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High dimensional single index models. (2015). Radchenko, Peter.
In: Journal of Multivariate Analysis.
RePEc:eee:jmvana:v:139:y:2015:i:c:p:266-282.

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  1. Inferences for extended partially linear single-index models. (2023). Wang, Suojin ; Chen, Zijuan.
    In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
    RePEc:spr:testjl:v:32:y:2023:i:2:d:10.1007_s11749-022-00845-8.

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  2. Estimation of projection pursuit regression via alternating linearization. (2023). Qin, XU ; Zhan, Haoran ; Tan, Xin.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:187:y:2023:i:c:s0167947323001044.

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  3. Single-index composite quantile regression for ultra-high-dimensional data. (2022). Sun, Mengxian ; Jiang, Rong.
    In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
    RePEc:spr:testjl:v:31:y:2022:i:2:d:10.1007_s11749-021-00785-9.

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  4. Graph informed sliced inverse regression. (2021). Artemiou, Andreas ; Pircalabelu, Eugen.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:164:y:2021:i:c:s0167947321001365.

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  5. Optimal estimation of slope vector in high-dimensional linear transformation models. (2019). Lu, Xin.
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:169:y:2019:i:c:p:179-204.

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  6. Variable selection and direction estimation for single-index models via DC-TGDR method. (2018). Ma, Shuangge ; Liu, XI ; Zhong, Wei.
    In: IRTG 1792 Discussion Papers.
    RePEc:zbw:irtgdp:2018050.

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  7. Variable selection for high dimensional Gaussian copula regression model: An adaptive hypothesis testing procedure. (2018). He, Yong ; Zhang, Liwen.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:124:y:2018:i:c:p:132-150.

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  8. Semi-parametric order-based generalized multivariate regression. (2017). Kharratzadeh, Milad ; Coates, Mark .
    In: Journal of Multivariate Analysis.
    RePEc:eee:jmvana:v:156:y:2017:i:c:p:89-102.

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References

References cited by this document

  1. Bellman, R.E. Adaptive Control Processes. 1961 Princeton University Press:
    Paper not yet in RePEc: Add citation now
  2. Bickel, P. ; Ritov, Y. ; Tsybakov, A. Simultaneous analysis of lasso and dantzig selector. 2009 Ann. Statist.. 37 1705-1732
    Paper not yet in RePEc: Add citation now

  3. Bondell, H. ; Li, L. Shrinkage inverse regression estimation for model free variable selection. 2009 J. R. Stat. Soc. Ser. B. 71 287-299

  4. Candes, E. ; Tao, T. The Dantzig selector: Statistical estimation when p is much larger than n (with discussion). 2007 Ann. Statist.. 35 2313-2351
    Paper not yet in RePEc: Add citation now

  5. Choi, N.H. ; Li, W. ; Zhu, J. Variable selection with the strong heredity constraint and its oracle property. 2010 J. Amer. Statist. Assoc.. 105 354-364

  6. Cook, R. Regression Graphics: Ideas for Studying Regressions Throgh Graphics. 1998 Wiley: New York
    Paper not yet in RePEc: Add citation now
  7. Cui, X. ; Härdle, W. ; Zhu, L. The EFM approach for single-index models. 2011 Ann. Statist.. 39 1658-1688
    Paper not yet in RePEc: Add citation now

  8. Fan, J. ; Feng, Y. ; Song, R. Nonparametric independence screening in sparse ultra-high dimensional additive models. 2011 J. Amer. Statist. Assoc.. 116 544-557

  9. Härdle, W. ; Hall, P. ; Ichimura, H. Optimal smoothing in single-index models. 1993 Ann. Statist.. 21 157-178
    Paper not yet in RePEc: Add citation now
  10. Härdle, W. ; Stoker, T.M. Investing smooth multiple regression by the method of average derivatives. 1989 J. Amer. Statist. Assoc.. 84 986-995
    Paper not yet in RePEc: Add citation now
  11. Hall, P. On projection pursuit regression. 1989 Ann. Statist.. 17 573-588
    Paper not yet in RePEc: Add citation now
  12. Hastie, T.J. ; Tibshirani, R.J. ; Friedman, J. The Elements of Statistical Learning. 2009 Springer:
    Paper not yet in RePEc: Add citation now
  13. Horowitz, J. ; Härdle, W. Direct semiparametric estimation of a single-index model with discrete covariates. 1996 J. Amer. Statist. Assoc.. 91 1632-1640
    Paper not yet in RePEc: Add citation now
  14. Hristache, M. ; Juditsky, A. ; Spokoiny, V. Direct estimation of the index coefficient in a single-index model. 2001 Ann. Statist.. 29 595-623
    Paper not yet in RePEc: Add citation now
  15. Huang, J. ; Horowitz, J. ; Wei, F. Variable selection in nonparametric additive models. 2010 Ann. Statist.. 38 2282-2313
    Paper not yet in RePEc: Add citation now
  16. Ichimura, H. Semiparametric least squares (sls) and weighted sls estimation of single-index models. 1993 J. Econometrics. 58 71-120
    Paper not yet in RePEc: Add citation now

