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Conditional Selective Inference for Robust Regression and Outlier
  Detection using Piecewise-Linear Homotopy Continuation

Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation

22 April 2021
Toshiaki Tsukurimichi
Yu Inatsu
Vo Nguyen Le Duy
Ichiro Takeuchi
ArXivPDFHTML

Papers citing "Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation"

14 / 14 papers shown
Title
Statistical Inference for Clustering-based Anomaly Detection
Statistical Inference for Clustering-based Anomaly Detection
Nguyen Thi Minh Phu
Duong Tan Loc
Vo Nguyen Le Duy
22
0
0
25 Apr 2025
Statistically Significant $k$NNAD by Selective Inference
Statistically Significant kkkNNAD by Selective Inference
Mizuki Niihori
Teruyuki Katsuoka
Tomohiro Shiraishi
Shuichi Nishino
Ichiro Takeuchi
80
1
0
18 Feb 2025
Controllable RANSAC-based Anomaly Detection via Hypothesis Testing
Controllable RANSAC-based Anomaly Detection via Hypothesis Testing
Le Hong Phong
Ho Ngoc Luat
Vo Nguyen Le Duy
21
1
0
19 Oct 2024
Statistical Test for Auto Feature Engineering by Selective Inference
Statistical Test for Auto Feature Engineering by Selective Inference
Tatsuya Matsukawa
Tomohiro Shiraishi
Shuichi Nishino
Teruyuki Katsuoka
Ichiro Takeuchi
TPM
24
0
0
13 Oct 2024
Leveraging Quadratic Polynomials in Python for Advanced Data Analysis
Leveraging Quadratic Polynomials in Python for Advanced Data Analysis
Rostyslav Sipakov
O. Voloshkina
Anastasiia Kovalova
11
1
0
09 Feb 2024
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by
  Statistical Inference
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference
Vo Nguyen Le Duy
Hsuan-Tien Lin
Ichiro Takeuchi
24
9
0
23 Oct 2023
Bounded P-values in Parametric Programming-based Selective Inference
Bounded P-values in Parametric Programming-based Selective Inference
Tomohiro Shiraishi
Daiki Miwa
Vo Nguyen Le Duy
Ichiro Takeuchi
17
3
0
21 Jul 2023
Valid P-Value for Deep Learning-Driven Salient Region
Valid P-Value for Deep Learning-Driven Salient Region
Daiki Miwa
Vo Nguyen Le Duy
I. Takeuchi
FAtt
AAML
11
13
0
06 Jan 2023
Statistical Inference for the Dynamic Time Warping Distance, with
  Application to Abnormal Time-Series Detection
Statistical Inference for the Dynamic Time Warping Distance, with Application to Abnormal Time-Series Detection
Vo Nguyen Le Duy
I. Takeuchi
20
2
0
14 Feb 2022
Valid and Exact Statistical Inference for Multi-dimensional Multiple
  Change-Points by Selective Inference
Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference
Ryota Sugiyama
Hiroki Toda
Vo Nguyen Le Duy
Yu Inatsu
Ichiro Takeuchi
9
12
0
18 Oct 2021
Exact Statistical Inference for the Wasserstein Distance by Selective
  Inference
Exact Statistical Inference for the Wasserstein Distance by Selective Inference
Vo Nguyen Le Duy
Ichiro Takeuchi
22
14
0
29 Sep 2021
More Powerful Conditional Selective Inference for Generalized Lasso by
  Parametric Programming
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming
Vo Nguyen Le Duy
Ichiro Takeuchi
13
33
0
11 May 2021
Quantifying Statistical Significance of Neural Network-based Image
  Segmentation by Selective Inference
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference
Vo Nguyen Le Duy
S. Iwazaki
Ichiro Takeuchi
9
17
0
05 Oct 2020
Confidence Sets Based on Penalized Maximum Likelihood Estimators in
  Gaussian Regression
Confidence Sets Based on Penalized Maximum Likelihood Estimators in Gaussian Regression
B. M. Potscher
U. Schneider
94
53
0
10 Jun 2008
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