Bayesian statistics

theorem describing the probability of an event based on prior knowledge of conditions that might be related to the event

form of logical inference that seeks the best conclusion that explains a set of given observations

interpretation of probability as a measure of the degree of belief of an individual assessing the uncertainty of a particular situation

Subjectivism is the doctrine that "our own mental activity is the only unquestionable fact of our experience", instead of shared or communal, and that there is no external or objective truth.

joint probability evaluated at a sample

statistics theory that uses Bayes’ theorem to compute and update probabilities after obtaining new data

classification algorithm

statistic quantifying the association between two events

conditional probability distribution used in Bayesian statistics

probability distribution that would express one's uncertainty before some evidence is taken into account

probabilistic model for which a graph expresses the conditional dependence structure between random variables

game in which information about characteristics of the other players is incomplete

deep learning generative model to encode data representation

technique for updating numerical model with observed data

estimating the maximum of a discrete uniform distribution from sampling without replacement, historically from predicting German tank production based on ascending serial numbers in tanks lost in combat

principle in Bayesian statistics

concept in probability theory

thumb|Each point in the Bloch sphere|Bloch ball is a possible quantum state for a [[qubit. In QBism, all quantum states are representations of personal probabilities.]] In physics and the philosophy of physics, QBism (pronounced "cubism") is an interpretation of quantum mechanics that takes an agent's actions and experiences as the central concerns of the theory. It is the most prominent and extreme form of quantum Bayesianism, a collection of related approaches that all involve interpreting quantum probabilities as Bayesian in some manner. QBism deals with common questions in the interpretati

rule in probability

theorem that exchangeable observations are conditionally independent relative to some latent variable

reasoning about degrees of belief using Bayesian inference

non-informative prior distribution for a parameter space

term in statistical analysis used to refer to a window function

area of research

parameter of a prior distribution in Bayesian statistics

mathematical methods used in Bayesian inference and machine learning

Method for finding lost objects

explaining the brain's abilities through statistical principles

diagnostic statistic used in Bayesian model selection

transmission of an infectious agent between host organisms of two different species that may lead to a new outbreak

mathematical concept

in Bayesian probability theory, a likelihood function that has been integrated over the parameter space

Jurimetrics is the application of quantitative methods, especially probability and statistics, to law. In the United States, the journal Jurimetrics is published by the American Bar Association and Arizona State University. The Journal of Empirical Legal Studies is another publication that emphasizes the statistical analysis of law.

theorem in game theory about whether rational agents can agree to disagree

error rate of the Bayes classifier

test used in the analysis of stratified or matched categorical data

classification algorithm

in Bayesian statistics, the distribution of a new data point marginalized over the posterior

modeling tool for assigning probabilities to events