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Bayesian Linear Regression
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171 b
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Bayesian Linear Regression Made Clear
If you've ever used regression software and wondered what the numbers really mean, this book is for you. Dale Mark Nesbitt breaks down Bayesian Linear Regression step-by-step, explaining the math and logic in a way that's both practical and easy to follow.
You'll learn how Bayesian methods extend classical regression, build probability models from data, incorporate your own judgment, and improve predictions. Perfect for serious learners, researchers, and analysts in statistics, economics, engineering, and data science.
Whether you work with Excel, R, or Python, this book equips you to confidently build and apply Bayesian Linear Regression models in your own work.
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