research
∙
07/21/2023
Bounded P-values in Parametric Programming-based Selective Inference
Selective inference (SI) has been actively studied as a promising framew...
share
research
∙
01/06/2023
Valid P-Value for Deep Learning-Driven Salient Region
Various saliency map methods have been proposed to interpret and explain...
research
∙
02/14/2022
Exact Statistical Inference for Time Series Similarity using Dynamic Time Warping by Selective Inference
In this paper, we study statistical inference on the similarity/distance...
research
∙
10/18/2021
Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference
In this paper, we study statistical inference of change-points (CPs) in ...
research
∙
09/29/2021
Exact Statistical Inference for the Wasserstein Distance by Selective Inference
In this paper, we study statistical inference for the Wasserstein distan...
research
∙
06/09/2021
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model
Automated high-stake decision-making such as medical diagnosis requires ...
research
∙
05/11/2021
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming
Conditional selective inference (SI) has been studied intensively as a n...
research
∙
04/22/2021
Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation
In practical data analysis under noisy environment, it is common to firs...
research
∙
12/25/2020
More Powerful and General Selective Inference for Stepwise Feature Selection using the Homotopy Continuation Approach
Conditional Selective Inference (SI) has been actively studied as a new ...
research
∙
10/05/2020
Quantifying Statistical Significance of Neural Network Representation-Driven Hypotheses by Selective Inference
In the past few years, various approaches have been developed to explain...
research
∙
04/21/2020
Parametric Programming Approach for Powerful Lasso Selective Inference without Conditioning on Signs
In the past few years, Selective Inference (SI) has been actively studie...
research
∙
02/21/2020
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming
There is a vast body of literature related to methods for detecting chan...
research
∙
05/06/2019
