{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9720130","patent":{"patent_number":"US-9720130","title":"Guided bayesian experimental design","assignee":null,"inventors":[],"filing_date":"2013-11-18T00:00:00.000Z","publication_date":"2017-08-01T00:00:00.000Z","cpc_codes":["G06F"],"num_claims":13,"abstract":"A Bayesian methodology is described for designing experiments or surveys that are improved by utilizing available prior information to guide the design toward maximally reducing posterior uncertainties in the interpretation of the future experiment. Synthetic geophysical tomography examples are used to illustrate benefits of this approach."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Guided bayesian experimental design","description":"A Bayesian methodology is described for designing experiments or surveys that are improved by utilizing available prior information to guide the design toward maximally reducing posterior uncertaintie","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9720130","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9720130","citation_suggestion":"Patentable. \"Guided bayesian experimental design\" (US-9720130). https://patentable.app/patents/US-9720130","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9720130","json":"https://patentable.app/api/llm-context/US-9720130","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T04:08:19.145Z"}