{"id":477451,"date":"2023-08-09T09:15:09","date_gmt":"2023-08-09T09:15:09","guid":{"rendered":""},"modified":"2023-09-05T11:14:43","modified_gmt":"2023-09-05T11:14:43","slug":"hierarchical-bayesian-models","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/kr\/wiki\/hierarchical-bayesian-models\/","title":{"rendered":"\uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378"},"content":{"rendered":"<p>\ub2e4\ub2e8\uacc4 \ubaa8\ub378\uc774\ub77c\uace0\ub3c4 \uc54c\ub824\uc9c4 \uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc740 \ub370\uc774\ud130\ub97c \uc5ec\ub7ec \uacc4\uce35 \uc218\uc900\uc5d0\uc11c \ub3d9\uc2dc\uc5d0 \ubd84\uc11d\ud560 \uc218 \uc788\ub294 \uc815\uad50\ud55c \ud1b5\uacc4 \ubaa8\ub378 \uc138\ud2b8\uc785\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ubaa8\ub378\uc740 \ubca0\uc774\uc9c0\uc548 \ud1b5\uacc4\uc758 \uac15\ub825\ud55c \uae30\ub2a5\uc744 \ud65c\uc6a9\ud558\uc5ec \ubcf5\uc7a1\ud55c \uacc4\uce35\uc801 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \ucc98\ub9ac\ud560 \ub54c \ub354\uc6b1 \ubbf8\ubb18\ud558\uace0 \uc815\ud655\ud55c \uacb0\uacfc\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n<h2>\uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc758 \uae30\uc6d0\uacfc \uc9c4\ud654<\/h2>\n<p>18\uc138\uae30\uc5d0 \ubca0\uc774\uc9c0\uc548 \ud1b5\uacc4\ub97c \ub3c4\uc785\ud55c \ud1a0\ub9c8\uc2a4 \ubca0\uc774\uc988\uc758 \uc774\ub984\uc744 \ub534 \ubca0\uc774\uc9c0\uc548 \ud1b5\uacc4\uc758 \uac1c\ub150\uc740 \uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc758 \uae30\ucd08\uac00 \ub429\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \uacc4\uc0b0 \ub2a5\ub825\uacfc \uc815\uad50\ud55c \uc54c\uace0\ub9ac\uc998\uc774 \ub4f1\uc7a5\ud55c 20\uc138\uae30 \ud6c4\ubc18\uc774 \ub418\uc5b4\uc11c\uc57c \uc774\ub7ec\ud55c \ubaa8\ub378\uc774 \uc778\uae30\ub97c \uc5bb\uae30 \uc2dc\uc791\ud588\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc758 \ub3c4\uc785\uc740 \ubca0\uc774\uc9c0\uc548 \ud1b5\uacc4 \ubd84\uc57c\uc5d0\uc11c \uc911\uc694\ud55c \ubc1c\uc804\uc744 \ub098\ud0c0\ub0c8\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ubaa8\ub378\uc744 \ub17c\uc758\ud55c \uccab \ubc88\uc9f8 \uc911\uc694\ud55c \uc791\uc5c5\uc740 2007\ub144\uc5d0 \ucd9c\ud310\ub41c Andrew Gelman\uacfc Jennifer Hill\uc758 \uc800\uc11c &quot;\ud68c\uadc0 \ubc0f \ub2e4\ub2e8\uacc4\/\uacc4\uce35\uc801 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud55c \ub370\uc774\ud130 \ubd84\uc11d&quot;\uc774\uc5c8\uc2b5\ub2c8\ub2e4. \uc774 \uc791\uc5c5\uc740 \ubcf5\uc7a1\ud55c \ub2e4\ub2e8\uacc4 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ud6a8\uacfc\uc801\uc778 \ub3c4\uad6c\ub85c\uc11c \uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc758 \uc2dc\uc791\uc744 \uc54c\ub838\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>\uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc5d0 \ub300\ud55c \uc2ec\uce35 \ubd84\uc11d<\/h2>\n<p>\uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc740 \ubca0\uc774\uc9c0\uc548 \ud504\ub808\uc784\uc6cc\ud06c\ub97c \ud65c\uc6a9\ud558\uc5ec \uacc4\uce35\uc801 \ub370\uc774\ud130\uc138\ud2b8\uc758 \ub2e4\uc591\ud55c \uc218\uc900\uc5d0 \uac78\uccd0 \ubd88\ud655\uc2e4\uc131\uc744 \ubaa8\ub378\ub9c1\ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ubaa8\ub378\uc740 \uad00\uce21\uac12\uc774 \uc0c1\uc704 \uc218\uc900 \uadf8\ub8f9 \ub0b4\uc5d0 \uc911\ucca9\ub418\uc5b4 \uc788\ub294 \ubcf5\uc7a1\ud55c \ub370\uc774\ud130 \uad6c\uc870\ub97c \ucc98\ub9ac\ud558\ub294 \ub370 \ub9e4\uc6b0 \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4.<\/p>\n<p>\uc608\ub97c \ub4e4\uc5b4, \uc5ec\ub7ec \ud559\uad70\uc5d0 \uc788\ub294 \uc5ec\ub7ec \ud559\uad50\uc758 \ud559\uc0dd \uc131\uacfc\uc5d0 \ub300\ud55c \uc5f0\uad6c\ub97c \uc0dd\uac01\ud574 \ubcf4\uc138\uc694. \uc774 \uacbd\uc6b0 \ud559\uc0dd\uc740 \uad50\uc2e4\ubcc4\ub85c, \uad50\uc2e4\uc740 \ud559\uad50\ubcc4\ub85c, \ud559\uad50\ub294 \uad6c\uc5ed\ubcc4\ub85c \uadf8\ub8f9\ud654\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc740 \uc774\ub7ec\ud55c \uacc4\uce35\uc801 \uadf8\ub8f9\uc744 \uc124\uba85\ud558\ub294 \ub3d9\uc2dc\uc5d0 \ud559\uc0dd \uc131\uacfc \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc8fc\uc5b4 \ubcf4\ub2e4 \uc815\ud655\ud55c \ucd94\ub860\uc744 \ubcf4\uc7a5\ud569\ub2c8\ub2e4.<\/p>\n<h2>\uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc758 \ub0b4\ubd80 \uba54\ucee4\ub2c8\uc998 \uc774\ud574<\/h2>\n<p>\uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc740 \uc5ec\ub7ec \ub808\uc774\uc5b4\ub85c \uad6c\uc131\ub418\uba70, \uac01 \ub808\uc774\uc5b4\ub294 \ub370\uc774\ud130\uc138\ud2b8 \uacc4\uce35\uc758 \uc11c\ub85c \ub2e4\ub978 \uc218\uc900\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ubaa8\ub378\uc758 \uae30\ubcf8 \uad6c\uc870\ub294 \ub450 \ubd80\ubd84\uc73c\ub85c \uad6c\uc131\ub429\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\uac00\ub2a5\uc131(\uadf8\ub8f9 \ub0b4 \ubaa8\ub378)<\/strong>: \ubaa8\ub378\uc758 \uc774 \ubd80\ubd84\uc740 \uacb0\uacfc \ubcc0\uc218(\uc608: \ud559\uc0dd \uc131\uacfc)\uac00 \uac00\uc7a5 \ub0ae\uc740 \uacc4\uce35 \uc218\uc900(\uc608: \uac1c\ubcc4 \ud559\uc0dd \ud2b9\uc131)\uc758 \uc608\uce21 \ubcc0\uc218\uc640 \uc5b4\ub5bb\uac8c \uad00\ub828\ub418\uc5b4 \uc788\ub294\uc9c0 \uc124\uba85\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc0ac\uc804 \ubd84\ud3ec(\uadf8\ub8f9 \uac04 \ubaa8\ub378)<\/strong>: \uc774\ub294 \uadf8\ub8f9 \ud3c9\uade0\uc774 \ub354 \ub192\uc740 \uacc4\uce35 \uc218\uc900\uc5d0\uc11c \uc5b4\ub5bb\uac8c \ub2ec\ub77c\uc9c0\ub294\uc9c0 \uc124\uba85\ud558\ub294 \uadf8\ub8f9 \uc218\uc900 \ub9e4\uac1c\ubcc0\uc218\uc5d0 \ub300\ud55c \ubaa8\ub378\uc785\ub2c8\ub2e4(\uc608: \ud559\uad50 \ubc0f \uc9c0\uc5ed\uc5d0 \ub530\ub77c \ud3c9\uade0 \ud559\uc0dd \uc131\uacfc\uac00 \uc5b4\ub5bb\uac8c \ub2ec\ub77c\uc9c0\ub294\uc9c0).