Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
 
Bayes Factors for Forensic Decision Analyses with R
🌠 Top Free Unix/Linux Books - 100% Free or Open Source!
  • Title: Bayes Factors for Forensic Decision Analyses with R
  • Author(s) Silvia Bozza, Franco Taroni, Alex Biedermann
  • Publisher: Springer; 1st ed. (November 1, 2022); eBook (Creative Commons Licensed)
  • License(s): CC BY 4.0
  • Hardcover/Paperback: 199 pages
  • eBook: PDF and ePub
  • Language: English
  • ISBN-10/ASIN: 3031098382
  • ISBN-13: 978-3031098383
  • Share This:  

Book Description

This book provides a self-contained introduction to computational Bayesian statistics using R programming language. With its primary focus on Bayes factors supported by data sets, this book features an operational perspective, practical relevance, and applicability―keeping theoretical and philosophical justifications limited.

About the Authors
  • N/A
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • Forensic Discovery (Dan Farmer, et al)

    This book covers both theory and hands-on practice of computer forensics, introducing a powerful approach that can often recover evidence considered lost forever. It covers everything from file systems, to memory and kernel hacks, to malware.

  • Natural Image Statistics in Digital Image Forensics (Siwei Lyu)

    This book provides the first general framework, based on universal statistical properties of natural images, of detecting tampering and authenticating digital images that has been successfully applied to three problems in digital image forensics.

  • O'Reilly® Think Bayes: Bayesian Statistics in Python

    If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics.

  • Bayesian Data Analysis (Andrew Gelman, et al.)

    This classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. It takes an applied approach to analysis using up-to-date Bayesian methods.

  • Bayesian Methods for Hackers: Probabilistic Programming

    This book illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, Matplotlib, through practical examples and computation - no advanced mathematics required.

  • Hands-On Programming with R: Functions and Simulations

    This book not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You’ll gain valuable programming skills and support your work as a data scientist at the same time.

  • R Programming for Data Science (Roger D. Peng)

    This book is about the fundamentals of R programming. Get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. You will have a solid foundation on data science toolbox.

  • Handbook of Digital Face Manipulation and Detection

    This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the both biometrics and media forensics fields.

  • Handbook of Forensic Science (FBI)

    This book seeks to familiarize the investigator with these techniques and to make known the capabilities and the limitations of the crime laboratory. It is a vital element in our criminal justice system.

  • Hacking Exposed Computer Forensics (Aaron Philipp, et al)

    This book explains how to construct a high-tech forensic lab, collect prosecutable evidence, discover e-mail and system file clues, track wireless activity, and recover obscured documents.

Book Categories
:
Other Categories
Resources and Links