Probabilistic modeling

{
  "id": "MLC-T-ENV-022205",
  "term": "Probabilistic modeling",
  "field": "Environment",
  "definition": "1. A technique that utilizes the entire range of input data to develop a probability distribution of exposure or risk rather than a single point value. The input data can be measured values and/or estimated distributions. Values for these input parameters are sampled thousands of times through a modeling or simulation process to develop a distribution of likely exposure or risk. Probabilistic models can be used to evaluate the impact of variability and uncertainty in the various input parameters, such as environmental exposure levels, fate and transport processes, etc.\n\n2. Stochastic modeling which estimates from past experience the likelihood of something occurring in the future",
  "subject": "Chemicals, toxics and pesticides",
  "references": [
    "Risk Assessment Glossary",
    "EPA EV-Research-Research Resources-Model & Simulation Tools"
  ],
  "url": "https://mlchart.com/terminology/environment/probabilistic-modeling/"
}