◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jon Lachmann

4 papers hereh-index 214 citations5 works total

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

author position
  • first author2
  • middle author2

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

fields
  • stat.ME2
  • cs.LG1
  • stat.CO1

identity via Semantic Scholar / OpenAlex

activity
20222025
most citedshapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python

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

collaborators
Showing 2022Show all

1 paper · 1 filter

stat.ME2022

A subsampling approach for Bayesian model selection

Jon Lachmann, Geir Storvik, Florian Frommlet +1

It is common practice to use Laplace approximations to compute marginal likelihoods in Bayesian versions of generalised linear models (GLM). Marginal likelihoods combined with mode…

◍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.