---
title: "Jun Otsuka Thinking About Statistics"
ean: "9781032326108"
brand: "Jun Otsuka"
category: "Medier > Bøger"
price_min: 384
price_max: 384
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9781032326108/thinking-about-statistics
last_checked: 2026-10-14
---

# Jun Otsuka Thinking About Statistics

EAN 9781032326108 · Mærke: Jun Otsuka · Kategori: Medier > Bøger

Sammenlign priser på Jun Otsuka Thinking About Statistics fra 1 forhandler. Billigste pris nu: 384 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9781032326108/thinking-about-statistics

## Priser
- **Billigste pris nu:** 384 kr hos Saxo DK
- **Prisspænd:** 384 kr – 384 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 384 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> Simply stated, this book bridges the gap between statistics and philosophy. It does this by delineating the conceptual cores of various statistical methodologies (Bayesian/frequentist statistics, model selection, machine learning, causal inference, etc.) and drawing out their philosophical implications. Portraying statistical inference as an epistemic endeavor to justify hypotheses about a probabilistic model of a given empirical problem, the book explains the role of ontological, semantic, and epistemological assumptions that make such inductive inference possible. From this perspective, various statistical methodologies are characterized by their epistemological nature: Bayesian statistics by internalist epistemology, classical statistics by externalist epistemology, model selection by pragmatist epistemology, and deep learning by virtue epistemology. Another highlight of the book is its analysis of the ontological assumptions that underpin statistical reasoning, such as the uniformity of nature, natural kinds, real patterns, possible worlds, causal structures, etc. Moreover, recent developments in deep learning indicate that machines are carving out their own "ontology" (representations) from data, and better understanding this—a key objective of the book—is crucial for improving these machines’ performance and intelligibility. Key Features Without assuming any prior knowledge of statistics, discusses philosophical aspects of traditional as well as cutting-edge statistical methodologies. Draws parallels between various methods of statistics and philosophical epistemology, revealing previously ignored connections between the two disciplines. Written for students, researchers, and professionals in a wide range of fields, including philosophy, biology, medicine, statistics and other social sciences, and business. Originally published in Japanese with widespread success, has been translated into English by the author.

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Priserne er sidst kontrolleret 2026-10-14.