Reasoning with Data: An Introduction to Traditional and Bayesian Methods using R

Reasoning with data : an introduction to

📁 Reasoning with data : an introduction to traditional and Bayesian statistics using R

✍ Stanton, Jeffrey M. 📂 Library 📅 2017 🏛 The Guilford Press 🌐 English

Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both cla

Reasoning with Data: An Introduction to

📁 Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R

✍ Jeffrey M. Stanton 📂 Library 📅 2017 🏛 The Guilford Press 🌐 English

Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both class

Machine Learning and Data Science: An In

📁 Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R

✍ Daniel D. Gutierrez [Daniel D. Gutierrez] 📂 Library 📅 2015 🏛 Technics Publications 🌐 English

A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised machine learning

Probabilistic Methods for Bioinformatics

📁 Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks

✍ Richard E. Neapolitan 📂 Library 📅 2009 🏛 Morgan Kaufmann 🌐 English

This book really helps in bridging formalism to understanding by providing lots of examples and walking through the examples. It's a pleasure to read. One can skim what seems basic. But if something is not clear, one can work through a few examples. It's strength is pedagogical.

An Introduction to Bayesian Analysis: Th

📁 An Introduction to Bayesian Analysis: Theory and Methods

✍ Jayanta K. Ghosh, Mohan Delampady, Tapas Samanta 📂 Library 📅 2006 🏛 Springer 🌐 English

This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory, methods, and applications. Starting from basic statistics, undergraduate calculus and linear algebra, ideas of both subjective and objective Bayesian analysis are developed to a level where real-life data can be

An Introduction to Bayesian Inference, M

📁 An Introduction to Bayesian Inference, Methods and Computation

✍ Nick Heard 📂 Library 📅 2021 🏛 Springer 🌐 English

<p>These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to adva