A confidence machine for sparse high‐order interaction model

Article Properties
  • Language
    English
  • DOI (url)
  • Publication Date
    2024/01/01
  • Journal
  • Indian UGC (journal)
  • Refrences
    55
  • Diptesh Das Department of Mechanical System Engineering Nagoya University Nagoya Japan ORCID (unauthenticated)
  • Eugene Ndiaye H. Milton Stewart School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta Georgia USA
  • Ichiro Takeuchi Department of Mechanical System Engineering Nagoya University Nagoya JapanData‐driven Biomedical Science Team RIKEN Center for Advanced Intelligence Project (AIP) Tokyo Japan
Abstract
Cite
Das, Diptesh, et al. “A Confidence Machine for Sparse high‐order Interaction Model”. Stat, vol. 13, no. 1, 2024, https://doi.org/10.1002/sta4.633.
Das, D., Ndiaye, E., & Takeuchi, I. (2024). A confidence machine for sparse high‐order interaction model. Stat, 13(1). https://doi.org/10.1002/sta4.633
Das, Diptesh, Eugene Ndiaye, and Ichiro Takeuchi. “A Confidence Machine for Sparse high‐order Interaction Model”. Stat 13, no. 1 (2024). https://doi.org/10.1002/sta4.633.
Das D, Ndiaye E, Takeuchi I. A confidence machine for sparse high‐order interaction model. Stat. 2024;13(1).
Refrences
Title Journal Journal Categories Citations Publication Date
Conformal prediction for text infilling and part‐of‐speech prediction 2022
Computing valid p‐value for optimal changepoint by selective inference using dynamic programming 2020
Learning certifiably optimal rule lists for categorical data Journal of Machine Learning Research
  • Technology: Mechanical engineering and machinery
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2018
How we analyzed the compas recidivism algorithm 2016
Distribution‐free prediction sets for two‐layer hierarchical models Journal of the American Statistical Association
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
2022