochastic analysis"

• Organizer: Zhen-Qing Chen, Washington
• Chair: Zhen-Qing Chen, Washington
• 1. Renming Song; University of Illinois; Potential theory of Levy processes with both continuous and jump components
• 2. Xinghua Zheng, University of British Columbia; A phase transition in spatial epidemics
• 3. Zongxia Liang, Tsinghua University; Stochastic flows of homeomorphisms and their spatial asymptotic behavior on R^d
• 4. Zhen-Qing Chen, University of Washington; Metropolis algorithm and distorted Brownian motion

"Analysis of High-dimensional Genomics Data"

• Organizer: Ji Zhu, University of Michigan
• Chair: Jie Peng, University of California, Davis
• 1. Shuangge Ma, Yale University; Variable selection in the accelerated failure time model via the bridge method
• 2. Jie Peng, UC Davis; Partial Correlation estimation by joint sparse regression models
• 3. Heping Zhang, Yale University; Search for the smallest random forest
• 4. Pei Wang, Fred Hutchinson Cancer Research Center; Network inference using high dimensional genomics data

"Nonparametric Statistical Inference"

• Chair: Jin Zhang, Yunnan University
• 1. Zhaojun Wang, Nankai University; Nonparametric profile monitoring by mixed effects modeling
• 2. Xingzhong Xu, Beijing Institute of Technology; Bootstrap pivotal quantities
• 3. Deyuan Li, Fudan University; Bias reduction for endpoint estimation
• 4. Jin Zhang, Yunnan University; A new and efficient estimation method for the generalized Pareto distribution

"BSDEs and Applications"

• Chair: Shige Peng, Shandong University
• 1. Guangyan Jia, Shandong University; $g$-convex function, Jensen's inequality for $g$-expectation and backward stochastic viability property
• 2. Shaolin Ji, Shandong University; Neyman-Pearson lemma under $g$-probability
• 3. Juan Li, Shandong University at Weihai; Mean-field backward stochastic differential equations and related partial differential equations
• 4. Zhen Wu, Shandong University; Maximum principlefor stochastic optimal control problem with delay and application

"Variable Selection and Regularization"

• Organizer: Yingying Fan, University of Southern California
• Chair: Jinchi Lv, University of Southern California
• 1. Cong Huang, Columbia University; Penalized squared error and likelihood: Risk bounds and a fast algorithm
• 2. Yufeng Liu, University of North Carolina at Chapel Hill; Efficient nonparametric classifier for high dimensional multiclass problems
• 3. Sijian Wang, University of Wisconsin; Random Lasso
• 4. Huazhen Lin, Sichuan University; A semi-parametric two-part mixed-effects heteroscedastic transformation for correlated right-skewed semi-continuous data

"Semiparametric Inference"

• Organizer: Bin Nan, University of Michigan
• Chair: Bin Nan, University of Michigan
• 1. Jon Wellner, University of Washington; Z-theorems with estimated nuisance parameters
• 2. Xihong Lin, Harvard University; Nonparametric and Semiparametric Regression with Missing Outcomes Using Weighted Kernel and Profile Estimating Equations
• 3. Jinfeng Xu, National University of Singapore; Statistical analysis of illness death processes and semi-competing risks data
• 4. Jianwen Cai, University of North Carolina at Chapel Hill; Joint modeling of longitudinal categorical data and survival data

"Advances in Limit Theory"

• Organizer: Qiman Shao, Hong Kong University of Science and Technology
• Chair, Qiman Shao, Hong Kong University of Science and Technology
• 1. Zhonggen Su, Zhejiang University; Riemann-Hilbert approach, universality of random matrix and Dyson's Constant"
• 2. Qiying Wang, University of Sydney; Structural nonparametric cointegrating regression
• 3. Wang Zhou, National University of Singapore; On normal approximations to U-statistics
• 4. Weiguo Yang, Jiangsu University; Some researches on the strong limit theorems for Markov chains indexed by trees

"Insurance Mathematics"

