BookShared
  • MEMBER AREA    
  • Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Chapman & Hall/CRC Texts in Statistical Science)

    (By Richard McElreath)

    Book Cover Watermark PDF Icon Read Ebook
    ×
    Size 26 MB (26,085 KB)
    Format PDF
    Downloaded 654 times
    Last checked 13 Hour ago!
    Author Richard McElreath
    “Book Descriptions: We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Worthy: Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Chapman & Hall/CRC Texts in Statistical Science). To get started finding Worthy: Statistical Rethinking: A Bayesian Course with Examples in R and Stan (Chapman & Hall/CRC Texts in Statistical Science), you are right to find our website which has a comprehensive collection of manuals listed.
    Our library is the biggest of these that have literally hundreds of thousands of different products represented.”

    Google Drive Logo DRIVE
    Book 1

    An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

    ★★★★★

    Gareth James

    Book 1

    Regression and Other Stories (Analytical Methods for Social Research)

    ★★★★★

    Andrew Gelman

    Book 1

    Infinite Powers: How Calculus Reveals the Secrets of the Universe

    ★★★★★

    Steven H. Strogatz

    Book 1

    The Book of Why: The New Science of Cause and Effect

    ★★★★★

    Judea Pearl

    Book 1

    Forecasting: principles and practice

    ★★★★★

    Rob J. Hyndman

    Book 1

    Nexus: A Brief History of Information Networks from the Stone Age to AI

    ★★★★★

    Yuval Noah Harari

    Book 1

    The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

    ★★★★★

    Pedro Domingos

    Book 1

    Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data and Analytics)

    ★★★★★

    Cameron Davidson-Pilon

    Book 1

    Causal Inference: What If

    ★★★★★

    Miguel Angel Hernán

    Book 1

    AI Superpowers: China, Silicon Valley, and the New World Order

    ★★★★★

    Kai-Fu Lee

    Book 1

    Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

    ★★★★★

    Cathy O'Neil

    Book 1

    Helgoland: Making Sense of the Quantum Revolution

    ★★★★★

    Carlo Rovelli

    Book 1

    The Joy of X: A Guided Tour of Math, from One to Infinity

    ★★★★★

    Steven H. Strogatz