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07/12/2023
Sparse factor models of high dimension
We consider the estimation of factor model-based variance-covariance mat...
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11/03/2022
Convex Clustering through MM: An Efficient Algorithm to Perform Hierarchical Clustering
Convex clustering is a modern method with both hierarchical and k-means ...
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06/14/2020
Prediction of aftershocks with Gaussian process regression
Uncovering the distribution of magnitudes and arrival times of aftershoc...
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06/14/2020
Prediction of aftershocks with GPR
Uncovering the distribution of magnitudes and arrival times of aftershoc...
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10/14/2019
More Powerful Selective Kernel Tests for Feature Selection
Refining one's hypotheses in the light of data is a commonplace scientif...
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07/25/2019
Fast generalization error bound of deep learning without scale invariance of activation functions
In theoretical analysis of deep learning, discovering which features of ...
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05/25/2019
Selective inference after variable selection via multiscale bootstrap
A general resampling approach is considered for selective inference prob...
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02/13/2019
Selective Inference for Testing Trees and Edges in Phylogenetics
Selective inference is considered for testing trees and edges in phyloge...
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11/02/2017
Selective inference for the problem of regions via multiscale bootstrap
Selective inference procedures are considered for computing approximatel...
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12/12/2013