• Chair: Junyi Guo, Nankai University
• 1. Guojing Wang, Suzhou University; Default time and the pricing of defaultable bond and par premium for a structural credit risk model with jumps
• 2. Rongming Wang, East China Normal University; Optimal reinsurance and dividend strategies under the Marko-modulated insurance risk model
• 3. Guoxin Liu, National University of Technology; Optimal dividend and insurance of equity for the Cramer-Lundberg risk model
• 4. Junyi Guo, Nankai University; Optimal dividends and optimal reinsurance strategies for a risk model with merger of two businesses

Contributed Session "Bayesian Statistics, Spatial Statistics and related Topics"

• Chair: Bo Li, Purdue University
• 1. Chunsheng Ma, Wichita State University; Multivariate second-order random fields in space and time
• 2. Tonglin Zhang, Purdue University; A spatial parameterization model of infant mortality in Anhui Province in China
• 3. Huiyan Sang, Texas A & M; Continuous spatial process models for spatial extreme values
• 4. Ping Li, Cornell University; Compressed counting and random projections in data stream computations and entropy estimation
• 5. Nanjun Liu, University of Alabama at Birmingham; Modeling informatively missing genotypes in haplotype analysis
• 6. Xuekui Zhang, University of British Columbia; Probabilistic inference for ChIP-seq
• 7. Yangxin Huang, University of South Florida; A Bayesian approach in differential equation dynamic models incorporating clinical factors and covariates
• 8. Rui Feng, University of Alabama at Birmingham; A new estimate of family disease history providing improved prediction of disease risk

"Functional and Transportation Inequalities"

• Organizer: Feng-Yu Wang, Beijing Normal University
• Chair: Yonghua Mao, Beijing Normal University
• 1. Fuqing Gao, Wuhan University; Deviation inequalities and moderate deviations in statistical inference
• 2. Jinghai Shao, Beijing Normal University; Optimal transport maps on path groups and loop groups
• 3. Peter Qian, University of Wisconsin; Nested Latin hypercube designs

"Advances in Nonlinear Time Series and Applications"

• Organizer: Zhengjun Zhang, University of Wisconsin
• Chair: Zhengjun Zhang, University of Wisconsin
• 1. Kung-Sik Chan, University of Iowa; Invertibility of nonlinear ARMA models
• 2. Rong Chen, Rutgers University; Functional time series driven by dynamic systems
• 3. Zhengjun Zhang, University of Wisconsin;On the estimation and application of max-stable processes

"Superprocesses in Random Environment"

• Organizer: Jie Xiong, University of Tennessee
• Chair: Jie Xiong, University of Tennessee
• 1. Zenghu Li, Beijing Normal University; Fluctuation limits of measure-valued branching processes
• 2. Hao Wang, University of Oregon; Interacting superprocesses and conditional independence
• 3. Xiaowen Zhou, Concordia University; The reversibility of interacting Fleming-Viot processes

"Multivariate Quantile and Depth Functions"

• Organizer: Ying Wei, Columbia University
• 1. Ivan Mizera, University of Alberta; Quantile tomography: using quantiles with multivariate data, with applications to multivariate growth charts
• 2. Regina Y. Liu, Rutgers University; Data depth and nonparametric multivariate statistics: spacings, ordering & beyond
• 3.Matias Salibian-Barrera, University of British COlumbia; A flexible leverage measure with applications to quantile regression

Contributed Session "Nonparametric Statistics and Related Topics"

• Chair: Wei Dou, Yale University
• 1. Lan Xue, Oregon State University; Consistent variable selection in additive models
• 2. Wei Dou, Yale University; Minimax estimation for infinite dimensional exponential family models
• 3. Zhigang Yao, University of Pittsburgh; Using Markov chain Monte Carlo to solve a time-varying stat-space model for Magnetoencephalography inverse problem
• 4. DV Tokarev, University of Melbourne; The expectations of maxima and optimal selection in assemblies of independent random variables
• 5. Austina Clark, University of Otago, New Zealand; Estimating species richness, predicting unseen species and comparing species similarity using various models
• 6. Guang Cheng, Purdue University; Bootstrap consistency of semiparametric models

"Financial econometrics"

