Efficiently Representing Uncertainty as Probability Distributions
White Papers
Efficiently Representing Uncertainty as Probability Distributions
This paper discusses two means for efficiently representing uncertainty as probability distributions: Stochastic Information Packets (SIPs) and Stochastic Library Units with Relationship Preserved (SLURPs).
Tags In
Recent Posts
- Data’s Hotel California: Open Systems vs. Walled Gardens
- Lone Star Analysis Expands Office Space to Accommodate Continued Growth
- Lone Star Analysis Announces Norwegian Subsidiary, Lone Star Analysis AS
- Lone Star Analysis Vice President Laurie Cummins Announced as National Defense Industrial Association’s 2022 Awards Chairperson
- Lone Star Analysis Secures Direct to Phase II Small Business Innovation Research Contract