4 citations · 4 across the 1 of their papers we have counts for
2 papers
stat.ML2021★ 4 cited
Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference
Ryota Sugiyama, Hiroki Toda, Vo Nguyen Le Duy +2
In this paper, we study statistical inference of change-points (CPs) in multi-dimensional sequence. In CP detection from a multi-dimensional sequence, it is often desirable not onl…
stat.ML2020
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming
Vo Nguyen Le Duy, Hiroki Toda, Ryota Sugiyama +1
There is a vast body of literature related to methods for detecting changepoints (CP). However, less attention has been paid to assessing the statistical reliability of the detecte…