probability - Concepts

Explore concepts tagged with "probability"

Total concepts: 8

Concepts

Conjunction Fallacy - The formal fallacy of assuming that a conjunction of two events is more probable than either event alone.
Bayesian Decision Theory - A normative framework for making optimal decisions under uncertainty by combining prior beliefs with observed evidence through probability theory and utility functions.
Shannon Entropy - Information-theoretic measure of the average uncertainty or surprise carried by a random variable, quantified in bits.
Category Size Bias - The tendency to believe that outcomes belonging to a larger category are more likely than those in smaller categories.
KL Divergence - An asymmetric measure of how much one probability distribution differs from a reference distribution, foundational to information theory and modern machine learning.
Mutual Information - A measure of how much knowing one random variable reduces uncertainty about another, capturing the strength of any relationship — linear or not — between them.
Subadditivity Effect - The tendency to judge the probability of an event as less than the sum of its parts, or to estimate that the parts of a category are greater than the whole.
Statistical Distributions - Mathematical functions describing the probability of different outcomes, forming the foundation of statistical analysis and decision-making.