Evaluation of model fit and model selection in Bayesian statistics · Introduction

Introduction

What this guide covers

Introduction Introduction Advanced Bayesian Statistics · Epistemology and Predictive Inference

Overview

Related concepts

Compatible notation

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

\mathbb{P}(M_i \mid y) = \frac{p(y \mid M_i)\mathbb{P}(M_i)}{\sum_{j=1}^k p(y \mid M_j)\mathbb{P}(M_j)}.

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\mathbb{P}(M_i \mid y) = \frac{p(y \mid M_i)\mathbb{P}(M_i)}{\sum_{j=1}^k p(y \mid M_j)\mathbb{P}(M_j)}.