{"id":814,"date":"2016-11-04T17:54:13","date_gmt":"2016-11-04T17:54:13","guid":{"rendered":"http:\/\/qu.edu.iq\/repository\/?p=814"},"modified":"2016-11-04T17:54:13","modified_gmt":"2016-11-04T17:54:13","slug":"%d8%a3-%d9%85-%d8%af-%d8%b9%d9%84%d9%8a-%d8%ac%d9%88%d8%a7%d8%af-%d9%83%d8%a7%d8%b8%d9%85-%d8%a7%d9%84%d9%83%d9%86%d8%a7%d9%86%d9%8a","status":"publish","type":"post","link":"https:\/\/repository.qu.edu.iq\/?p=814","title":{"rendered":"\u0623.\u0645.\u062f \u0639\u0644\u064a \u062c\u0648\u0627\u062f \u0643\u0627\u0638\u0645 \u0627\u0644\u0643\u0646\u0627\u0646\u064a"},"content":{"rendered":"

1-\u00a0\u0627\u0642\u062a\u0631\u0627\u062d \u0639\u0627\u0645\u0644 \u062a\u0639\u062f\u064a\u0644 \u062c\u062f\u064a\u062f \u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062a\u0646\u0642\u064a\u0629 \u0627\u0644\u0645\u0648\u0627\u0632\u0646\u0629 ( Adaptive Filtering) \u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u0630\u0627\u062a\u064a \u0645\u0646 \u0627\u0644\u062f\u0631\u062c\u0629 \u0627\u0644\u0627\u0648\u0644\u0649\u00a0<\/a><\/strong><\/p>\n

(1)AR.<\/a><\/strong><\/p>\n

2-\u00a0Sparse Sliced Inverse Quantile Regression<\/a>.<\/strong><\/p>\n

3-\u00a0Sparse ridge Sliced inverse quantile regression without quantile crossing.<\/a><\/strong><\/p>\n

4- \u062f\u0631\u0627\u0633\u0629 \u0627\u062d\u0635\u0627\u0626\u064a\u0629 \u0644\u0648\u0627\u0642\u0639 \u062a\u0627\u062b\u064a\u0631 \u0627\u0644\u0645\u0633\u062a\u062e\u0644\u0635 \u0627\u0644\u0643\u062d\u0648\u0644\u064a \u0644\u0645\u0633\u062d\u0648\u0642 \u0642\u0634\u0631\u0629 \u062d\u064a\u0648\u0627\u0646 \u0627\u0644\u0633\u0631\u0637\u0627\u0646 \u0639\u0644\u0649 \u0646\u0645\u0648 \u0648\u062a\u0643\u0627\u062b\u0631 \u0627\u0644\u062e\u0644\u0627\u064a\u0627 \u0627\u0644\u0633\u0631\u0637\u0627\u0646\u064a\u0629 \u0627\u0644\u0628\u0634\u0631\u064a\u0629.<\/a><\/strong><\/p>\n

5- \u062f\u0631\u0627\u0633\u0629 \u0645\u0642\u0627\u0631\u0646\u0629 \u0644\u0628\u0639\u0636 \u0646\u0627\u0630\u062c \u0627\u0644\u062a\u062d\u0648\u064a\u0644\u0627\u062a \u0644\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062e\u0627\u0635\u0629 \u0628\u0627\u0644\u062d\u0645\u0636 \u0627\u0644\u0646\u0648\u0648\u064a DNA.<\/a><\/strong><\/p>\n

6-\u00a0A comparative study for robust canonical correlation methods<\/a><\/strong><\/p>\n

7-\u00a0New Bandwidth Selection for Kernel Quantile Estimators<\/a><\/strong><\/p>\n

8-\u00a0Penalized Single-Index Quantile Regression<\/a><\/strong><\/p>\n

9- Sparse mave with oracle penalties<\/a><\/strong><\/p>\n

10- \u0627\u062a\u062c\u0627\u0647\u0627\u062a \u0627\u0639\u0636\u0627\u0621 \u0627\u0644\u0647\u064a\u0626\u0629 \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a\u0629 ( \u0627\u0644\u0645\u0639\u0644\u0645\u064a\u0646 \u0648 \u0627\u0644\u0645\u0639\u0644\u0645\u0627\u062a ) \u0646\u062d\u0648 \u0627\u0644\u0639\u0648\u0627\u0645\u0644 \u0627\u0644\u0645\u0624\u062b\u0631\u0629 \u0641\u064a \u0645\u0634\u0643\u0644\u0629 \u0636\u0639\u0641 \u0627\u0644\u0627\u0645\u0644\u0627\u0621 \u0644\u062f\u0649 \u0628\u0639\u0636 \u062a\u0644\u0627\u0645\u064a\u0630 \u0627\u0644\u0645\u0631\u062d\u0644\u0629 \u0627\u0644\u062a\u0627\u0633\u064a\u0633\u064a\u0629.<\/a><\/strong><\/p>\n

