Media Summary: Statistical inference using likelihood based methods is a key step in most HEP analyses. This talk will introduced general ... Likelihood fits and inference are an essential part of most analyses in HEP. While some Jonas Eschle and Matthieu Marinangeli talk us thorugh the use of the

Pythonic Model Fitting With Zfit - Detailed Analysis & Overview

Statistical inference using likelihood based methods is a key step in most HEP analyses. This talk will introduced general ... Likelihood fits and inference are an essential part of most analyses in HEP. While some Jonas Eschle and Matthieu Marinangeli talk us thorugh the use of the Jonas Eschle discusses the opportunities afforded by TensorFlow2 and how they will be used by

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Pythonic model fitting with zfit. zfit introduction. Tutorial 1
Pythonic model fitting with zfit. Introduction to zfit. Talk
Pythonic model fitting with zfit. zfit toy studies. Tutorial 4
Pythonic model fitting with zfit. zfit custom models. Tutorial 3
Pythonic model fitting with zfit. zfit constraints simultaneous. Tutorial 2
PyHEP 2021: zfit introduction, minimization and interoperability
General model fitting with zfit and hepstats - Jonas Eschle
Jonas Eschle - zfit: scalable pythonic likelihood fitting | SciPy 2025
General likelihood fitting with zfit and hepstats
PyHEP2022 zfit   binned fits and histograms
PyHEP 2020 zfit and hepstats tutorial
PyHEP 2020 TensorFlow2 and zfit
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Pythonic model fitting with zfit. zfit introduction. Tutorial 1

Pythonic model fitting with zfit. zfit introduction. Tutorial 1

Jonas Eschle, University of Zurich - https://github.com/

Pythonic model fitting with zfit. Introduction to zfit. Talk

Pythonic model fitting with zfit. Introduction to zfit. Talk

Jonas Eschle, University of Zurich - https://github.com/

Pythonic model fitting with zfit. zfit toy studies. Tutorial 4

Pythonic model fitting with zfit. zfit toy studies. Tutorial 4

Jonas Eschle, University of Zurich - https://github.com/

Pythonic model fitting with zfit. zfit custom models. Tutorial 3

Pythonic model fitting with zfit. zfit custom models. Tutorial 3

Jonas Eschle, University of Zurich - https://github.com/

Pythonic model fitting with zfit. zfit constraints simultaneous. Tutorial 2

Pythonic model fitting with zfit. zfit constraints simultaneous. Tutorial 2

Jonas Eschle, University of Zurich - https://github.com/

PyHEP 2021: zfit introduction, minimization and interoperability

PyHEP 2021: zfit introduction, minimization and interoperability

zfit

General model fitting with zfit and hepstats - Jonas Eschle

General model fitting with zfit and hepstats - Jonas Eschle

Statistical inference using likelihood based methods is a key step in most HEP analyses. This talk will introduced general ...

Jonas Eschle - zfit: scalable pythonic likelihood fitting | SciPy 2025

Jonas Eschle - zfit: scalable pythonic likelihood fitting | SciPy 2025

This talk presents

General likelihood fitting with zfit and hepstats

General likelihood fitting with zfit and hepstats

Likelihood fits and inference are an essential part of most analyses in HEP. While some

PyHEP2022 zfit   binned fits and histograms

PyHEP2022 zfit binned fits and histograms

zfit

PyHEP 2020 zfit and hepstats tutorial

PyHEP 2020 zfit and hepstats tutorial

Jonas Eschle and Matthieu Marinangeli talk us thorugh the use of the

PyHEP 2020 TensorFlow2 and zfit

PyHEP 2020 TensorFlow2 and zfit

Jonas Eschle discusses the opportunities afforded by TensorFlow2 and how they will be used by

2015-12-14   "LMFIT: A Python tool for model fitting", by Alireza Hojjati

2015-12-14 "LMFIT: A Python tool for model fitting", by Alireza Hojjati

... want to