{"id":9328,"date":"2025-12-24T07:03:30","date_gmt":"2025-12-24T07:03:30","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/12\/24\/2512-19746\/"},"modified":"2025-12-24T07:03:30","modified_gmt":"2025-12-24T07:03:30","slug":"2512-19746","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/12\/24\/2512-19746\/","title":{"rendered":"Robust Causal Directionality Inference in Quantum Inference under MNAR Observation and High-Dimensional Noise"},"content":{"rendered":"<p>    Robust Causal Directionality Inference in Quantum Inference under MNAR Observation and High-Dimensional Noise<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>arXiv:2512.19746v1 Announce Type: new<br \/>\nAbstract: In quantum mechanics, observation actively shapes the system, paralleling the statistical notion of Missing Not At Random (MNAR). This study introduces a unified framework for textbf{robust causal directionality inference} in quantum engineering, determining whether relations are system$to$observation, observation$to$system, or bidirectional.<br \/>\n  The method integrates CVAE-based latent constraints, MNAR-aware selection models, GEE-stabilized regression, penalized empirical likelihood, and Bayesian optimization. It jointly addresses quantum and classical noise while uncovering causal directionality, with theoretical guarantees for double robustness, perturbation stability, and oracle inequalities.<br \/>\n  Simulation and real-data analyses (TCGA gene expression, proteomics) show that the proposed MNAR-stabilized CVAE+GEE+AIPW+PEL framework achieves lower bias and variance, near-nominal coverage, and superior quantum-specific diagnostics. This establishes robust causal directionality inference as a key methodological advance for reliable quantum engineering.<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Joonsung Kang<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/arxiv.org\/abs\/2512.19746\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Robust Causal Directionality Inference in Quantum Inference under MNAR Observation and High-Dimensional Noise arXiv:2512.19746v1 Announce Type: new Abstract: In quantum mechanics, observation actively shapes the system, paralleling the statistical notion of Missing Not At Random (MNAR). This study introduces a unified framework for textbf{robust causal directionality inference} in quantum engineering, determining whether relations are system$to$observation, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,113,112],"tags":[331,193,1146],"class_list":["post-9328","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-cs-lg","category-stat-ml","tag-causal","tag-inference","tag-quantum"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/9328"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=9328"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/9328\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=9328"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=9328"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=9328"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}