Probability & Statistical Inference · Statistical Inference & Estimation

Statistical Inference - Maximum Likelihood

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction introduction introduction Statistical Inference

Overview

Topics covered

  • Introduction
  • Maximum Likelihood
  • Statistical Estimation Problem
  • Quality Criteria of an Estimator
  • The Likelihood Function
  • Log-Likelihood

Related concepts

Main connections

  • Maximum likelihood estimation
  • Variance & standard deviation
  • Calculus & differentiation
  • Linear algebra & matrices
  • Mathematical optimization & gradients
  • Logistic regression

Compatible notation

Mathematical sample in LaTeX

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

θ^n=T(X1,X2,…,Xn)
View LaTeX source\hat{\theta}_n = T(X_1, X_2, \ldots, X_n)