levels: discrete probabilities, probability density functions, and measure theory. Conditioning leads to a non-random result if the condition is completely...

interpretation of probability. The conditioning event is interpreted as evidence for the conditioned event. That is, P(A) is the probability of A before accounting...

conditioning, air conditioning in a vehicle Ice storage air conditioning, air conditioning using ice storage Solar air conditioning, air conditioning...

In probability theory, the law (or formula) of total probability is a fundamental rule relating marginal probabilities to conditional probabilities. It...

In probability theory, regular conditional probability is a concept that formalizes the notion of conditioning on the outcome of a random variable. The...

lemma Wick product Conditioning (probability) Conditional expectation Conditional probability distribution Regular conditional probability Disintegration...

In probability theory and statistics, the conditional probability distribution is a probability distribution that describes the probability of an outcome...

gives a mathematical rule for inverting conditional probabilities, allowing us to find the probability of a cause given its effect. For example, if the risk...

Independence (probability theory) The Borel–Cantelli lemmas and Kolmogorov's zero–one law Conditional probability Conditioning (probability) Conditional...

Y = y ) = 0 {\displaystyle P(Y=y)=0} . Conditioning on a discrete random variable is the same as conditioning on the corresponding event: E ⁡ ( X ∣ Y...

Bayesian probability (/ˈbeɪziən/ BAY-zee-ən or /ˈbeɪʒən/ BAY-zhən) is an interpretation of the concept of probability, in which, instead of frequency or...

Operant conditioning, also called instrumental conditioning, is a learning process where voluntary behaviors are modified by association with the addition...

Probability is the branch of mathematics concerning events and numerical descriptions of how likely they are to occur. The probability of an event is a...

Classical conditioning (also respondent conditioning and Pavlovian conditioning) is a behavioral procedure in which a biologically potent stimulus (e...

Independence is a fundamental notion in probability theory, as in statistics and the theory of stochastic processes. Two events are independent, statistically...

under radical probabilism and called it probability kinematics. Others have named it Jeffrey conditioning. Probability kinematics is not the only sufficient...

In probability theory and statistics, the empirical probability, relative frequency, or experimental probability of an event is the ratio of the number...

radical probabilism and the associated heuristic of probability kinematics, also known as Jeffrey conditioning. Born in Boston, Massachusetts, Jeffrey served...

probability and post-test probability (alternatively spelled pretest and posttest probability) are the probabilities of the presence of a condition (such...

diagnosis by epidemiology aims to estimate the probability of each candidate condition by comparing their probabilities to have occurred in the first place in...

In probability theory and statistics, the Poisson distribution (/ˈpwɑːsɒn/; French pronunciation: [pwasɔ̃]) is a discrete probability distribution that...

The posterior probability is a type of conditional probability that results from updating the prior probability with information summarized by the likelihood...

Inductive probability attempts to give the probability of future events based on past events. It is the basis for inductive reasoning, and gives the mathematical...

of information gives us this table of conditional probabilities for y: With more than one conditioning variable, the table would still have one row for...

In probability theory, a probability space or a probability triple ( Ω , F , P ) {\displaystyle (\Omega ,{\mathcal {F}},P)} is a mathematical construct...

A prior probability distribution of an uncertain quantity, often simply called the prior, is its assumed probability distribution before some evidence...

In probability theory, there exist several different notions of convergence of sequences of random variables, including convergence in probability, convergence...

In probability theory, a probability distribution is infinitely divisible if it can be expressed as the probability distribution of the sum of an arbitrary...

In probability theory, Lindeberg's condition is a sufficient condition (and under certain conditions also a necessary condition) for the central limit...

the probability of a positive test result, conditioned on the individual truly being positive. Specificity (true negative rate) is the probability of a...