Yun Yang

20122019
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Predictors Mathematics
Nonparametric Regression Mathematics
High-dimensional Mathematics
Minimax Mathematics
Sparsity Mathematics
Bayesian Variable Selection Mathematics
Gaussian Process Mathematics
Regression Mathematics

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Research Output 2012 2019

  • 10 Article
  • 2 Conference contribution

A Bayesian approach to sequential monitoring of nonlinear profiles using wavelets

Varbanov, R., Chicken, E., Linero, A. & Yang, Y., Apr 1 2019, In : Quality and Reliability Engineering International. 35, 3, p. 761-775 15 p.

Research output: Contribution to journalArticle

Monitoring
Markov processes
Computational complexity
Tuning
Wavelets

Communication-Efficient Distributed Statistical Inference

Jordan, M. I., Lee, J. D. & Yang, Y., Apr 3 2019, In : Journal of the American Statistical Association. 114, 526, p. 668-681 14 p.

Research output: Contribution to journalArticle

Statistical Inference
Likelihood
Bayesian inference
High-dimensional
Markov Chain Monte Carlo Algorithms

Bayesian regression tree ensembles that adapt to smoothness and sparsity

Linero, A. R. & Yang, Y., Nov 1 2018, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 80, 5, p. 1087-1110 24 p.

Research output: Contribution to journalArticle

Regression Tree
Sparsity
Decision tree
Smoothness
Ensemble

Joint Estimation of Quantile Planes Over Arbitrary Predictor Spaces

Yang, Y. & Tokdar, S. T., Jul 3 2017, In : Journal of the American Statistical Association. 112, 519, p. 1107-1120 14 p.

Research output: Contribution to journalArticle

Quantile
Parameterization
Predictors
Posterior Consistency
Penalized Likelihood

Randomized sketches for kernels: Fast and optimal nonparametric regression

Yang, Y., Pilanci, M. & Wainwright, M. J., Jun 1 2017, In : Annals of Statistics. 45, 3, p. 991-1023 33 p.

Research output: Contribution to journalArticle

Kernel Regression
Nonparametric Regression
Ridge Regression
kernel
Regression Estimate