RESEARCH BASE
Search 3,721 documents across 34 fields — every claim tier-rated by evidence
3,633 are the core, quality-scored corpus (34 lettered sections — see How We Work); the remaining 88 are cross-corpus synthesis documents (68 InterDocs, 12 Connections, 8 Theories) also indexed here.
26 results for "posterior probability" — page 1 of 2
V_4_25 — Bayesian Inference: Probability as Rational Belief Updating
Bayesian inference — the mathematical framework for updating beliefs in light of evidence using Bayes' theorem — has become one of the most powerful and contested ideas in modern science. Named after Reverend Thomas Baye
G_2_03 — Bayesian Reasoning and Archaeological Inference
Bayesian reasoning — the systematic updating of probabilities for hypotheses as new evidence is acquired — has transformed archaeology, chronology, and the evaluation of disputed historical claims since the 1990s. At its
V_3_21 — Bayesian Statistics Revolution
Bayesian statistics — the framework for updating probability estimates as new evidence is acquired, grounded in Bayes' theorem — has undergone a dramatic resurgence since the late 20th century, transforming from a margin
E_4_25 — Bayesian Age Modeling: Statistical Frameworks for Archaeological Chronology
Bayesian age modeling — the application of Bayesian statistical inference to combine radiocarbon dates with prior archaeological knowledge (stratigraphy, typology, historical constraints) to produce refined chronological
V_4_27 — Bayesian Inference: Probabilistic Reasoning from Bayes to Machine Learning
Bayesian inference — the mathematical framework for updating beliefs in light of evidence — has become the dominant paradigm in statistics, machine learning, cognitive science, and philosophy of science. Named after Reve
V_4_03 — Geometric Probability and Buffon's Needle
Geometric probability assigns probabilities to random geometric events — needle drops, random points in regions, random lines intersecting figures — formalizing questions that blend chance with spatial structure. Buffon'
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),
V_3_14 — Stochastic Processes: Random Walks, Markov Chains, and Brownian Motion
Stochastic processes — mathematical models of systems evolving randomly over time — provide the essential framework for understanding phenomena where uncertainty is intrinsic: the jittery motion of pollen grains in water
U_3_11 — Board Games and Games of Strategy
Board games — structured games played on a marked surface (board) with pieces, dice, cards, or tokens according to defined rules — are among the oldest and most culturally revealing human artifacts. Ancient games: the Ro
K_1_03 — Free Energy Principle and Predictive Processing
The Free Energy Principle (FEP), developed by neuroscientist Karl Friston (2006-present), is one of the most ambitious theoretical frameworks in 21st-century science: it attempts to explain the EXISTENCE, BEHAVIOR, and C
K_1_06 — Predictive Processing and Consciousness
Predictive processing (PP) is a unifying framework in cognitive neuroscience proposing that the brain is fundamentally a prediction machine — it continuously generates top-down predictions of incoming sensory input and u
K_2_03 — Neural Correlates of Consciousness
The neural correlates of consciousness (NCC) are the minimal neuronal mechanisms jointly sufficient for any one specific conscious experience. The systematic search for NCCs was launched by Francis Crick and Christof Koc
K_2_11 — Default Mode Network: Brain at Rest and Self-Referential Consciousness
The Default Mode Network (DMN) is a large-scale brain network that is most active when a person is not focused on the external environment — during mind-wandering, daydreaming, self-referential thought, autobiographical
K_5_13 — Integrated World Models: Bayesian Brain and Consciousness
The Bayesian brain hypothesis proposes that the brain is fundamentally a prediction machine — it constructs and maintains internal generative models of the world (including the body), uses these models to generate predic
ZG_4_07 — Constructed Languages — Esperanto, Tolkien, and Beyond
Constructed languages (conlangs) are languages deliberately designed by individuals or groups rather than having evolved naturally — they range from international auxiliary languages (IALs) designed to facilitate cross-c
O_1_02 — Magnetosphere, Solar Activity, and Earth's Shield
Earth's magnetic field is an invisible shield that makes complex life on the surface possible — without it, solar wind would strip away the atmosphere and sterilize the planet, as happened to Mars ~3.8 billion years ago
ZD_1_13 — Kolmogorov Complexity and Algorithmic Information Theory
Kolmogorov complexity (also called algorithmic complexity, descriptive complexity, or program-size complexity) — the length of the shortest computer program (on a fixed universal Turing machine) that produces a given str
P_1_20 — Epistemology & Theory of Knowledge
Epistemology — the branch of philosophy concerned with the nature, sources, structure, and limits of knowledge — is one of the oldest and most persistent areas of philosophical inquiry. The central question "What can we
R_3_07 — Embryology and Morphogenesis: How Bodies Take Shape
Embryology — the study of how a single fertilized cell becomes a complex multicellular organism — is one of biology's most profound mysteries. From the discovery by Karl Ernst von Baer (1828) that embryos of different sp
ZA_1_06 — Quantum Tunneling: Traversing the Classically Forbidden
Quantum tunneling is the phenomenon where particles traverse energy barriers that classical physics strictly forbids — a direct consequence of quantum mechanics' wave-like description of matter. First explained by George
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