{"query_echo":{"q":"","filters":{"analysis_type":["stochastic analysis"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'stochastic analysis' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":1,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=stochastic+analysis","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"sei-000685","url":"https://climateinsightsdirectory.org/document/sei-000685","title":"Uncertainty analysis in multi-region input-output models: a case study of the UK's carbon footprint","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2010-08-06","source_url":"https://www.sei.org/publications/uncertainty-analysis-multi-region-input-output-models-case-study-uks-carbon-footprint/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The research employs Monte Carlo techniques and error propagation to analyze stochastic variation in a global MRIO model. Based on 5,000 simulation runs, the study estimates an 89% probability that the UK's carbon footprint increased between 1994 and 2004.","ai_generated":true,"unit":"sei-000685#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The study used Monte Carlo techniques with 5,000 simulation runs to determine the standard deviations of multipliers within a global MRIO system.","ai_generated":true,"unit":"sei-000685#insight-1","date_modified":"2026-10-23"},{"text":"There is an estimated 89% probability that the carbon footprint of the UK increased during the period from 1994 to 2004.","ai_generated":true,"unit":"sei-000685#insight-2","date_modified":"2026-10-23"}],"climate_tags":["carbon footprint"],"geography_discussed":["World"],"frame_perspective":[],"analysis_type":["stochastic analysis","case study"]}]}