{"id":2140,"date":"2024-12-06T10:58:49","date_gmt":"2024-12-06T02:58:49","guid":{"rendered":"https:\/\/changjinyuan.com\/?p=2140"},"modified":"2025-07-09T16:36:33","modified_gmt":"2025-07-09T08:36:33","slug":"%e7%b3%bb%e5%88%97%e4%bb%a3%e8%a1%a8%e6%80%a7%e5%b7%a5%e4%bd%9c%e4%b8%89%ef%bc%9a%e5%9f%ba%e4%ba%8e%e9%ab%98%e6%96%af%e9%80%bc%e8%bf%91%e7%9a%84%e7%bb%9f%e8%ae%a1%e6%8e%a8%e6%96%ad%e6%96%b0%e7%90%86","status":"publish","type":"post","link":"https:\/\/changjinyuan.com\/index.php\/publications\/publications-proxy\/2140\/","title":{"rendered":"\u7cfb\u5217\u4ee3\u8868\u6027\u5de5\u4f5c\u4e09\uff1a\u57fa\u4e8e\u9ad8\u65af\u903c\u8fd1\u7684\u7edf\u8ba1\u63a8\u65ad\u65b0\u7406\u8bba"},"content":{"rendered":"<ul>\n<li><span style=\"color: #000000;\"><a style=\"color: #000000;\" href=\"https:\/\/changjinyuan.com\/wp-content\/uploads\/2025\/07\/Statistical-Inference-for-High-Dimensional-Spectral-Density-Matrix.pdf\"><strong>Chang, J.<\/strong>, Jiang, Q., McElroy, T., &amp; Shao, X. (2025+). Statistical inference for high-dimensional spectral density matrix. <strong><em>Journal of the American Statistical Association<\/em><\/strong>, in press.<\/a><\/span><\/li>\n<li><span style=\"color: #000000;\"><a style=\"color: #000000;\" href=\"https:\/\/changjinyuan.com\/wp-content\/uploads\/2025\/07\/EDGE-DIFFERENTIALLY-PRIVATE-ESTIMATION-IN-THE-%CE%B2-MODEL-VIA.pdf\"><strong>Chang, J.<\/strong>, <strong>Hu, Q.<\/strong>, Kolaczyk, E. D., Yao, Q., &amp; Yi, F. (2024). Edge differentially private estimation in the \u03b2-model via jittering and method of moments. <strong><em>Annals of Statistics<\/em><\/strong>, 52, 708-728.<\/a><\/span><\/li>\n<li><span style=\"color: #000000;\"><a style=\"color: #000000;\" href=\"https:\/\/changjinyuan.com\/wp-content\/uploads\/2024\/12\/Central-limit-theorems-for-high-dimensional-dependent-data.pdf\"><strong>Chang, J.<\/strong>, Chen, X., &amp; <strong>Wu, M<\/strong>. (2024). Central limit theorems for high dimensional dependent data. <strong><em>Bernoulli<\/em><\/strong>, 30, 712-742.<\/a><\/span><\/li>\n<li><span style=\"color: #000000;\"><a style=\"color: #000000;\" href=\"https:\/\/changjinyuan.com\/wp-content\/uploads\/2024\/12\/Statistical-Inferences-for-Complex-Dependence-of-Multimodal-Imaging-Data.pdf\"><strong>Chang, J.<\/strong>, <strong>He, J.<\/strong>, Kang, J., &amp; <strong>Wu, M.<\/strong> (2024). Statistical inferences for complex dependence of multimodal imaging data.<em><strong> Journal of the American Statistical Association<\/strong><\/em>, 119, 1486-1499.<\/a><\/span><\/li>\n<li><span style=\"color: #000000;\"><a style=\"color: #000000;\" href=\"https:\/\/changjinyuan.com\/wp-content\/uploads\/2024\/11\/Testing-the-martingale-difference-hypothesis-in-high-dimension.pdf\"><strong>Chang, J.<\/strong>, Jiang, Q., &amp; Shao, X. (2023). Testing the martingale difference hypothesis in high dimension, <em><strong>Journal of Econometrics<\/strong><\/em>, 235, 972-1000.<\/a><\/span><\/li>\n<li><span style=\"color: #000000;\"><a style=\"color: #000000;\" href=\"https:\/\/changjinyuan.com\/wp-content\/uploads\/2024\/12\/Confidence-regions-for-entries-of-a-large-precision-matrix.pdf\"><strong>Chang, J.