Computational biostatistics — descriptive and inferential analysis · Introduction

Introduction

What this guide covers

A rigorous and mathematical reference of inferential methods, advanced descriptive, survival and computational resampling algorithms for health sciences.

Overview

Topics covered

Introduction
Computational Biostatistics: Descriptive and Inferential Analysis
The Paradigm of Computational Biostatistics
Multidimensional Descriptive Analysis and Robust Metrics
2.1 M-Estimators and Robust Localization
2.2 Robust Measures of Dispersion and Scale

Related concepts

Main connections

Compatible notation

Mathematical sample in LaTeX

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

R_{\text{emp}}(\delta) = \frac{1}{n}\sum_{i=1}^n L(y_i, \delta(\mathbf{x}_i)) + \lambda \Omega(\delta)

View LaTeX source

R_{\text{emp}}(\delta) = \frac{1}{n}\sum_{i=1}^n L(y_i, \delta(\mathbf{x}_i)) + \lambda \Omega(\delta)