• Organizer: Bing-yi Jing, Department of Mathematics, Hong Kong University of Science & Technology
• Chair: Bing-yi Jing, Department of Mathematics, Hong Kong University of Science & Technology
• 1. Songxi Chen, Department of Statistics, Iowa State University; Nonparametric estimation for Levy-type processes
• 2. Minggao Gu, Department of Statistics, The Chinese University of Hong Kong; A mixed effects transformation model with application to horse racing prediction
• 3. Bo Zhang, School of Statistics, Renmin University of China; Modeling realized volatility driven by heterogeneous market characteristics
• 4. Yingying Li, Princeton University and Hong Kong University of Science & Technology; Studying the leverage effect using high-frequency data

"Survival and hazard regression"

• Organizer: Ming-Yen Chen, University College London and National Taiwan University
• Chair: Ming-Yen Chen, University College London and National Taiwan University
• 1. Dongsheng Tu, Queen's University; Empirical likelihood confidence integral for ratio of hazard rates
• 2. Jiancheng Jiang, University of North Carolina at Charlotte; Weighted nonlinear quantile regression and oracle model selection
• 3. Ruey-Ching Hwang, National Dong Hwa University; Predicting issuer credit ratings using a semiparametric method
• 4. Jun Xie, Purdue University; Estimation of treatment effect for survival endpoint in ongoing trials without unblinding

Contributed Session "Applied Statistics and Related Topics

• Chair: James Dai, Fred Hutchinson Cancer Research Center
• 1. Wei Sun, University of North Carolina; A geometric interpretation of the permutation p-value and its application in eQTL studies
• 2. Heping He, University of Kansas; Error probability law selection of location-scale models by modified profile likelihood
• 3. Jing Xu, Chongqing University
• 4. Pengsheng Ji; Cornell University; Optimal nonparametric testing under sparsity
• 5. Wenjuan Zhang, University of Warwick
• 6. Xiaodong Lin, University of Cincinnati; Regularization for stationary multivariate time series
• 7. James Dai, Fred Hutchinson Cancer Research Center; Principal stratification on time-varying behaviors in HIV prevention trials

Contributed Session "Statistics and Related Topics"

• Chair: Minya Xu, Peking University
• 1. Yan-Hong Chen, Dalian University of Technology; Empirical likelihood and order restricted on parameters
• 2. Zhenlong Gao, Graduate University of Chinese Academy of Sciences; Limit theorems for Galton-Watson processes in random environments
• 3. Hongxia Wang, Nanjing University; Estimation of the trend function for spatiotemporal model
• 4. Lihong Wang, Nanjing University; Wavelet change-point estimation for long memory nonparametric random design model
• 5. Xiaoguang Wang, Dalian University of Technology; Adaptive lasso variable selection for the accelerated failure models
• 6. Yue Zhao, Dalian University of Technology; Sieve maximum likelihood estimation using B-spline method for semiparametric models

"New Developments in High-dimensional Correlated Data"

• Organizer: Megan Othus, Harvard University
• Chair: Megan Othus, Harvard University
• 1. Yi Li, Department of Biostatistics, Harvard University, Semiparametric normal transformation models for spatially correlated survival data
• 2. Ji Zhu, Department of Statistics, University of Michigan, Sparse regulation networks
• 3. Peter Song, University of Michigan; Selection of fixed and random effects in linear mixed-effects model
• 4. Mu Zhu, University of Waterloo; Shortcuts for unbalanced classification

"Mathematical Finance"

• Organizer: Jin Ma, University of Southern California
• Chair: Jin Ma, University of Southern California
• 1. Xin Guo, UC Berkeley; Connecting singular controls with switching controls, with applications
• 2. Hailiang Yang, University of Hong Kong; Option pricing with regime-switching by trinomial tree method
• 3. Jin Ma, University of Southern California; Law of large numbers for self-exciting correlated defaults

"Advances in Stochastic Processes and Applications"

• Chair: Fuqing Gao, Wuhan University.
• 1. Weiyin Fei, Anhui University of Technology and Science; Optimal protfolio choice based on $\alpha$-MEU under ambiguity
• 2. Yan-Xia Ren, Peking University; $L\log L$ condition for supercritical branching Hunt processes
• 3. Yonghua Mao, Beijing Normal University; Convergence rates for reversible Markov Chains without the assumption of nonnegative definite matrices

