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References from Challenges of Big Data analysis. Local targets link to admitted publications; unresolved targets remain external evidence.
The case for cloud computing in genome informatics
10.1186/gb-2010-11-5-207 · 2010 · External reference
High-dimensional data analysis: the curses and blessings of dimensionality
External reference
Discussion on the paper ‘Sure independence screening for ultrahigh dimensional feature space’ by Fan and Lv
2008 · External reference
High dimensional classification using features annealed independence rules
10.1214/07-aos504 · 2008 · External reference
Theoretical measures of relative performance of classifiers for high dimensional data with small sample sizes
10.1111/j.1467-9868.2007.00631.x · 2008 · External reference
Regression shrinkage and selection via the lasso
10.1111/j.2517-6161.1996.tb02080.x · 1996 · External reference
Atomic decomposition by basis pursuit
10.1137/s1064827596304010 · 1998 · External reference
Variable selection via nonconcave penalized likelihood and its oracle properties
10.1198/016214501753382273 · 2001 · External reference
The Dantzig selector: statistical estimation when p is much larger than n
10.1214/009053606000001523 · 2007 · External reference
Nearly unbiased variable selection under minimax concave penalty
10.1214/09-aos729 · 2010 · External reference
Sure independence screening for ultrahigh dimensional feature space (with discussion)
10.1111/j.1467-9868.2008.00674.x · 2008 · External reference
Using generalized correlation to effect variable selection in very high dimensional problems
10.1198/jcgs.2009.08041 · 2009 · External reference
A comparison of the lasso and marginal regression
2012 · External reference
Variance estimation using refitted cross-validation in ultrahigh dimensional regression
10.1111/j.1467-9868.2011.01005.x · 2012 · External reference
Posterior consistency of nonparametric conditional moment restricted models
10.1214/11-aos930 · 2011 · External reference
Endogeneity in ultrahigh dimension
2012 · External reference
Features of big data and sparsest solution in high confidence set
2013 · External reference
Optimally sparse representation in general (nonorthogonal) dictionaries via L1 minimization
10.1073/pnas.0437847100 · 2003 · External reference
Least angle regression
10.1214/009053604000000067 · 2004 · External reference
Gradient directed regularization for linear regression and classification
2003 · External reference
Penalized regressions: the bridge versus the lasso
10.1080/10618600.1998.10474784 · 1998 · External reference
Coordinate descent algorithms for lasso penalized regression
10.1214/07-aoas147 · 2008 · External reference
An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
10.1002/cpa.20042 · 2004 · External reference
A fast iterative shrinkage-thresholding algorithm for linear inverse problems
10.1137/080716542 · 2009 · External reference
Optimization transfer using surrogate objective functions
10.1080/10618600.2000.10474858 · 2000 · External reference
Variable selection using MM algorithms
10.1214/009053605000000200 · 2005 · External reference
One-step sparse estimates in nonconcave penalized likelihood models
10.1214/009053607000000802 · 2008 · External reference
Ultrahigh dimensional feature selection: beyond the linear model
2009 · External reference
10.1561/2200000016 · 2011 · Admitted local publication
Unresolved reference
2011 · External reference
Distributed graphlab: a framework for machine learning and data mining in the cloud
10.14778/2212351.2212354 · 2012 · External reference
Making a definitive diagnosis: successful clinical application of whole exome sequencing in a child with intractable inflammatory bowel disease
10.1097/gim.0b013e3182088158 · 2010 · External reference
Personal omics profiling reveals dynamic molecular and medical phenotypes
10.1016/j.cell.2012.02.009 · 2012 · External reference
Multiple rare alleles contribute to low plasma levels of HDL cholesterol
10.1126/science.1099870 · 2004 · External reference
A data-adaptive sum test for disease association with multiple common or rare variants
10.1159/000288704 · 2010 · External reference
An overview of recent developments in genomics and associated statistical methods
10.1098/rsta.2009.0164 · 2009 · External reference
Capturing heterogeneity in gene expression studies by surrogate variable analysis
10.1371/journal.pgen.0030161 · 2007 · External reference
Controlling the false discovery rate: a practical and powerful approach to multiple testing
10.1111/j.2517-6161.1995.tb02031.x · 1995 · External reference
The positive false discovery rate: a Bayesian interpretation and the q-value
10.1214/aos/1074290335 · 2003 · External reference
Empirical null and false discovery rate analysis in neuroimaging
10.1016/j.neuroimage.2008.04.182 · 2009 · External reference
Correlated z-values and the accuracy of large-scale statistical estimates
10.1198/jasa.2010.tm09129 · 2010 · External reference
Control of the false discovery rate under arbitrary covariance dependence
10.1080/01621459.2012.720478 · 2012 · External reference
Gene expression omnibus: NCBI gene expression and hybridization array data repository
10.1093/nar/30.1.207 · 2002 · External reference
What has functional neuroimaging told us about the mind? So many examples little space
10.1016/s0010-9452(08)70372-1 · 2006 · External reference
Would the field of cognitive neuroscience be advanced by sharing functional MRI data?
