◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

J. M. Marín

3 papers hereh-index 10440 citations32 works total

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

author position
  • middle author3

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

fields
  • stat.ME2
  • stat.AP1
same name
  • J. M. Marín — 1 paper, h 6

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
20142016
most citedBayesian modeling of bacterial growth for multiple populations

12 citations · 15 across the 3 of their papers we have counts for

collaborators

3 papers

stat.ME2016★ 1 cited

Objective Bayesian modelling of insurance risks with the skewed Student-t distribution

Fabrizio Leisen, Juan Miguel Marin, Cristiano Villa

Insurance risks data typically exhibit skewed behaviour. In this paper, we propose a Bayesian approach to capture the main features of these datasets. This work extends the methodo…

stat.ME2015★ 2 cited

A Bootstrap Likelihood approach to Bayesian Computation

Weixuan Zhu, Juan Miguel Marin, Fabrizio Leisen

There is an increasing amount of literature focused on Bayesian computational methods to address problems with intractable likelihood. One approach is a set of algorithms known as…

stat.AP2014★ 12 cited

Bayesian modeling of bacterial growth for multiple populations

A. Paula Palacios, J. Miguel Marín, Emiliano J. Quinto +1

Bacterial growth models are commonly used for the prediction of microbial safety and the shelf life of perishable foods. Growth is affected by several environmental factors such as…

◍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.