"Functional Data Analysis"

• Organizer: Haipeng Shen, University of North Carolina at Chapel Hill
• Chair: Helen Zhang, North Carolina State University
• 1. J.S. Marron, University of North Carolina at Chapel Hill; Object oriented data analysis
• 2. Fang Yao, University of Toronto; Functional additive models
• 3. Haipeng Shen, University of North Carolina at Chapel Hill; New statistical perspectives about singular value decomposition

"Time Series Analysis"

• Organizer: Qiwei Yao, London School of Economics
• Chair: Wenyang Zhang, Bath University
• 1. Wenyang Zhang, University of Bath; Simultaneous confidence band and hypothesis test in generalised varying-coefficient models
• 2. Wai Keung Li, Hong Kong University; Least absolute deviation estimation for unit root processes with GARCH errors
• 3. Zhengyan Lin, Zhejiang University; Empirical likelihood inference for diffusion processes with jumps

"Analysis of Dependent Data"

• Organizer: Xuming He, University of Illinois at Urbana-Champaign
• Chair: King-Sik CHan, University of Iowa
• 1. Marc Genton, Texas A&M University; Cross-covariance functions for multivariate random fields based on latent dimension
• 2. Mikyoung Jun, Texas A&M University; Nonstationary spatial-temporal covariance functions for processes on a globe
• 3. Serge Guillas, University College London; Bivariate splines for spatial functional regression models

"Statistical Analysis with Missing Data and Structural Learning"

• Chair: Qihua Wang
• 1. Nian-Sheng Tang, Yunnan University; Bayesis local influence analysis
• 2. Yong Zhou, AMSS, CAS & Shanghai University of Finance and Economics; Smoothed estimating equations inference with missing data
• 3. Zhi Geng, Peking University; Decomposing, active and local learning of Causal networks
• 4. Qihua Wang, AMSS, CAS; Structural nonparametric cointegrating regression

"Recent advances in semiparametric regression modeling and applications"

• Organizer: Runze Li, Pennsylvania State University
• Chair: Runze Li, Pennsylvania State University
• 1. Ming-Yen Cheng, University College London; Statistical estimation in generalized multiparameter likelihood models
• 2. Hua Liang, University of Rochester; Variable selection in semi-parametric regression modeling
• 3. Yanyuan Ma, Texas A&M University; Local and Omnibus Tests in Classical Measurement Error Models
• 4. Byeong Park; Seoul National University; Testing in nonparametric varying coefficient additive models

"Stochastic Process and Applications"

• Chair: Fuzhou Gong, AMSS, CAS
• 1. Litan Yan, Donghua University; The weighted quadratic covariation for fractional Brownian motion
• 2. Xinsheng Zhang, Fudan University; Empirical likelihood estimation of discretely sampled jum-diffusioin processes
• 3. Fuzhou Gong, AMSS, CAS; Insider trading in the market with rational expected price

"Advances in Probability Theory and Applications"

• Chair: Zaiming Liu, Central East University
• 1. Zhao Dong, AMSS, CAS; Ergodicity of stochastic 2D Navier-Stokes equations with Levy noise
• 2. Xicheng Zhang, Huazhong University of Science and Technology; Stochastic tamed 3D Navier-Stokes equations: existence, uniqueness an ergodicity
• 3. Zaiming Liu, Central East University; The queueing system and reliability system based on Markovian arrival process
• 4. Tetyana Kadankova, Hasselt University; Busy period, time of the first lossof a number of the customers in a queuing system

"Statistical Methods for Disease Prevention, Detection and Treatment"

• Organizer: Tianxi Cai, Harvard University
• Chair: Tianxi Cai, Harvard University
• 1. Lu Tian, Stanford University; Predicting t-year residual life with longitudinal markers
• 2. Yingye Zheng, Fred Hutchinson Cancer Research Center; Time-dependent predictive values of prognostic biomarker
• 3. Yu Shen, UT M.D. Anderson Cancer Center; Inference of tamoxifen's effects on prevention of breast cancer
• 4. Jianguo Sun, University of Missouri; Statistical analysis of inerval-censured count data