MLchartDataset catalogue

Bayesian inference

Term · Environment · MLC-T-ENV-002901

Inference is using data to learn about some uncertain quantity. Bayes’ theorem describes how to update a prior distribution about the uncertain quantity using a model (expressing likelihood of observed data) to obtain a posterior distribution. Bayesian inference allows incorporation of prior beliefs and can handle problems with insufficient data for frequentist inference. (FAO/WHO 2003b)

Table 1. Record
IdentifierMLC-T-ENV-002901
FieldEnvironment
ReferencesThesaurus of Terms Used in Microbial Risk Assessment
Record as JSON 
{
  "id": "MLC-T-ENV-002901",
  "term": "Bayesian inference",
  "field": "Environment",
  "definition": "Inference is using data to learn about some uncertain quantity. Bayes’ theorem describes how to update a prior distribution about the uncertain quantity using a model (expressing likelihood of observed data) to obtain a posterior distribution. Bayesian inference allows incorporation of prior beliefs and can handle problems with insufficient data for frequentist inference. (FAO/WHO 2003b)",
  "references": [
    "Thesaurus of Terms Used in Microbial Risk Assessment"
  ],
  "url": "https://mlchart.com/terminology/environment/bayesian-inference/"
}

Record 2,901 of 30,736 in Environment terminology (MLC-0121). Request the full dataset.