Programming & Scientific Computing · Statistical & Parallel Computing

Statistical computing — Advanced reference

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Introduction # Scientific Statistical Programming

Overview

Topics covered

  • Introduction
  • Statistical Computing and Internals
  • Introduction: The Nature of Statistical Computing
  • Pillars of a Modern Statistical Environment
  • Numerical Representation and Computational Arithmetic
  • 2.1 The IEEE 754 Floating Point Standard

Related concepts

Main connections

  • Linear algebra & matrices
  • Bayes' theorem & priors
  • Regularization (Lasso / Ridge / Elastic Net)
  • Maximum likelihood estimation
  • Variance & standard deviation
  • Markov chain Monte Carlo (MCMC)

Compatible notation

Mathematical sample in LaTeX

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

x=(−1)s×(1⋅m)×2e−b
View LaTeX sourcex = (-1)^s \times (1 \cdot m) \times 2^{e - b}