  17. Ichimura, H. ; Lee, S. Characterization of the asymptotic distribution of semiparametric m-estimators. 2010 J. Econometrics. 159 252-266

  18. Li, L. ; Yin, X. Sliced inverse regression with regularizations. 2008 Biometrics. 64 124-131

  19. Meier, L. ; van~de Geer, S. ; Bühlmann, P. High-dimensional additive modeling. 2009 Ann. Statist.. 37 3779-3821
    Paper not yet in RePEc: Add citation now

  20. Meinshausen, N. Relaxed lasso. 2007 Comput. Statist. Data Anal.. 52 374-393

  21. Meinshausen, N. ; Yu, B. Lasso-type recovery of sparse representations for high-dimensional data. 2009 Ann. Statist.. 37 246-270
    Paper not yet in RePEc: Add citation now
  22. Negahban, S. ; Ravikumar, P. ; Wainwright, M. ; Yu, B. A unified framework for high-dimensional analysis of m-estimators with decomposable regularizers. 2012 Statist. Sci.. 27 538-557
    Paper not yet in RePEc: Add citation now

  23. Ni, L. ; Cook, R. ; Tsai, C. A note on shrinkage sliced inverse regression. 2005 Biometrika. 92 242-247

  24. Peng, H. ; Huang, T. Penalized least squares for single index models. 2011 J. Statist. Plann. Inference. 141 1362-1379
    Paper not yet in RePEc: Add citation now

  25. Pollard, D. ; Radchenko, P. Nonlinear least-squares estimation. 2006 J. Multivariate Anal.. 97 548-562

  26. Radchenko, P. ; James, G.M. Variable inclusion and shrinkage algorithms. 2008 J. Amer. Statist. Assoc.. 103 1304-1315
    Paper not yet in RePEc: Add citation now

  27. Radchenko, P. ; James, G.M. Variable selection using adaptive nonlinear interaction structures in high dimensions. 2010 J. Amer. Statist. Assoc.. 105 1541-1553

  28. Ravikumar, P. ; Lafferty, J. ; Liu, H. ; Wasserman, L. Sparse additive models. 2009 J. R. Stat. Soc. Ser. B. 71 1009-1030

  29. Schumaker, L. Spline Functions: Basic Theory. 1981 Wiley: New York
    Paper not yet in RePEc: Add citation now
  30. van~de Geer, S. Empirical Processes in M-Estimation. 1999 Cambridge University Press:
    Paper not yet in RePEc: Add citation now
  31. van~der Vaart, A.W. ; Wellner, J.A. Weak Convergence and Empirical Processes: With Applications to Statistics. 1996 Springer-Verlag:
    Paper not yet in RePEc: Add citation now
  32. Wang, L. ; Yang, L. Spline estimation of single-index models. 2009 Statist. Sinica. 19 765-783
    Paper not yet in RePEc: Add citation now

  33. Wang, Q. ; Yin, X. A nonlinear multi-dimensional variable selection method for high dimensional data: Sparse mave. 2008 Comput. Statist. Data Anal.. 52 -

  34. Wang, T. ; Xu, P.-R. ; Zhu, L.-X. Non-convex penalized estimation in high-dimensional models with single-index structure. 2012 J. Multivariate Anal.. 109 221-235

  35. Wu, Y. ; Li, L. Asymptotic properties of sufficient dimension reduction with a diverging number of predictors. 2011 Statist. Sinica. 21 707-730
    Paper not yet in RePEc: Add citation now

  36. Xia, Y. ; Tong, H. ; Li, W. ; Zhu, L.-X. An adaptive estimation of dimension reduction space (with discussion). 2002 J. R. Stat. Soc. Ser. B. 64 363-410

  37. Yu, Y. ; Ruppert, D. Penalized spline estimation for partially linear single index models. 2002 J. Amer. Statist. Assoc.. 97 1042-1054

  38. Yu, Z. ; Zhu, L. ; Peng, H. ; Zhu, L. Dimension reduction and predictor selection in semiparametric models. 2013 Biometrika. 100 641-654

  39. Zhou, J. ; He, X. Dimension reduction based on constrained canonical correlation and variable filtering. 2008 Ann. Statist.. 36 1649-1668
    Paper not yet in RePEc: Add citation now
  40. Zhou, S. ; Shen, X. ; Wolfe, D. Local asymptotics for regression splines and confidence regions. 1998 Ann. Statist.. 26 1760-1782
    Paper not yet in RePEc: Add citation now
  41. Zhu, L. ; Li, L. ; Li, R. ; Zhu, L. Model-free feature screening for ultrahigh-dimensional data. 2011 J. Amer. Statist. Assoc.. 106 1464-1475
    Paper not yet in RePEc: Add citation now

  42. Zhu, L. ; Zhu, L. Nonconcave penalized inverse regression in single index models with high dimensional predictors. 2009 J. Multivariate Anal.. 100 862-875

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