Jiashun's Reports (by year)

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2014

• Coauthorship and Citation networks for statisticians.
  With Pengsheng Ji. Manuscript.
  

• Partial Correlation Screening for estimating large precision matrices, with applications to classification.
  With Shiqiong Huang and Zhigang Yao. Manuscript.
  

• High dimensional clustering by post-selection PCA.
  With Wanjie Wang. Manuscript.
  

• Rare and weak effects in large-scale inference: methods and phase diagrams.
  With Zheng Tracy Ke.
  

2013

• Higher Criticism for large-scale inference: especially for rare and weak effects.
  With David Donoho. Statistical Science, 30(1), 1-25.
  

• Discussion on "Multi-scale change-point inference" by Frick et al (2013).
  With Z. Ke. J. Roy. Statist. Soc. B 76(3), 555-557.

2012

• Optimal classification in sparse Gaussian graphic model.
  With Yingying Fan and Zhigang Yao. Ann. Statist. 41(5), 2537-2571.
  

• Fast network community detection by SCORE.
  Ann. Statist. 43(1), 57-89.
  

• Covariance assisted screening and estimation.
  With Jianqing Fan and Tracy Ke. Ann. Statist. 42(6) 2202-2242.
  

• Optimality of graphlet screening in high dimensional variable selection.
  With Cun-Hui Zhang and Qi Zhang. J. Mach. Learn. Res. 15 (2014) 2723-2772.
  

• Detection boundary and Higher Criticism approach for sparse and weak genetic effects.
  With Zheyang Wu, Yiming Sun, Shiquan He, Judy Cho, Hongyu Zhao. Ann. Appl. Statist. 8(2), 824-851.
  

• Comments on "Estimating False Discovery Proportion under arbitrary covariance dependence" by Fan, Han, and Gu.
  JASA 107, 1042-1045, short discussion.
  

2011

• Almost sure limit relative frequencies for discrete random walks.
  With Jay Kadane, Econometric Review, 33(1-4), 372-378.
  

2010

• UPS delivers optimal phase diagram in high dimensional variable selection.
  With Pengsheng Ji, Ann. Statist., 40(1), 73-103.
  

• Detecting sparse heterogeneous and heteroscedastic mixtures.
  With Tony Cai and X. Jessie Jeng. JRSS-B 73, 629-662.
  

• Privacy-preserving data sharing in high dimensional regression and classification settings.
  With Stephen E. Fienberg. Journal of Privacy and Confidentiality. 4(1), 221-243.
  

• Robustness and accuracy of methods for high dimensional data analysis based on Student's t statistic. .
  With Aurore Delaigle and Peter Hall. JRSS-B, 73, 283-301.
  

2009

• Feature selection when there are many influential features.
  With Peter Hall and Hugh Miller. Bernoulli, 20(3), 1647-1671.
  

• A comparison of the lasso and marginal regression.
  With Christopher Genovese, Larry Wasserman, and zhigang Yao. J. Mach. Learn. Res. 13, 2107-2143.
  

• A generalized Fourier approach to estimating the null and the proportion of non-null effects in large-scale multiple testing.
  With Jie Peng and Pei Wang, J. Stat. Res. 44(1), 1-27 (a special volume of JSR in honor or Bradley Efron).
  

• Impossibility of successful classication when useful features are rare and weak
  Proc. Natl. Acad. Sci., 106(22), 8859-8864
  (One of the top 30 most read papers of June 2009 in PNAS).
  

• Innovated Higher Criticism for detecting sparse signals in correlated noise.
  With Peter Hall. Ann. Statist. Vol 38(3) 1686-1732.

2008

• Large partial random permutation of conditionally convergent series.
  With Joesph Kadane and Avranil Sarkar, to appear in Stochastics.

• Feature selection by Higher Criticism thresholding: optimal phase diagram.
  With David Donoho, Phil. Tran. Roy. Soc. A, 367, 4449-4470.

• Optimal rate of convergence of estimating the null density and the proportion of non-null effects in large-scale multiple testing.
  With Tony Cai, Ann. Statist., Vol 38(1), 100-145.

• Higher Criticism thresholding: optimal feature selection when useful features and rare and weak.
  With David Donoho, Proc. Natl. Acad. Sci., vol 105 no 39 14790-14795. (Software will be posted soon).

2007

• Statistical disclosure limitation for data access.
  With Stephen Fienberg, Encyclopedia of Database Systems, 2782-2789, Springer US.

• Matrix Masking.
  With Stephen Fienberg, Encyclopedia of Database Systems, 1698-1699, Springer US.

2006

• Properties of higer criticism under long-range dependence.
  With Peter Hall, Ann. Statist. 36(1), 381-402.

• Proportion of nonzero normal means: oracle equivalence and uniformly consistent estimators.
  Journal of the Royal Statistical Society (JRSS), Series B. 70(3), 461-493.

• Counting of six pRNAs of phi29 DNA-packaging motor with customized single-molecule dual-view system.
  With Dan Shu, Hui Zhang, and Peixuan Guo. In press, The Embo journal, 26, 2, 527-537.
  See abstract and related information in Purdue News.
  

• Estimating the Null and the Proportion of non-Null Effects in Large-Scale Multiple Comparisons.
  With T. Cai. Journal of the American Statistical Association (JASA), 495-506.
  Clik here for software in R.
  

• The Non-Gaussian Cold Spot in the 3-Year WMAP Data,
  With M. Cruz, L. Cayon, E. Martinez-Gonzalez, and P. Vielva, The Astrophysical Journal, Vol 655, 11.

2005

• No Higher Criticism of the Bianchi Corrected WMAP Data.
  With L. Cayon, A.J. Banday, T. Jaffe, H.K. Eriksen, F.K. Hansen and K.M. Gorski, Mon. Not. Roy. Astron. Soc. Vol. 369, Issue 2, 598-602.

• Higher Criticism Statistic: Theory and Applications in nonGaussian detection.
  Proceeding of PHYSTAT 2005, Oxford.

• Estimation and Confidence Sets For Sparse Normal Mixtures.
  With T. Cai and M. G. Low. Ann. Statist. 35 2421-2449.

• Higher Criticism Statsistic: Detecting and Identifying Non-Gaussianity in the WMAP First Year Data.
  With L.Cayon and A. Treaster, Mon. Not. Roy. Astron. Soc., 362, 826-832.

2004

• Asymptotic Minimaxity of FDR for Sparse Exponential Model.
  With D.L.Donoho, Ann. Statist., Vol 34, No. 6, 2980-3018.

• Cosmological non-Gaussian Signature Detection: Comparing Performance of Different Statistical Tests.
  With J.-L Starck, D.L. Donoho, N. Aghanim and O. Forni, Eurasip Journal on Applied Signal Processing, 15, 2470-2485.

• When do Data Mining Results Violate Privacy?
  With Murat Kantarcioglu and Chris Clifton. The Tenth ACM SIGKDD International Conference on Knowledge Discovery (2004).
  

• Detecting A Target in Very Noisy Data From Multiple Looks.
  IMS Monograph, No. 45, 255-286.

• Higher Criticism for Detecting Sparse Heterogeneous Mixtures.
  With D. L. Donoho. Ann. Statist., Vol 32, No.3, 962-994.