- December 19, 2005 21:11 WSPC/Trim Size: 11in x 8.5in for Proceedings HC-Final-122005 HIGHER CRITICISM STATISTIC: THEORY AND APPLICATIONS IN NON-GAUSSIAN
- Variable Selection in Semi-parametric Regression Modeling University of Rochester Medical Center
- Shortcuts for Unbalanced Classification University of Waterloo
- Robustness and accuracy of methods for high dimensional data analysis based on Student's t
- Impossibility of successful classification when useful features are rare and weak
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- Estimation and Confidence Sets For Sparse Normal Mixtures T. Tony Cai1
- Detecting A Target in Very Noisy Data From Multiple Jiashun Jin
- Higher Criticism for Detecting Sparse Heterogeneous David Donoho and Jiashun Jin
- The Annals of Statistics 2008, Vol. 36, No. 1, 381402
- arXiv:0911.3684v1[math.ST]19Nov2009 A Generalized Fourier Approach to Estimating the Null
- REVISITING MARGINAL REGRESSION By Christopher R. Genovese Jiashun Jin and Larry
- UPS Delivers Optimal Phase Diagram in High Dimensional Variable Selection
- arXiv:astro-ph/0507246v111Jul2005 Mon. Not. R. Astron. Soc. 000, 1?? (2001) Printed 11 July 2005 (MN LATEX style file v1.4)
- arXiv:astro-ph/0603859v225Sep2006 Draft version September 26, 2006
- Privacy-Preserving Data Sharing in High Dimensional Regression and Classification Settings
- Stochastic Combinatorial Optimization: From the TSP and MST to Dogapillars
- Higher Criticism Thresholding: Optimal Feature Selection When Useful Features Are Rare and Weak
- Sure Independence Screening with NP-dimensionality Jianqing Fan
- A Phase Transition in Spatial Epidemics Steven P. Lalley
- Variable Selection in the Accelerated Failure Time Model via the Bridge Method
- Network Inference Using High Dimensional Genomics Data Division of Public Health Science, Fred Hutchinson Cancer Research Center
- Penalized Squared Error and Likelihood: Risk Bounds and a Fast Algorithm
- Random Lasso Sijian Wang
- Nonparametric and Semiparametric Regression with Missing Outcomes Using Weighted Kernel and Profile
- A Spatial Parameterization Model of Infant Mortality in Anhui Province in China
- Compressed Counting and Random Projections in Data Stream Computations and Entropy Estimation
- Modeling Informatively Missing Genotypes in Haplotype Nianjun Liu
- Probabilistic Inference for ChIP-seq by Xuekui Zhang Department of Statistics, University of British Columbia, Vancouver, BC, Canada
- A new estimate of family disease history providing improved prediction of disease risk
- Quantile tomography: using quantiles with multivariate data,
- Using Markov chain Monte Carlo to solve a time-varying stat-space model for Magnetoencephalography inverse
- Estimating species richness, predicting unseen species and comparing species similarity using various models
- Matching in Cross-time Observational Studies The Ohio State University
- Sparse non-parametric Bayesian shrinkage for high dimensional problems
- FlexModule: a flexible cis-regulatory module sampler Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
- Optimality of Barrier Dividend Strategy in a Jump-diffusion Risk Model with Debit Interest
- Nonparametric Methods for Measurements with Detection Donghui Zhang
- Survival Analysis with Quantile Regression Models Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University
- Regularization for Stationary Multivariate Time Series Xiaodong Lin
- Statistical Estimation in Generalized Multiparameter Likelihood Models
- Busy period, time of the first loss of a customer and the number of the customers in the M
- Search for the Smallest Random Forest Heping Zhang
- Sieve Maximum Likelihood Estimation for Regression Models With Covariates Missing at Random
- Minimax Estimation for Infinite Dimensional Exponential Family Models
