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Discussion of Random Projection Ensemble Classificationby Timothy I.…
www.statslab.cam.ac.uk/~rds37/papers/CHEN_SHAH.pdf2 Jan 2020: 1012. 14. Ionosphere. 50 100 200. 89. 1011. 1213. 1415. Musk. ... 3540. Eye state. 50 200 1000. Fig. 1. Misclassification rates and the corresponding confidence intervals of the original randomprojection ensemble classifier (grey) and the multiple random -
Math. Stat. Learn. 2 (2019), 165–216DOI 10.4171/MSL/14 Mathematical…
www.statslab.cam.ac.uk/~nickl/Site/__files/MSL.pdf24 Sep 2020: Math. Stat. Learn. 2 (2019), 165–216DOI 10.4171/MSL/14. Mathematical Statistics and Learning European Mathematical Society. On statistical Calderón problems. Kweku Abraham and Richard Nickl. Abstract. For D a bounded domain in Rd;d 2; with smooth -
Abstract We survey the published work of Harry Kesten ...
www.statslab.cam.ac.uk/~grg/papers/kesten-ptrf-final.pdf13 Nov 2020: Abstract We survey the published work of Harry Kesten in probability theory,with emphasis on his contributions to random walks, branching processes, perco-lation, and related topics. A complete bibliography is included of his publications. Keywords -
Mathematical Foundations of Infinite-Dimensional Statistical Models
www.statslab.cam.ac.uk/~nickl/Site/__files/FULLPDF.pdf25 Feb 2020: Mathematical Foundations of Infinite-DimensionalStatistical Models. In nonparametric and high-dimensional statistical models, the classical Gauss–Fisher–Le Cam theory of the optimality of maximum likelihood and Bayesianposterior inference does
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