Programming & Scientific Computing · Python & Data Science

Inference and Statistical Modeling with Python

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Introduction Advanced Scientific Computing

Overview

Topics covered

  • Introduction
  • Python for Inference and Statistical Modeling
  • The Python Scientific Ecosystem for Statistics
  • Scientific Stack Architecture
  • Patsy's Formulas and Design Matrices
  • Estimation of Parameters and Probability Distributions

Related concepts

Main connections

  • Variance & standard deviation
  • Maximum likelihood estimation
  • Poisson distribution
  • Bootstrap resampling
  • Survival analysis & Kaplan-Meier
  • Binomial distribution

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

𝐲=𝐗𝛃+𝛆
View LaTeX source\mathbf{y} = \mathbf{X}\boldsymbol{\beta} + \boldsymbol{\varepsilon}