11- \u0627\u0642\u062a\u0631\u0627\u062d \u0639\u0645\u0627\u0644 \u062a\u0639\u062f\u064a\u0644 \u062c\u062f\u064a\u062f \u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062a\u0646\u0642\u064a\u0629 \u0627\u0644\u0645\u0648\u0627\u0626\u0645\u0629 (Adaptive Filtering) \u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u0630\u0627\u062a\u064a \u0645\u0646 \u0627\u0644\u062f\u0631\u062c\u0629 \u0627\u0644\u0627\u0648\u0644\u0649 (AR(1<\/a><\/strong><\/p>\n

12-\u00a0\u0627\u0644\u062a\u0646\u0628\u0624\u0627\u0644\u0645\u0633\u062a\u0642\u0628\u0644\u064a \u0644\u0645\u0646\u062a\u0648\u062c \u062d\u0627\u0645\u0636 \u0627\u0644\u0643\u0628\u0631\u064a\u062a\u064a\u0643 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0637\u0631\u064a\u0642\u062a\u064a \u0647\u0648\u0644\u062a \u0648\u0646\u062a\u0631 \u0648\u0628\u0648\u0643\u0633 \u062c\u0646\u0643\u0646\u0632<\/a><\/strong><\/p>\n

13- \u0627\u0644\u062d\u0635\u0627\u0646\u0629 \u0641\u064a \u0645\u0642\u062f\u0631\u0627\u062a \u0645\u0639\u0627\u0645\u0644\u0627\u062a \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u0627\u0644\u0642\u0648\u064a\u0645<\/a><\/strong><\/p>\n

14-\u00a0\u062a\u0627\u062b\u064a\u0631 \u0627\u0644\u0639\u0644\u064a\u0642\u0647 \u0627\u0644\u062a\u064a \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0627\u0644\u062d\u0628\u0647 \u0627\u0644\u0633\u0648\u062f\u0627\u0621 \u0648\u0627\u0644\u0644\u0642\u0627\u062d \u0627\u0644\u0632\u064a\u062a\u064a \u0627\u0644\u0645\u0628\u0637\u0644(\u0644\u0645\u0631\u0636 \u0646\u064a\u0648\u0643\u0627\u0633\u0644) \u0648\u0627\u0644\u0639\u0645\u0631\u0639\u0644\u0649 \u0628\u0639\u0636 \u0627\u0644\u0635\u0641\u0627\u062a \u0627\u0644\u0641\u0633\u0644\u062c\u064a\u0647 \u0644\u062f\u062c\u0627\u062c \u0627\u0644\u0644\u062d\u0645<\/a><\/strong><\/p>\n

15- \u062a\u0627\u062b\u064a\u0631 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0634\u0627\u0630\u0629 \u0639\u0644\u0649 \u0627\u0644\u062a\u0646\u0628\u0624 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062a\u0645\u0647\u064a\u062f \u0627\u0644\u0627\u0633\u064a \u0627\u0644\u0627\u062d\u0627\u062f\u064a \u0627\u0644\u062a\u0643\u064a\u0641\u064a\u00a0<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

1-\u00a0\u0627\u0642\u062a\u0631\u0627\u062d \u0639\u0627\u0645\u0644 \u062a\u0639\u062f\u064a\u0644 \u062c\u062f\u064a\u062f \u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062a\u0646\u0642\u064a\u0629 \u0627\u0644\u0645\u0648\u0627\u0632\u0646\u0629 ( Adaptive Filtering) \u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u0630\u0627\u062a\u064a \u0645\u0646 \u0627\u0644\u062f\u0631\u062c\u0629 \u0627\u0644\u0627\u0648\u0644\u0649\u00a0 (1)AR. 2-\u00a0Sparse Sliced Inverse … <\/i>\u0642\u0631\u0627\u0621\u0629 \u0627\u0644\u0645\u0632\u064a\u062f<\/span><\/a><\/p>\n","protected":false},"author":49,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-814","post","type-post","status-publish","format-standard","hentry","category-8"],"_links":{"self":[{"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=\/wp\/v2\/posts\/814","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=\/wp\/v2\/users\/49"}],"replies":[{"embeddable":true,"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=814"}],"version-history":[{"count":0,"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=\/wp\/v2\/posts\/814\/revisions"}],"wp:attachment":[{"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=814"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=814"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=814"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}