Dataset Tail Probability Classes, Risk Functionals, and Bayesian Updating in Machine Learning An Executive Summary for the ML Student or Curious Practitioner

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-14
DOI
https://doi.org/10.5281/zenodo.20175941
Primary Topic
Statistics Education and Methodologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dataset Tail Probability Classes, Risk Functionals, and Bayesian Updating in Machine Learning An Executive Summary for the ML Student or Curious Practitioner

Alfredo Sepulveda-Jimenez
Zenodo (CERN European Organization for Nuclear Research)
Statistics Education and Methodologies
article

Dataset Tail Probability Classes, Risk Functionals, and Bayesian Updating in Machine Learning An Executive Summary for the ML Student or Curious Practitioner

Alfredo Sepulveda-Jimenez
article en

Abstract

No abstract available for this paper.
Zenodo (CERN European Organization for Nuclear Research)
QED Labs (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Statistics Education and Methodologies
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.