10.1186/1741-7015-9-34 · 2011 · External reference
The International Neuroimaging Data-sharing Initiative (INDI) and the Functional Connectomes Project
2011 · External reference
The autism brain imaging data exchange: Towards a large-scale evaluation of the intrinsic brain architecture in autism
2013 · External reference
The ADHD-200 Consortium. The ADHD-200 consortium: a model to advance the translational potential of neuroimaging in clinical neuroscience
2012 · External reference
Detecting outliers in high-dimensional neuroimaging datasets with robust covariance estimators
10.1016/j.media.2012.05.002 · 2012 · External reference
Unresolved reference
2011 · External reference
Transition matrix estimation in high dimensional time series
2013 · External reference
Unresolved reference
2001 · External reference
10.1017/cbo9780511615337
10.1017/cbo9780511615337 · 2002 · External reference
Forecasting using principal components from a large number of predictors
10.1198/016214502388618960 · 2002 · External reference
Determining the number of factors in approximate factor models
10.1111/1468-0262.00273 · 2002 · External reference
Inferential theory for factor models of large dimensions
10.1111/1468-0262.00392 · 2003 · External reference
The generalized dynamic factor model: one-sided estimation and forecasting
10.1198/016214504000002050 · 2005 · External reference
High dimensional covariance matrix estimation using a factor model
10.1016/j.jeconom.2008.09.017 · 2008 · External reference
Covariance regularization by thresholding
10.1214/08-aos600 · 2008 · External reference
Adaptive thresholding for sparse covariance matrix estimation
10.1198/jasa.2011.tm10560 · 2011 · External reference
Noisy matrix decomposition via convex relaxation: optimal rates in high dimensions
10.1214/12-aos1000 · 2012 · External reference
High-dimensional semiparametric Gaussian copula graphical models
10.1214/12-aos1037 · 2012 · External reference
Regularized rank-based estimation of high-dimensional nonparanormal graphical models
10.1214/12-aos1041 · 2012 · External reference
Transelliptical graphical models
2012 · External reference
Large covariance estimation by thresholding principal orthogonal complements
10.1111/rssb.12016 · 2013 · External reference
10.1002/9781118573617
10.1002/9781118573617 · 2013 · External reference
Twitter catches the flu: detecting influenza epidemics using twitter
2011 · External reference
Twitter mood predicts the stock market
10.1016/j.jocs.2010.12.007 · 2011 · External reference
Predicting the future with social media
2010 · External reference
Variable selection in finite mixture of regression models
10.1198/016214507000000590 · 2007 · External reference
ℓ1-penalization for mixture regression models
10.1007/s11749-010-0197-z · 2010 · External reference
10.1007/978-0-387-84858-7
10.1007/978-0-387-84858-7 · 2009 · External reference
10.1007/978-3-642-20192-9
10.1007/978-3-642-20192-9 · 2011 · External reference
Phase transition in limiting distributions of coherence of high-dimensional random matrices
10.1016/j.jmva.2011.11.008 · 2012 · External reference
Exogeneity
10.2307/1911990 · 1983 · External reference
ArrayExpress—a public repository for microarray gene expression data at the EBI
10.1093/nar/gkg091 · 2003 · External reference
Discoidin domain receptor tyrosine kinases: new players in cancer progression
10.1007/s10555-012-9346-z · 2012 · External reference
A new look at the statistical model identification
10.1109/tac.1974.1100705 · 1974 · External reference
Risk bounds for model selection via penalization
10.1007/s004400050210 · 1999 · External reference
Wavelets in statistics: a review
10.1007/bf03178905 · 1997 · External reference
Regularization of wavelet approximations
10.1198/016214501753208942 · 2001 · External reference
Ideal spatial adaptation by wavelet shrinkage
10.1093/biomet/81.3.425 · 1994 · External reference