<\/p>\n<\/li>\n<\/ol>\n<p>\uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc758 \uc8fc\ub41c \ud798\uc740 \ud2b9\ud788 \ub370\uc774\ud130\uac00 \ud76c\ubc15\ud560 \ub54c \ub354\uc6b1 \uc815\ud655\ud55c \uc608\uce21\uc744 \ud558\uae30 \uc704\ud574 \ub2e4\uc591\ud55c \uadf8\ub8f9\uc5d0 \uac78\uccd0 &quot;\uac15\ub3c4\ub97c \ube4c\ub824\uc624\ub294&quot; \ub2a5\ub825\uc5d0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>\uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc758 \uc8fc\uc694 \ud2b9\uc9d5<\/h2>\n<p>\uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc758 \uc8fc\uc694 \ud2b9\uc9d5 \uc911 \uc77c\ubd80\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<ul>\n<li><strong>\ub2e4\ub2e8\uacc4 \ub370\uc774\ud130 \ucc98\ub9ac<\/strong>: \uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc740 \ub370\uc774\ud130\uac00 \ub2e4\uc591\ud55c \uacc4\uce35\uc801 \uc218\uc900\uc73c\ub85c \uadf8\ub8f9\ud654\ub418\ub294 \ub2e4\uc911 \uc218\uc900 \ub370\uc774\ud130 \uad6c\uc870\ub97c \ud6a8\uacfc\uc801\uc73c\ub85c \ucc98\ub9ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<li><strong>\ubd88\ud655\uc2e4\uc131\uc758 \ud1b5\ud569<\/strong>: \uc774\ub7ec\ud55c \ubaa8\ub378\uc740 \ubcf8\uc9c8\uc801\uc73c\ub85c \ubaa8\uc218 \ucd94\uc815\uc758 \ubd88\ud655\uc2e4\uc131\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\uadf8\ub8f9 \uc804\ubc18\uc5d0 \uac78\uccd0 \ucc28\uc6a9 \uac15\ub3c4<\/strong>: \uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc740 \ub2e4\uc591\ud55c \uadf8\ub8f9\uc758 \uc815\ubcf4\ub97c \ud65c\uc6a9\ud558\uc5ec \uc815\ud655\ud55c \uc608\uce21\uc744 \uc218\ud589\ud558\uba70, \ud2b9\ud788 \ub370\uc774\ud130\uac00 \ud76c\ubc15\ud560 \ub54c \uc720\uc6a9\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\uc720\uc5f0\uc131<\/strong>: \uc774\ub7ec\ud55c \ubaa8\ub378\uc740 \uc720\uc5f0\uc131\uc774 \ub6f0\uc5b4\ub098\uba70 \ub354 \ubcf5\uc7a1\ud55c \uacc4\uce35 \uad6c\uc870\uc640 \ub2e4\uc591\ud55c \uc720\ud615\uc758 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub3c4\ub85d \ud655\uc7a5\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>\ub2e4\uc591\ud55c \uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378<\/h2>\n<p>\ub2e4\uc591\ud55c \uc720\ud615\uc758 \uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc774 \uc788\uc73c\uba70 \uc8fc\ub85c \ucc98\ub9ac\ud558\ub3c4\ub85d \uc124\uacc4\ub41c \uacc4\uce35\uc801 \ub370\uc774\ud130\uc758 \uad6c\uc870\uc5d0 \ub530\ub77c \uad6c\ubcc4\ub429\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uba87 \uac00\uc9c0 \uc8fc\uc694 \uc608\uc785\ub2c8\ub2e4.