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Introduction to Statistical Decision Theory PDF | Bacci & Chiandotto
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Introduction to Statistical Decision Theory PDF | Bacci & Chiandotto

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📐 Introduction to Statistical Decision Theory PDF

By Silvia Bacci & Bruno Chiandotto
Utility theory and causal analysis for informed decision-making

✔ Statistical Theory  |  ✔ Decision Science  |  ✔ Instant PDF Download

🎯 Decision-Making Under Uncertainty

Formal frameworks for optimal statistical decisions.

⚡ Instant Access

Download and start studying immediately.

🔍 Searchable PDF

Quickly locate definitions, theorems, and models.

About This Book

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis by Silvia Bacci and Bruno Chiandotto provides a rigorous introduction to statistical decision-making, combining classical decision theory with modern approaches to causality and utility.

Published by CRC Press, this book is designed for advanced undergraduate and graduate students seeking a solid theoretical foundation in decision science and statistical inference.

What You Will Learn

  • 🧠 Foundations of statistical decision theory
  • 🎯 Utility functions and optimal decision rules
  • 📊 Bayesian and frequentist decision frameworks
  • 🔗 Causal analysis and decision-making
  • 🎓 Formal reasoning under uncertainty

Key Topics Covered

  • ✔ Loss functions and risk minimization
  • ✔ Bayesian decision theory
  • ✔ Utility theory and preference modeling
  • ✔ Causal inference and graphical models
  • ✔ Decision-making under uncertainty

Why the PDF Edition Is Ideal

  • 💻 Access on laptop, tablet, or desktop
  • 🖍 Annotate proofs, models, and definitions
  • 🔍 Search equations and concepts instantly
  • ⚡ Ideal for coursework, research, and exam prep

Who This Book Is For

  • Graduate students in statistics and data science
  • Students of decision theory and econometrics
  • Researchers in causal inference
  • Professionals in quantitative decision-making

Frequently Asked Questions

Is this an advanced-level book?
Yes. It is intended for advanced undergraduate and graduate-level readers.

Does it cover causal inference?
Yes. Causal analysis is a core component of the book.

Is the approach theoretical or applied?
It is primarily theoretical, with structured examples and models.

How do I receive the PDF?
Instant download access is provided after purchase.

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