Skip to main content
Ctrl+K
zfit 0.24.0 documentation - Home zfit 0.24.0 documentation - Home
  • What’s new?
  • Getting started
  • Tutorials
  • API reference
  • Project
    • Ask a question
  • GitHub
  • What’s new?
  • Getting started
  • Tutorials
  • API reference
  • Project
  • Ask a question
  • GitHub

Section Navigation

  • Introduction tutorial
    • 5 minutes to zfit
    • Introduction to zfit
  • Components
    • Space, Observable and Range
    • Parameter
    • Data
    • Building a model
    • Kernel Density Estimation
    • Kernel Density Estimation
    • Composite Models
    • Creating your own pdf
    • Multidimensional PDFs
    • Loss
    • Minimization
    • Result
    • Toy studies and inference
  • Statistics with zfit
  • Applied Guides
    • Combining measurements
    • Custom models
  • Tutorials
  • Components

Components#

This tutorial describes the main components of zfit in more depths. For a brief overview, see also

zfit general#

Variables#

  • Space, Observable and Range
  • Parameter

Data#

  • Data

Model#

  • Building a model
  • Kernel Density Estimation
  • Kernel Density Estimation
  • Large sample KDE

The following tutorials can also be found in zfit tutorials as Jupyter Notebooks.

  • Composite Models
  • Creating your own pdf
  • Multidimensional PDFs

Loss#

  • Loss

Minimizer#

  • Minimization

Result#

  • Result

Statistical Inference#

  • Toy studies and inference

previous

Tutorials

next

Space, Observable and Range

On this page
  • zfit general
  • Variables
  • Data
  • Model
  • Loss
  • Minimizer
  • Result
  • Statistical Inference
Edit on GitHub
Show Source

© Copyright 2024, zfit.

Created using Sphinx 8.1.3.

Built with the PyData Sphinx Theme 0.16.0.