<\/strong>, Qiu, Y., Yao, Q., &amp; Zou, T. (2018). Confidence regions for entries of a large precision matrix, <strong><em>Journal of Econometrics<\/em><\/strong>, 206, 57-82.<\/a><\/span><\/li>\n<li><span style=\"color: #000000;\"><a style=\"color: #000000;\" href=\"https:\/\/changjinyuan.com\/wp-content\/uploads\/2024\/12\/Testing-for-high-dimensional-white-noise-using-maximum-cross-correlations.pdf\"><strong>Chang, J.<\/strong>, Yao, Q., &amp; Zhou, W. (2017). Testing for high-dimensional white noise using maximum cross-correlations. <em><strong>Biometrika<\/strong><\/em>, 104, 111-127.<\/a><\/span><\/li>\n<li><span style=\"color: #000000;\"><a style=\"color: #000000;\" href=\"https:\/\/changjinyuan.com\/wp-content\/uploads\/2024\/12\/Simulation-based-hypothesis-testing-of-high-dimensional-means-under-covariance-heterogeneity.pdf\"><strong>Chang, J.<\/strong>, Zheng, C., Zhou, W.-X., &amp; Zhou, W. (2017). Simulation-based hypothesis testing of high dimensional means under covariance heterogeneity. <em><strong>Biometrics<\/strong><\/em>, 73, 1300-1310.<\/a><\/span><\/li>\n<li><span style=\"color: #000000;\"><a style=\"color: #000000;\" href=\"https:\/\/changjinyuan.com\/wp-content\/uploads\/2024\/12\/Comparing-large-covariance-matrices-under-weak-conditions-on-the-depen.pdf\"><strong>Chang, J.<\/strong>, Zhou, W., Zhou, W.-X., &amp; Wang, L. (2017). Comparing large covariance matrices under weak conditions on the dependence structure and its application to gene clustering. <em><strong>Biometrics<\/strong><\/em>, 73, 31-41.<\/a><\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\u8fd9\u4e00\u7c7b\u522b\u7684\u7814\u7a76\u5173\u6ce8\u9ad8\u7ef4\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u7684\u6a21\u578b\u6784\u5efa\u3001\u9884\u6d4b\u4ee5\u53ca\u7edf\u8ba1\u7279\u6027\u5206\u6790\uff0c\u4e3b\u8981\u89e3\u51b3\u5728\u9ad8\u7ef4\u590d\u6742\u52a8\u6001\u6570\u636e\u4e2d\u7684\u7279\u5f81\u63d0\u53d6\u4e0e\u7ed3\u6784\u5316\u5904\u7406\u95ee\u9898\u3002<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[17],"tags":[],"class_list":["post-2140","post","type-post","status-publish","format-standard","hentry","category-publications-proxy"],"acf":[],"lang":"cn","translations":{"cn":2140,"en":2142},"pll_sync_post":[],"_links":{"self":[{"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/posts\/2140","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/comments?post=2140"}],"version-history":[{"count":13,"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/posts\/2140\/revisions"}],"predecessor-version":[{"id":5113,"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/posts\/2140\/revisions\/5113"}],"wp:attachment":[{"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/media?parent=2140"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/categories?post=2140"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/changjinyuan.com\/index.php\/wp-json\/wp\/v2\/tags?post=2140"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}