- Unifying Stratified and Weighted FDR Methods with Applications to Large-Scale Genetic Studies
- Likelihood Ratio Tests with Three-Way Tables Philiip E. Cheng
- Simultaneous Testing of Grouped Hypotheses: Finding Needles in Multiple Haystacks
- Data Depth and Nonparametric Multivariate Statistics: Spacings, Ordering & Beyond
- Statistical analysis of illness death processes and semi-competing risks data by
- Partial Correlation Estimation by Joint Sparse Regression Department of Statistics, University of California, Davis
- Dantzig Selector for Censored Linear Regression Models with High Dimensional Predictors
- Special Issue Pre-announcement from Statistics and Its Interface
- Large Partial Random Permutations of Conditionally Convergent Series
- FEATURE SELECTION WHEN THERE ARE MANY INFLUENTIAL FEATURES
- Selection of fixed and random effects in linear mixed-effects Peter XK Song
- Optimal Rates of Convergence for Estimating the Null Density and Proportion of Non-Null Effects in Large-Scale
- Continuous Spatial Process Models for Spatial Extreme Huiyan Sang
- A Local Smoothing Methodology For Blind Image School of Statistics, University of Minnesota
- Some Statistical Aspects of Exponential Random Graph Models
- Time-dependent predictive values of prognostic biomarker Yingye Zheng
- Asymptotic Minimaxity of False Discovery Rate Thresholding for Sparse Exponential Data
- Principal stratification on time-varying behaviors in HIV prevention trials
- Object Oriented Data Analysis J. S. Marron
- Nonlinear Boundary Crossing Probabilities for Diffusion University of Manitoba
- Inference of Tamoxifen's Effects on Prevention of Breast U T M. D. Anderson Cancer Center
- Estimation of Treatment Effect for Survival Endpoint in Ongoing Trials without Unblinding
- A Mixed Effects Transformation Model with Application to Horse Racing Prediction
- Penalized Bregman Divergence for Large Dimensional Regression and Classification
- Functional Additive Models Fang Yao (Speaker)
- Experimental Design for Pop b Xiaoli S. Hou
- Empirical Likelihood Confidence Interval for Ratio of Hazard Rates
- Structural Nonparametric Cointegrating Regression Qiying Wang
- arXiv:astro-ph/0602023v11Feb2006 Mon. Not. R. Astron. Soc. 000, 1?? (2001) Printed 1 February 2006 (MN LATEX style file v1.4)
- Joint modeling of longitudinal categorical data and survival Jianwen Cai
- Feature Selection by Higher Criticism Thresholding: Optimal Phase Diagram
- Cosmological non-Gaussian Signature Detection: Comparing Performance of Different Statistical Tests
- Applying model-based methods to analyze genomics data Zhaohui Qin
- Sparse Regulation Networks University of Michigan
- 1 STAT 36701, TTH 9-10:20 AM, BH 235B Each class needs two speakers.
- Least Relative Error Estimation Yuanyuan Lin
- Cross-sample and cross-platform analysis of DNA copy Nancy R. Zhang
- A geometric interpretation of the permutation p-value and its application in eQTL studies
- arXiv:math.ST/0611108v14Nov2006 Estimating the Null and the Proportion of
- A flexible leverage measure with applications to quantile Matias Salibian-Barrera
- Innovated Higher Criticism for Detecting Sparse Signals in Correlated Noise
- Higher criticism thresholding: Optimal feature selection when useful features are rare and weak
- A Bayesian Approach in Differential Equation Dynamic Models Incorporating Clinical Factors and Covariates
- Consistent variable selection in additive models Oregon State University
- Automatic Model Structure Selection Hao Helen Zhang
- Statistical Inferences for Outcome-Dependent Sampling Design with Multivariate Outcomes
- Proportion of Nonzero Normal Means: Universal Oracle Equivalences and Uniformly Consistent
- When do Data Mining Results Violate Privacy? Murat Kantarcioglu
- Testing in Nonparametric Varying Coefficient Additive Byeong U. Park