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researcher

Koji Miyawaki

3 papers hereh-index 571 citations33 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.ME3

identity via Semantic Scholar / OpenAlex

most citedEconomic variable selection

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

stat.ME2022

Superset model problem

Koji Miyawaki, Steven N. MacEachern

This paper focuses on the superset model problem that arises in the context of regression. To address this problem, we take the Bayesian approach to measure its uncertainty. An ill…

stat.ME2019

A regression approach to the two-dataset problem

Steven N. MacEachern, Koji Miyawaki

This paper considers the two-dataset problem, where data are collected from two potentially different populations sharing common aspects. This problem arises when data are collecte…

stat.ME2019★ 2 cited

Economic variable selection

Steven N. MacEachern, Koji Miyawaki

Regression plays a key role in many research areas and its variable selection is a classic and major problem. This study emphasizes cost of predictors to be purchased for future us…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.