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researcher

Ryan Martin

74 papers hereh-index 302.7k citations142 works total

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

author position
  • sole author13
  • first author25
  • middle author9
  • last author27

Across the 74 of 74 papers where every author was matched, so the position is known.

fields
  • math.ST39
  • stat.ME28
  • stat.CO3
  • stat.OT2
  • cs.LG1
  • stat.ML1
same name
  • Ryan Martin — 10 papers, h 7
  • Ryan Martin — 6 papers, h 2
  • Ryan Martin — 6 papers, h 2
  • Ryan Martin — 4 papers, h 3
  • Ryan Martin — 3 papers, h 4
  • Ryan Martin — 3 papers, h 1

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
20092022
most citedInferential models: A framework for prior-free posterior probabilistic inference

168 citations · 1.5k across the 73 of their papers we have counts for

collaborators
Showing 2015 · stat.MEShow all

4 papers · 2 filters

stat.ME2015★ 31 cited

On an inferential model construction using generalized associations

Ryan Martin

The inferential model (IM) approach, like fiducial and its generalizations, depends on a representation of the data-generating process. Here, a particular variation on the IM const…

stat.ME2015★ 91 cited

Calibrating general posterior credible regions

Nicholas Syring, Ryan Martin

An advantage of methods that base inference on a posterior distribution is that credible regions are readily obtained. Except in well-specified situations, however, there is no gua…

stat.ME2015★ 37 cited

On recursive Bayesian predictive distributions

P. Richard Hahn, Ryan Martin, Stephen G. Walker

A Bayesian framework is attractive in the context of prediction, but a fast recursive update of the predictive distribution has apparently been out of reach, in part because Monte…

stat.ME2015★ 22 cited

Gibbs posterior inference on the minimum clinically important difference

Nick Syring, Ryan Martin

IIt is known that a statistically significant treatment may not be clinically significant. A quantity that can be used to assess clinical significance is called the minimum clinica…

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