◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

A. Suzuki

4 papers hereh-index 5100 citations21 works total

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

author position
  • sole author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME2
  • stat.AP1
  • stat.OT1
same name
  • A. Suzuki — 119 papers, h 60
  • A. Suzuki — 91 papers, h 41
  • A. Suzuki — 47 papers, h 9
  • A. Suzuki — 40 papers, h 15
  • A. Suzuki — 33 papers, h 17
  • A. Suzuki — 24 papers, h 31

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedUncertainty in Grid Data: A Theory and Comprehensive Robustness Test

2 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ME2022★ 2 cited

Uncertainty in Grid Data: A Theory and Comprehensive Robustness Test

Akisato Suzuki

This article makes two novel contributions to spatial political and conflict research using grid data. First, it develops a theory of how uncertainty specific to grid data affects…

stat.OT2021★ 1 cited

Which Type of Statistical Uncertainty Helps Evidence-Based Policymaking? An Insight from a Survey Experiment in Ireland

Akisato Suzuki

Which type of statistical uncertainty -- statistical (in)significance with a p-value, or a Bayesian probability -- enables people to see the continuous nature of uncertainty more c…

stat.ME2020

Policy Implications of Statistical Estimates: A General Bayesian Decision-Theoretic Model for Binary Outcomes

Akisato Suzuki

How should we evaluate the effect of a policy on the likelihood of an undesirable event, such as conflict? The significance test has three limitations. First, relying on statistica…

stat.AP2020★ 2 cited

Presenting the Probabilities of Different Effect Sizes: Towards a Better Understanding and Communication of Statistical Uncertainty

Akisato Suzuki

How should social scientists understand and communicate the uncertainty of statistically estimated causal effects? I propose we utilize the posterior distribution of a causal effec…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.