Think Bayes

Think Bayes


If you know the way to software with Python and in addition understand a bit approximately likelihood, you’re able to take on Bayesian information. With this publication, you will methods to remedy statistical issues of Python code rather than mathematical notation, and use discrete likelihood distributions rather than non-stop arithmetic. when you get the mathematics out of how, the Bayesian basics turns into clearer, and you’ll start to follow those innovations to real-world problems.

Bayesian statistical equipment have gotten extra universal and extra vital, yet no longer many assets can be found to assist newcomers. in line with undergraduate periods taught via writer Allen Downey, this book’s computational process is helping you get a high-quality start.

  • Use your current programming talents to benefit and comprehend Bayesian statistics
  • Work with difficulties regarding estimation, prediction, choice research, facts, and speculation testing
  • Get all started with basic examples, utilizing cash, M&Ms, Dungeons & Dragons cube, paintball, and hockey
  • Learn computational tools for fixing real-world difficulties, corresponding to analyzing SAT ratings, simulating kidney tumors, and modeling the human microbiome.

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