Professor (Grade 11)
Research Interests: High-dimensional statistics and large-scale data analysis
Publications
On b-bit min-wise hashing for large-scale regression and classification with sparse data
– Journal of Machine Learning Research
(2018)
18,
1
Goodness-of-Fit Tests for High Dimensional Linear Models
– Journal of the Royal Statistical Society Series B (Statistical Methodology)
(2017)
80,
113
(doi: 10.1111/rssb.12234)
Modelling Interactions in High-dimensional Data with Backtracking
– Journal of Machine Learning Research
(2016)
17,
1
Modelling interactions in high-dimensional data with backtracking
– Journal of Machine Learning Research
(2016)
17,
1
Comment.
– Journal of the American Statistical Association
(2016)
110,
1439
Diffuse large B-cell lymphoma classification system that associates normal B-cell subset phenotypes with prognosis.
– Journal of clinical oncology : official journal of the American Society of Clinical Oncology
(2015)
33,
1379
(doi: 10.1200/jco.2014.57.7080)
An Adaptive Resampling Test for Detecting the Presence of Significant Predictors Comment
– JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
(2015)
110,
1439
Random Intersection Trees
– Journal of Machine Learning Research
(2014)
15,
629
Discussion of 'Correlated variables in regression: Clustering and sparse estimation' by Peter Bühlmann, Philipp Rütimann, Sara van de Geer and Cun-Hui Zhang
– Journal of Statistical Planning and Inference
(2013)
143,
1866
(doi: 10.1016/j.jspi.2013.05.022)
Variable selection with error control: another look at stability selection
– Journal of the Royal Statistical Society. Series B: Statistical Methodology
(2013)
75,
55
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