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Thinking about statistics: the philosophical foundations

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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.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

U 519.5 OTS t

Penerbit

New York : Routledge (Taylor & Francis Group)., 2023

Deskripsi Fisik

x, 193 p.: ill.; 23 cm

Bahasa

English

ISBN/ISSN

9781032326108

Klasifikasi

519.5

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

Statistics—Philosophy

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

URl Source

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