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27 results for "Bayesian" — page 2 of 2

P_3_01 — Epistemology — How Do We Know What We Know?

Epistemology — the branch of philosophy concerned with the nature, sources, and limits of knowledge — is arguably the most foundational discipline for any research project that evaluates claims across time, culture, and

epistemology empiricism rationalism Kant Bayesian inference falsificationism

P_3_05 Philosophy & Meaning

P_3_05 — Philosophy of Science — Demarcation, Method, and Progress

The philosophy of science investigates the foundations, methods, and implications of science — asking what distinguishes science from non-science (the demarcation problem), how scientific theories are confirmed or refute

philosophy of science Popper falsificationism Kuhn paradigm shift Lakatos

P_5_02 Philosophy & Meaning

P_5_02 — Computational Phylogenetics of Mythology

This document examines Computational Phylogenetics of Mythology, a topic within the Philosophy Meaning research area. Key areas of investigation include The Traditional Approach: Comparative Mythology, The Biological Ana

phylogenetics mythology Yuri Berezkin Julien d'Huy Michael Witzel Laurasian

R_3_09 Biology & Evolution

R_3_09 — Molecular Phylogenetics and Tree of Life

Molecular phylogenetics — reconstructing evolutionary relationships from DNA, RNA, and protein sequences — has revolutionized our understanding of the tree of life since Carl Woese's landmark 1977 discovery, using small-

phylogenetics molecular clock tree of life cladistics maximum likelihood Bayesian

F_3_17 Credible Lost Connections

F_3_17 — Megalithic Diffusion Debate: Atlantic Façade Connections

The megalithic diffusion debate is one of archaeology's longest-running controversies: did the remarkable concentrations of megalithic monuments (dolmens, passage tombs, standing stones, stone circles, alignments, and ch

megalith diffusion Atlantic façade standing stone dolmen passage tomb

V_3_12 Mathematics & Information

V_3_12 — Statistics and Hypothesis Testing

Statistics — the science of collecting, analyzing, and interpreting data under uncertainty — underpins virtually every empirical science, from medicine and psychology to physics and economics. Modern statistical hypothes

statistics hypothesis testing p-value significance confidence interval null hypothesis

V_3_01 Mathematics & Information

V_3_01 — Statistics & Probability: Pascal to Bayes

Probability and statistics — the mathematics of uncertainty — emerged as formal disciplines from the Pascal-Fermat correspondence (1654) on the "problem of points" (how to divide stakes in an interrupted game of chance),

statistics probability Pascal Fermat Bayes Bernoulli

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