No Fluff, Just Stats 1

<p>No Fluff, Just Stats 1</p>
<h1 id="no-fluff-just-stats-1">No Fluff, Just Stats 1</h1>

<p><img src="stat_eng_1.jpeg" alt="Profile Picture" /></p>

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<p>In the end, it seems that everything in statistics leads back to Bayes theorem. Bayes theorem is a method for calculating the probability or probability distribution of a cause given an observed result. In this world, everything proceeds from cause to result, and our perception also follows that natural direction. So, analyzing causes based on observed results does not feel intuitive.</p>

<p>However, by using Bayes theorem—leveraging both the statistical properties of causes and the probabilistic nature of the causal relationship from cause to result—we can tackle this unintuitive problem. The world seems to be full of results, while the causes often remain matters of speculation. For instance, we try to infer people’s mental states from their behaviors, or we use the past to predict the present and the future.</p>

<p>In more complex domains, we estimate chromosomal abnormalities from gene expression data or infer the existence of subatomic particles from particle physics experiments. This book introduces probability, inference, and statistical reasoning through a concise and direct approach.</p>

<p>Getting Started
Chapter 1
Chapter 1-1
Chapter 2
Chapter 3
Chapter 3-1
Chapter 4
Chapter 5
Chapter 5-1
Chapter 6
Chapter 7
Chapter 8
Chapter 9
Chapter 10
Copyright Page</p>

<p>저자 | Jeongbin Park
출판사 | 이즈그리민(izgrimean)
발행일 | 2025.08.26
가격 | 4,950원
파일 정보 | ePUB (4.17MB) | 약 7.3만 자
ISBN | 9791198883964
#과학 #수학 #통계학 #Statistics</p>