Psamples

Psamples is a term used across domains to denote one or more samples from a set, distribution, or process. It appears in both technical and educational contexts and is often used descriptively rather than as a formal concept with a single definition. The capitalization psamples or PSamples may indicate brand names, software modules, or dataset collections.

In statistics and data analysis, psamples usually refer to samples drawn from a probability distribution. These may be posterior samples in Bayesian inference, bootstrap samples for estimating sampling variability, or simulated data generated for method validation. The quality of conclusions depends on the sampling method, convergence diagnostics, and representativeness of the samples.

In computing and software documentation, psamples can denote a library, package, or dataset providing example inputs and outputs for testing algorithms or illustrating usage. Such collections help developers understand APIs, verify implementations, and benchmark performance.

Because psamples is not tied to a single standard meaning, users should consult the source material to determine what constitutes a psample in a given context. The term may signal a generic collection of data, a specific sample set, or a branded product.

See also: sampling (statistics), Monte Carlo methods, bootstrapping, posterior distribution, synthetic data.