{"id":720,"date":"2016-11-04T15:34:41","date_gmt":"2016-11-04T15:34:41","guid":{"rendered":"http:\/\/qu.edu.iq\/repository\/?p=720"},"modified":"2016-11-04T15:34:41","modified_gmt":"2016-11-04T15:34:41","slug":"rahim-alhamzawi","status":"publish","type":"post","link":"https:\/\/repository.qu.edu.iq\/?p=720","title":{"rendered":"Rahim Alhamzawi"},"content":{"rendered":"

1-Prior elicitation for mixed quantile regression with an allometric model.<\/a><\/strong><\/p>\n

2Inference with three-level prior distributions in quantile regression problems<\/a><\/strong><\/p>\n

3\u00a0Bayesian analysis of composite quantile regression<\/a><\/strong><\/p>\n

4\u00a0Bayesian analysis of composite quantile regression<\/a><\/strong><\/p>\n

5\u00a0Bayesian model selection in ordinal quantile regression<\/a><\/strong><\/p>\n

6\u00a0Bayesian elastic net single index quantile regression<\/a><\/strong><\/p>\n

7\u00a0Statistical methods for body mass index: A selective review<\/a><\/strong><\/p>\n

8\u00a0Gravitational lensing by f(R,T) gravity<\/a><\/strong><\/p>\n

9\u00a0Circular orbits in modified gravity<\/a><\/strong><\/p>\n

10\u00a0Quantile regression with group Lasso for classification<\/a><\/strong><\/p>\n

11\u00a0Model selection in quantile regression models<\/a><\/strong><\/p>\n

12Bayesian Tobit quantile regression using g-prior distribution with ridge parameter<\/a><\/strong><\/p>\n

13\u00a0Bayesian elastic net Tobit quantile regression<\/a><\/strong><\/p>\n

14\u00a0Comment on Article by Spokoiny, Wang and Hardle<\/a><\/strong><\/p>\n

15\u00a0Conjugate priors and variable selection for Bayesian quantile regression<\/a><\/strong><\/p>\n

16\u00a0Bayesian Lasso Binary Quantile regression<\/a><\/strong><\/p>\n

17\u00a0Tobit Quantile Regression with the adaptive Lasso<\/a><\/strong><\/p>\n

18\u00a0 Bayesian Lasso mixed quantile regression<\/a><\/strong><\/p>\n

19\u00a0Penalized Flexible Bayesian Quantile Regression<\/a><\/strong><\/p>\n

20\u00a0Bayesian adaptive Lasso quantile regression<\/a><\/strong><\/p>\n

21\u00a0Variable selection in quantile regression via Gibbs sampling<\/a><\/strong><\/p>\n

22\u00a0Prior Elicitation in Bayesian Quantile Regression for Longitudinal Data<\/a><\/strong><\/p>\n

23\u00a0Power Prior Elicitation in Bayesian Quantile Regression<\/a>\u00a0<\/strong><\/p>\n

24Prior Elicitation and Variable Selection for Bayesian Quantile Regression<\/a><\/strong><\/p>\n

25Gravitational lensing in the strong field limit by modified gravity<\/a>\u00a0<\/strong>On f(R) gravity<\/a><\/strong><\/p>\n

26Extensions of GR using Projective-Invariance<\/a><\/strong><\/p>\n

27\u00a0The asymptotic behavior of acceleration in f(R) gravity theories with non-minimal coupling<\/a><\/strong><\/p>\n

28Brq: Bayesian Analysis of Quantile Regression Models<\/a><\/strong><\/p>\n

29bayesQR: Bayesian Quantile Regression<\/a>\u00a0<\/span><\/strong><\/span>Advanced Tensor Analysis<\/strong><\/a><\/p>\n

30\u00a0Bayesian tobit quantile regression with penalty<\/a><\/strong><\/p>\n

31\u00a0Inference with three-level prior distributions in quantile regression problems<\/a><\/strong><\/p>\n

32\u00a0The Bayesian elastic net regression<\/a><\/strong><\/p>\n

33 Bayesian quantile regression for ordinal longitudinal data<\/a><\/strong><\/p>\n

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1-Prior elicitation for mixed quantile regression with an allometric model. 2Inference with three-level prior distributions in quantile regression problems 3\u00a0Bayesian … <\/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-720","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\/720","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=720"}],"version-history":[{"count":0,"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=\/wp\/v2\/posts\/720\/revisions"}],"wp:attachment":[{"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=720"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=720"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/repository.qu.edu.iq\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=720"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}