Longitudinal data analysis using generalized linear models
10.1093/biomet/73.1.13 · 1986 · External reference
A constrained L1 minimization approach to sparse precision matrix estimation
10.1198/jasa.2011.tm10155 · 2011 · External reference
A direct estimation approach to sparse linear discriminant analysis
10.1198/jasa.2011.tm11199 · 2011 · External reference
Simultaneous analysis of lasso and Dantzig selector
10.1214/08-aos620 · 2009 · External reference
High-dimensional instrumental variables regression and confidence sets
2011 · External reference
Sure independence screening in generalized linear models with NP-dimensionality
10.1214/10-aos798 · 2010 · External reference
Nonparametric independence screening in sparse ultra-high dimensional additive models
10.1198/jasa.2011.tm09779 · 2011 · External reference
Principled sure independence screening for Cox models with ultra-high-dimensional covariates
10.1016/j.jmva.2011.08.002 · 2012 · External reference
Feature screening via distance correlation learning
10.1080/01621459.2012.695654 · 2012 · External reference
Robust rank correlation based screening
10.1214/12-aos1024 · 2012 · External reference
Unresolved reference
2012 · External reference
10.1017/cbo9780511804441
10.1017/cbo9780511804441 · 2004 · External reference
A survey of dimension reduction techniques
2002 · External reference
Unresolved reference
2003 · External reference
Pathwise coordinate optimization
10.1214/07-aoas131 · 2007 · External reference
Efficiency of coordinate descent methods on huge-scale optimization problems
10.1137/100802001 · 2012 · External reference
Enhancing sparsity by reweighted L1 minimization
10.1007/s00041-008-9045-x · 2008 · External reference
Unresolved reference
2013 · External reference
Fast global convergence of gradient methods for high-dimensional statistical recovery
10.1214/12-aos1032 · 2012 · External reference
Unresolved reference
2013 · External reference
Unresolved reference
2012 · External reference
Extensions of Lipschitz mappings into a Hilbert space
10.1090/conm/026/737400 · 1984 · External reference
Compressed sensing
10.1109/tit.2006.871582 · 2006 · External reference
Extensions of compressed sensing
10.1016/j.sigpro.2005.05.029 · 2006 · External reference
Sparse MRI: the application of compressed sensing for rapid MR imaging
10.1002/mrm.21391 · 2007 · External reference
Gradient projection for sparse reconstruction: application to compressed sensing and other inverse problems
10.1109/jstsp.2007.910281 · 2007 · External reference
An introduction to compressive sampling
10.1109/msp.2007.914731 · 2008 · External reference
Unresolved reference
1994 · External reference
Database-friendly random projections
10.1145/375551.375608 · 2001 · External reference
Indexing by latent semantic analysis
10.1002/(sici)1097-4571(199009)41:6<391::aid-asi1>3.0.co;2-9 · 1990 · External reference
Unresolved reference
2007 · External reference
CUR matrix decompositions for improved data analysis
10.1073/pnas.0803205106 · 2009 · External reference
On the class of elliptical distributions and their applications to the theory of portfolio choice
10.1111/j.1540-6261.1983.tb02499.x · 1983 · External reference
In search of non-Gaussian components of a high-dimensional distribution
2006 · External reference
Scale-Invariant Sparse PCA on High Dimensional Meta-elliptical Data
External reference
Robust principal component analysis?
10.1145/1970392.1970395 · 2011 · External reference
High-dimensional regression with noisy and missing data: provable guarantees with nonconvexity
10.1214/12-aos1018 · 2012 · External reference
Factor modeling for high-dimensional time series: inference for the number of factors
10.1214/12-aos970 · 2012 · External reference
Principal component analysis on non-Gaussian dependent data
2013 · External reference
Oracle inequalities for the lasso in the Cox model
10.1214/13-aos1098 · 2013 · External reference
