Challenges of Big Data analysis

Fast global convergence of gradient methods for high-dimensional statistical recovery

(2013) Alekh Agarwal et al.   ANNALS OF STATISTICS

High-dimensional semiparametric Gaussian copula graphical models

(2013) Han Liu et al.   ANNALS OF STATISTICS

Regularized rank-based estimation of high-dimensional nonparanormal graphical models

(2013) Lingzhou Xue et al.   ANNALS OF STATISTICS

Oracle inequalities for the lasso in the Cox model

(2013) Jian Huang et al.   ANNALS OF STATISTICS

Large covariance estimation by thresholding principal orthogonal complements

(2013) Jianqing Fan et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Posterior consistency of nonparametric conditional moment restricted models

(2012) Yuan Liao et al.   ANNALS OF STATISTICS

Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions

(2012) Alekh Agarwal et al.   ANNALS OF STATISTICS

Factor modeling for high-dimensional time series: Inference for the number of factors

(2012) Clifford Lam et al.   ANNALS OF STATISTICS

High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity

(2012) Po-Ling Loh et al.   ANNALS OF STATISTICS

Robust rank correlation based screening

(2012) Gaorong Li et al.   ANNALS OF STATISTICS

Discoidin domain receptor tyrosine kinases: new players in cancer progression

(2012) Rajeshwari R. Valiathan et al.   CANCER AND METASTASIS REVIEWS

Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes

(2012) Rui Chen et al.   CELL

A Direct Estimation Approach to Sparse Linear Discriminant Analysis

(2012) Tony Cai et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Estimating False Discovery Proportion Under Arbitrary Covariance Dependence

(2012) Jianqing Fan et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Feature Screening via Distance Correlation Learning

(2012) Runze Li et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Detecting outliers in high-dimensional neuroimaging datasets with robust covariance estimators

(2012) Virgile Fritsch et al.   MEDICAL IMAGE ANALYSIS

Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems

(2012) Yu. Nesterov   SIAM JOURNAL ON OPTIMIZATION

Would the field of cognitive neuroscience be advanced by sharing functional MRI data?

(2011) Kristina M Visscher et al.   BMC Medicine

Principled sure independence screening for Cox models with ultra-high-dimensional covariates

(2011) Sihai Dave Zhao et al.   JOURNAL OF MULTIVARIATE ANALYSIS

Phase transition in limiting distributions of coherence of high-dimensional random matrices

(2011) T. Tony Cai et al.   JOURNAL OF MULTIVARIATE ANALYSIS

Robust principal component analysis?

(2011) Emmanuel J. Candès et al.   JOURNAL OF THE ACM

Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models

(2011) Jianqing Fan et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Adaptive Thresholding for Sparse Covariance Matrix Estimation

(2011) Tony Cai et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

A Constrainedℓ1Minimization Approach to Sparse Precision Matrix Estimation

(2011) Tony Cai et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Variance estimation using refitted cross-validation in ultrahigh dimensional regression

(2011) Jianqing Fan et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Twitter mood predicts the stock market

(2011) Johan Bollen et al.   Journal of Computational Science

Sure independence screening in generalized linear models with NP-dimensionality

(2010) Jianqing Fan et al.   ANNALS OF STATISTICS

Nearly unbiased variable selection under minimax concave penalty

(2010) Cun-Hui Zhang   ANNALS OF STATISTICS

Making a definitive diagnosis: Successful clinical application of whole exome sequencing in a child with intractable inflammatory bowel disease

(2010) Elizabeth A Worthey et al.   GENETICS IN MEDICINE

A Data-Adaptive Sum Test for Disease Association with Multiple Common or Rare Variants

(2010) Fang Han et al.   HUMAN HEREDITY

Correlatedz-Values and the Accuracy of Large-Scale Statistical Estimates

(2010) Bradley Efron   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Theoretical measures of relative performance of classifiers for high dimensional data with small sample sizes

(2010) Peter Hall et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

ℓ1-penalization for mixture regression models

(2010) Nicolas Städler et al.   TEST

The case for cloud computing in genome informatics

(2010) Lincoln D Stein   GENOME BIOLOGY

High-dimensional classification using features annealed independence rules

(2009) Jianqing Fan et al.   ANNALS OF STATISTICS

Covariance regularization by thresholding

(2009) Peter J. Bickel et al.   ANNALS OF STATISTICS

Simultaneous analysis of Lasso and Dantzig selector

(2009) Peter J. Bickel et al.   ANNALS OF STATISTICS

Using Generalized Correlation to Effect Variable Selection in Very High Dimensional Problems

(2009) Peter Hall et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

An overview of recent developments in genomics and associated statistical methods

(2009) P. J. Bickel et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

CUR matrix decompositions for improved data analysis

(2009) Michael W. Mahoney et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

(2009) Amir Beck et al.   SIAM Journal on Imaging Sciences

Coordinate descent algorithms for lasso penalized regression

(2008) Tong Tong Wu et al.   Annals of Applied Statistics

One-step sparse estimates in nonconcave penalized likelihood models

(2008) Hui Zou et al.   ANNALS OF STATISTICS

An Introduction To Compressive Sampling

(2008) E.J. Candes et al.   IEEE SIGNAL PROCESSING MAGAZINE

High dimensional covariance matrix estimation using a factor model

(2008) Jianqing Fan et al.   JOURNAL OF ECONOMETRICS

Enhancing Sparsity by Reweighted ℓ 1 Minimization

(2008) Emmanuel J. Candès et al.   JOURNAL OF FOURIER ANALYSIS AND APPLICATIONS

Sure independence screening for ultrahigh dimensional feature space

(2008) Jianqing Fan et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Empirical null and false discovery rate analysis in neuroimaging

(2008) A SCHWARTZMAN et al.   NEUROIMAGE