◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Musio

24 papers hereh-index 14818 citations81 works total

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

author position
  • first author2
  • middle author9
  • last author13

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • math.ST12
  • stat.ME8
  • cs.DL2
  • stat.AP2

identity via Semantic Scholar / OpenAlex

activity
20102025
most citedTheory and Applications of Proper Scoring Rules

114 citations · 302 across the 21 of their papers we have counts for

collaborators
Showing 2014 · math.STShow all

4 papers · 2 filters

math.ST2014★ 1 cited

Bounding the Probability of Causation in Mediation Analysis

A. P. Dawid, R. Murtas, M. Musio

Given empirical evidence for the dependence of an outcome variable on an exposure variable, we can typically only provide bounds for the "probability of causation" in the case of a…

math.ST2014★ 32 cited

Bayesian Model Selection Based on Proper Scoring Rules

A. Philip Dawid, Monica Musio

Bayesian model selection with improper priors is not well-defined because of the dependence of the marginal likelihood on the arbitrary scaling constants of the within-model prior…

math.ST2014★ 63 cited

Minimum scoring rule inference

Philip Dawid, Monica Musio, Laura Ventura

Proper scoring rules are methods for encouraging honest assessment of probability distributions. Just like likelihood, a proper scoring rule can be applied to supply an unbiased es…

math.ST2014★ 114 cited

Theory and Applications of Proper Scoring Rules

A. Philip Dawid, Monica Musio

We give an overview of some uses of proper scoring rules in statistical inference, including frequentist estimation theory and Bayesian model selection with improper priors.

◍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.