{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/expert-elicitation-method-for-non-parametric","title":"Expert-elicitation method for non-parametric joint priors using normalizing flows","arxiv_id":"2411.15826","date":"2024-11-24","proceeding":null,"authors":["Florence Bockting","Stefan T. Radev","Paul-Christian Bürkner"],"abstract":"We propose an expert-elicitation method for learning non-parametric joint prior distributions using normalizing flows. Normalizing flows are a class of generative models that enable exact, single-step density evaluation and can capture complex density functions through specialized deep neural networks. Building on our previously introduced simulation-based framework, we adapt and extend the methodology to accommodate non-parametric joint priors. Our framework thus supports the development of elicitation methods for learning both parametric and non-parametric priors, as well as independent or joint priors for model parameters. To evaluate the performance of the proposed method, we perform four simulation studies and present an evaluation pipeline that incorporates diagnostics and additional evaluation tools to support decision-making at each stage of the elicitation process.","url_abs":"https://arxiv.org/abs/2411.15826v2","url_pdf":"https://arxiv.org/pdf/2411.15826v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"expert-elicitation-method-for-non-parametric","repo_url":"https://github.com/florence-bockting/prior_elicitation","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"decision-making","task_name":"Decision Making"}],"methods":[{"method_slug":"normalizing-flows","method_name":"Normalizing Flows"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2411.15826","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2411.15826"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/florence-bockting/prior_elicitation","reach":{"status":"ok","spdx":"Apache-2.0"}}],"summary":{"unverified":11},"by_repo_kind":{"official":{"samples":11,"ran":0,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"85cf47bddde24356","entry":"calc_slope","repo":"florence-bockting/prior_elicitation","repo_kind":"official","path":"manuscript_non_parametric_joint_prior/functions/convergence_diagnostics.py","file_url":"https://github.com/florence-bockting/prior_elicitation/blob/HEAD/manuscript_non_parametric_joint_prior/functions/convergence_diagnostics.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"85cf47bddde24356"}},{"code_sha256_prefix":"2300fc91c9cb5fee","entry":"cor","repo":"florence-bockting/prior_elicitation","repo_kind":"official","path":"manuscript_non_parametric_joint_prior/functions/sensitivity_func.py","file_url":"https://github.com/florence-bockting/prior_elicitation/blob/HEAD/manuscript_non_parametric_joint_prior/functions/sensitivity_func.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"2300fc91c9cb5fee"}},{"code_sha256_prefix":"6edff208cbeaf12f","entry":"min_sec","repo":"florence-bockting/prior_elicitation","repo_kind":"official","path":"manuscript_non_parametric_joint_prior/functions/compute_training_time.py","file_url":"https://github.com/florence-bockting/prior_elicitation/blob/HEAD/manuscript_non_parametric_joint_prior/functions/compute_training_time.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"6edff208cbeaf12f"}},{"code_sha256_prefix":"d35a98133eb0df14","entry":"plot_sensitivity_binom","repo":"florence-bockting/prior_elicitation","repo_kind":"official","path":"manuscript_non_parametric_joint_prior/functions/independent_binomial_prior_checks.py","file_url":"https://github.com/florence-bockting/prior_elicitation/blob/HEAD/manuscript_non_parametric_joint_prior/functions/independent_binomial_prior_checks.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"d35a98133eb0df14"}},{"code_sha256_prefix":"d56fb190d5111e4e","entry":"prep_sensitivity_res","repo":"florence-bockting/prior_elicitation","repo_kind":"official","path":"manuscript_non_parametric_joint_prior/functions/correlated_normal_prior_checks.py","file_url":"https://github.com/florence-bockting/prior_elicitation/blob/HEAD/manuscript_non_parametric_joint_prior/functions/correlated_normal_prior_checks.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"d56fb190d5111e4e"}},{"code_sha256_prefix":"e921fa25b0c0703b","entry":"prep_sensitivity_res","repo":"florence-bockting/prior_elicitation","repo_kind":"official","path":"manuscript_non_parametric_joint_prior/functions/independent_binomial_prior_checks.py","file_url":"https://github.com/florence-bockting/prior_elicitation/blob/HEAD/manuscript_non_parametric_joint_prior/functions/independent_binomial_prior_checks.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"e921fa25b0c0703b"}},{"code_sha256_prefix":"4af02bda89b8f1f4","entry":"prep_sensitivity_res","repo":"florence-bockting/prior_elicitation","repo_kind":"official","path":"manuscript_non_parametric_joint_prior/functions/independent_normal_prior_checks.py","file_url":"https://github.com/florence-bockting/prior_elicitation/blob/HEAD/manuscript_non_parametric_joint_prior/functions/independent_normal_prior_checks.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"4af02bda89b8f1f4"}},{"code_sha256_prefix":"0061acdcde6352da","entry":"prep_sim_res","repo":"florence-bockting/prior_elicitation","repo_kind":"official","path":"manuscript_non_parametric_joint_prior/functions/preprocess_sim_res_norm.py","file_url":"https://github.com/florence-bockting/prior_elicitation/blob/HEAD/manuscript_non_parametric_joint_prior/functions/preprocess_sim_res_norm.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"0061acdcde6352da"}},{"code_sha256_prefix":"feca65a47f418679","entry":"prep_sim_res_binom","repo":"florence-bockting/prior_elicitation","repo_kind":"official","path":"manuscript_non_parametric_joint_prior/functions/preprocess_sim_res_binom.py","file_url":"https://github.com/florence-bockting/prior_elicitation/blob/HEAD/manuscript_non_parametric_joint_prior/functions/preprocess_sim_res_binom.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"feca65a47f418679"}},{"code_sha256_prefix":"94f4863a9c4d4a15","entry":"run_model_averaging","repo":"florence-bockting/prior_elicitation","repo_kind":"official","path":"manuscript_non_parametric_joint_prior/functions/binomial_model_averaging.py","file_url":"https://github.com/florence-bockting/prior_elicitation/blob/HEAD/manuscript_non_parametric_joint_prior/functions/binomial_model_averaging.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"94f4863a9c4d4a15"}},{"code_sha256_prefix":"e0da45c960ef4675","entry":"run_model_averaging","repo":"florence-bockting/prior_elicitation","repo_kind":"official","path":"manuscript_non_parametric_joint_prior/functions/scenarios_normal_model_averaging.py","file_url":"https://github.com/florence-bockting/prior_elicitation/blob/HEAD/manuscript_non_parametric_joint_prior/functions/scenarios_normal_model_averaging.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"e0da45c960ef4675"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}