<\/p>\n<table>\n<thead>\n<tr>\n<th>\ubaa8\ub378 \uc720\ud615<\/th>\n<th>\uc124\uba85<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>\uc120\ud615 \uacc4\uce35\uc801 \ubaa8\ub378<\/strong><\/td>\n<td>\uc9c0\uc18d\uc801\uc778 \uacb0\uacfc \ub370\uc774\ud130\ub97c \uc704\ud574 \uc124\uacc4\ub418\uc5c8\uc73c\uba70 \uc608\uce21 \ubcc0\uc218\uc640 \uacb0\uacfc \uac04\uc758 \uc120\ud615 \uad00\uacc4\ub97c \uac00\uc815\ud569\ub2c8\ub2e4.<\/td>\n<\/tr>\n<tr>\n<td><strong>\uc77c\ubc18\ud654\ub41c \uc120\ud615 \uacc4\uce35\uc801 \ubaa8\ub378<\/strong><\/td>\n<td>\ub2e4\uc591\ud55c \uc720\ud615\uc758 \uacb0\uacfc \ub370\uc774\ud130(\uc5f0\uc18d, \uc774\uc9c4, \uac1c\uc218 \ub4f1)\ub97c \ucc98\ub9ac\ud560 \uc218 \uc788\uc73c\uba70 \uc5f0\uacb0 \uae30\ub2a5\uc744 \uc0ac\uc6a9\ud558\uc5ec \ube44\uc120\ud615 \uad00\uacc4\ub97c \ud5c8\uc6a9\ud569\ub2c8\ub2e4.<\/td>\n<\/tr>\n<tr>\n<td><strong>\uc911\ucca9\ub41c \uacc4\uce35\uc801 \ubaa8\ub378<\/strong><\/td>\n<td>\ub370\uc774\ud130\ub294 \ud559\uad50 \ub0b4 \uad50\uc2e4 \ub0b4 \ud559\uc0dd\uacfc \uac19\uc774 \uc5c4\uaca9\ud558\uac8c \uc911\ucca9\ub41c \uad6c\uc870\ub85c \uadf8\ub8f9\ud654\ub429\ub2c8\ub2e4.<\/td>\n<\/tr>\n<tr>\n<td><strong>\uad50\ucc28 \uacc4\uce35 \ubaa8\ub378<\/strong><\/td>\n<td>\ub370\uc774\ud130\ub294 \uc11c\ub85c \ub2e4\ub978 \uacfc\ubaa9\uc5d0\uc11c \uc5ec\ub7ec \uad50\uc0ac\uac00 \ud559\uc0dd\uc744 \ud3c9\uac00\ud558\ub294 \uac83\ucc98\ub7fc \uc911\ucca9\ub418\uc9c0 \uc54a\uac70\ub098 \uad50\ucc28\ub41c \uad6c\uc870\ub85c \uadf8\ub8f9\ud654\ub429\ub2c8\ub2e4.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378 \uad6c\ud604: \ubb38\uc81c \ubc0f \uc194\ub8e8\uc158<\/h2>\n<p>\uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc740 \ub9e4\uc6b0 \uac15\ub825\ud558\uc9c0\ub9cc \uacc4\uc0b0 \uac15\ub3c4, \uc218\ub834 \ubb38\uc81c \ubc0f \ubaa8\ub378 \uc0ac\uc591\uc758 \uc5b4\ub824\uc6c0\uc73c\ub85c \uc778\ud574 \uad6c\ud604\uc774 \uc5b4\ub824\uc6b8 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \ud574\uacb0\ucc45\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<ul>\n<li><strong>\uacc4\uc0b0 \uac15\ub3c4<\/strong>: Stan \ubc0f JAGS\uc640 \uac19\uc740 \uace0\uae09 \uc18c\ud504\ud2b8\uc6e8\uc5b4\ub294 Gibbs Sampling \ubc0f Hamiltonian Monte Carlo\uc640 \uac19\uc740 \ud6a8\uc728\uc801\uc778 \uc54c\uace0\ub9ac\uc998\uacfc \ud568\uaed8 \uc774\ub7ec\ud55c \ubb38\uc81c\ub97c \uadf9\ubcf5\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<li><strong>\uc735\ud569 \uc774\uc288<\/strong>: Trace Plot \ubc0f R-hat \ud1b5\uacc4\uc640 \uac19\uc740 \uc9c4\ub2e8 \ub3c4\uad6c\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc218\ub834 \ubb38\uc81c\ub97c \uc2dd\ubcc4\ud558\uace0 \ud574\uacb0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<li><strong>\ubaa8\ub378 \uc0ac\uc591<\/strong>: \uc774\ub860\uc801 \uc774\ud574\ub97c \ubc14\ud0d5\uc73c\ub85c \ubaa8\ub378\uc744 \uc8fc\uc758 \uae4a\uac8c \uacf5\uc2dd\ud654\ud558\uace0 DIC(Deviance Information Criterion)\uc640 \uac19\uc740 \ubaa8\ub378 \ube44\uad50 \ub3c4\uad6c\ub97c \uc0ac\uc6a9\ud558\uba74 \uc62c\ubc14\ub978 \ubaa8\ub378\uc744 \uc9c0\uc815\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>\uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378: \ube44\uad50 \ubc0f \ud2b9\uc131<\/h2>\n<p>\uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc740 \uc885\uc885 \ubb34\uc791\uc704 \ud6a8\uacfc \ubaa8\ub378 \ubc0f \ud63c\ud569 \ud6a8\uacfc \ubaa8\ub378\uacfc \uac19\uc740 \ub2e4\ub978 \uc720\ud615\uc758 \ub2e4\ub2e8\uacc4 \ubaa8\ub378\uacfc \ube44\uad50\ub429\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uba87 \uac00\uc9c0 \uc8fc\uc694 \ucc28\uc774\uc810\uc785\ub2c8\ub2e4.<\/p>\n<ul>\n<li><strong>\ubd88\ud655\uc2e4\uc131 \ubaa8\ub378\ub9c1<\/strong>: \uc774\ub7ec\ud55c \ubaa8\ub4e0 \ubaa8\ub378\uc740 \ub2e4\ub2e8\uacc4 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud560 \uc218 \uc788\uc9c0\ub9cc \uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc740 \ud655\ub960 \ubd84\ud3ec\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\uc218 \ucd94\uc815\uc758 \ubd88\ud655\uc2e4\uc131\ub3c4 \uc124\uba85\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\uc720\uc5f0\uc131<\/strong>: \uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc740 \ubcf4\ub2e4 \uc720\uc5f0\ud558\uba70 \ubcf5\uc7a1\ud55c \uacc4\uce35 \uad6c\uc870\uc640 \ub2e4\uc591\ud55c \uc720\ud615\uc758 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>\uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc5d0 \ub300\ud55c \ubbf8\ub798\uc758 \uad00\uc810<\/h2>\n<p>\ube45\ub370\uc774\ud130\uc758 \uc9c0\uc18d\uc801\uc778 \uc131\uc7a5\uc5d0 \ub530\ub77c \ubcf5\uc7a1\ud55c \uacc4\uce35 \uad6c\uc870\ub97c \ucc98\ub9ac\ud560 \uc218 \uc788\ub294 \ubaa8\ub378\uc758 \ud544\uc694\uc131\uc740 \ub354\uc6b1 \ucee4\uc9c8 \uac83\uc73c\ub85c \uc608\uc0c1\ub429\ub2c8\ub2e4. \ub610\ud55c, \uacc4\uc0b0 \ub2a5\ub825\uacfc \uc54c\uace0\ub9ac\uc998\uc758 \ubc1c\uc804\uc73c\ub85c \uc774\ub7ec\ud55c \ubaa8\ub378\uc758 \uc811\uadfc\uc131\uacfc \ud6a8\uc728\uc131\uc774 \ub354\uc6b1 \ub192\uc544\uc9c8 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<p>\uae30\uacc4 \ud559\uc2b5 \uc811\uadfc \ubc29\uc2dd\uc740 \ubca0\uc774\uc9c0\uc548 \ubc29\ubc95\ub860\uc744 \uc810\uc810 \ub354 \ud1b5\ud569\ud558\uace0 \uc788\uc73c\uba70, \uadf8 \uacb0\uacfc \ub450 \uc138\uacc4\uc758 \uc7a5\uc810\uc744 \ubaa8\ub450 \uc81c\uacf5\ud558\ub294 \ud558\uc774\ube0c\ub9ac\ub4dc \ubaa8\ub378\uc774 \ud0c4\uc0dd\ud588\uc2b5\ub2c8\ub2e4. \uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc740 \uc758\uc2ec\ud560 \uc5ec\uc9c0 \uc5c6\uc774 \uacc4\uc18d\ud574\uc11c \uc774\ub7ec\ud55c \uac1c\ubc1c\uc758 \ucd5c\uc804\uc120\uc5d0 \uc11c\uc11c \ub2e4\ub2e8\uacc4 \ub370\uc774\ud130 \ubd84\uc11d\uc744 \uc704\ud55c \uac15\ub825\ud55c \ub3c4\uad6c\ub97c \uc81c\uacf5\ud560 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<h2>\ud504\ub85d\uc2dc \uc11c\ubc84 \ubc0f \uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378<\/h2>\n<p>OneProxy\uc5d0\uc11c \uc81c\uacf5\ud558\ub294 \uac83\uacfc \uac19\uc740 \ud504\ub85d\uc2dc \uc11c\ubc84\uc758 \ub9e5\ub77d\uc5d0\uc11c \uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc740 \uc7a0\uc7ac\uc801\uc73c\ub85c \uc608\uce21 \ubd84\uc11d, \ub124\ud2b8\uc6cc\ud06c \ucd5c\uc801\ud654 \ubc0f \uc0ac\uc774\ubc84 \ubcf4\uc548\uc5d0 \uc0ac\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc591\ud55c \uacc4\uce35 \uad6c\uc870 \uc218\uc900\uc5d0\uc11c \uc0ac\uc6a9\uc790 \ud589\ub3d9\uacfc \ub124\ud2b8\uc6cc\ud06c \ud2b8\ub798\ud53d\uc744 \ubd84\uc11d\ud568\uc73c\ub85c\uc368 \uc774\ub7ec\ud55c \ubaa8\ub378\uc740 \uc11c\ubc84 \ub85c\ub4dc \ubd84\uc0b0\uc744 \ucd5c\uc801\ud654\ud558\uace0 \ub124\ud2b8\uc6cc\ud06c \uc0ac\uc6a9\ub7c9\uc744 \uc608\uce21\ud558\uba70 \uc7a0\uc7ac\uc801\uc778 \ubcf4\uc548 \uc704\ud611\uc744 \uc2dd\ubcc4\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>\uad00\ub828\ub41c \ub9c1\ud06c\ub4e4<\/h2>\n<p>\uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc5d0 \ub300\ud55c \uc790\uc138\ud55c \ub0b4\uc6a9\uc744 \ubcf4\ub824\uba74 \ub2e4\uc74c \ub9ac\uc18c\uc2a4\ub97c \uace0\ub824\ud558\uc138\uc694.<\/p>\n<ol>\n<li><a href=\"https:\/\/www.amazon.com\/Analysis-Regression-Multilevel-Hierarchical-Models\/dp\/0521867061\" target=\"_new\" rel=\"noopener nofollow\">Gelman\uacfc Hill\uc758 &quot;\ud68c\uadc0 \ubc0f \ub2e4\ub2e8\uacc4\/\uacc4\uce35\uc801 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud55c \ub370\uc774\ud130 \ubd84\uc11d&quot;<\/a><\/li>\n<li><a href=\"https:\/\/statisticalhorizons.com\/hierarchical-models\" target=\"_new\" rel=\"noopener nofollow\">Statistical Horizons\uc758 \uacc4\uce35\uc801 \ubaa8\ub378 \uacfc\uc815<\/a><\/li>\n<li><a href=\"https:\/\/mc-stan.org\/users\/documentation\/\" target=\"_new\" rel=\"noopener nofollow\">Stan \uc0ac\uc6a9\uc790 \uac00\uc774\ub4dc<\/a><\/li>\n<li><a href=\"https:\/\/www.jstatsoft.org\/article\/view\/v014i11\" target=\"_new\" rel=\"noopener nofollow\">\uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378: \ubca0\uc774\uc9c0\uc548 \ud1b5\uacc4 \uac00\uc774\ub4dc<\/a><\/li>\n<\/ol>\n<p>\uacc4\uce35\uc801 \ubca0\uc774\uc9c0\uc548 \ubaa8\ub378\uc758 \uc138\uacc4\ub294 \ubcf5\uc7a1\ud558\uc9c0\ub9cc \ubcf5\uc7a1\ud55c \ub370\uc774\ud130 \uad6c\uc870\uc640 \ubd88\ud655\uc2e4\uc131\uc744 \ucc98\ub9ac\ud558\ub294 \ub2a5\ub825\uc740 \ud604\ub300 \ub370\uc774\ud130 \ubd84\uc11d\uc5d0\uc11c \ub9e4\uc6b0 \uadc0\uc911\ud55c \ub3c4\uad6c\uc785\ub2c8\ub2e4. \uc0ac\ud68c \uacfc\ud559\uc5d0\uc11c \uc0dd\ubb3c\ud559 \uc5f0\uad6c\uc5d0 \uc774\ub974\uae30\uae4c\uc9c0, \uadf8\ub9ac\uace0 \ud604\uc7ac \uc7a0\uc7ac\uc801\uc73c\ub85c \ud504\ub85d\uc2dc \uc11c\ubc84 \ubc0f \ub124\ud2b8\uc6cc\ud06c \uad00\ub9ac \ubd84\uc57c\uc5d0 \uc774\ub974\uae30\uae4c\uc9c0 \uc774\ub7ec\ud55c \ubaa8\ub378\uc740 \ubcf5\uc7a1\ud55c \ud328\ud134\uc744 \uc870\uba85\ud558\uace0 \uc138\uc0c1\uc5d0 \ub300\ud55c \uc6b0\ub9ac\uc758 \uc774\ud574\ub97c \uac1c\uc120\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>","protected":false},"featured_media":468547,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477451","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Hierarchical Bayesian Models: A Deep Dive into the World of Advanced Statistics<\/mark>","faq_items":[{"question":"What are Hierarchical Bayesian Models?","answer":"<p>Hierarchical Bayesian models, also known as multilevel models, are advanced statistical models that allow data to be analyzed at multiple levels of hierarchy simultaneously. They leverage Bayesian statistics to provide more nuanced and accurate results when dealing with complex hierarchical datasets.<\/p>"},{"question":"When were Hierarchical Bayesian Models first introduced?","answer":"<p>The concept of Bayesian statistics dates back to the 18th century, but Hierarchical Bayesian Models gained popularity much later, in the late 20th century. The seminal work discussing these models was Andrew Gelman and Jennifer Hill's book \"Data Analysis Using Regression and Multilevel\/Hierarchical Models\" published in 2007.<\/p>"},{"question":"How do Hierarchical Bayesian Models work?","answer":"<p>Hierarchical Bayesian models consist of multiple layers, each representing a different level in the hierarchy of the dataset. They include a likelihood model for the within-group relationships and prior distributions for between-group variations. These models can \"borrow strength\" across different groups to make more accurate predictions, especially in sparse data scenarios.<\/p>"},{"question":"What are some key features of Hierarchical Bayesian Models?","answer":"<p>Some key features of Hierarchical Bayesian models include their ability to handle multilevel data, incorporation of uncertainty, borrowing strength across groups, and flexibility in handling complex hierarchical structures and different types of data.<\/p>"},{"question":"What types of Hierarchical Bayesian Models exist?","answer":"<p>Various types of Hierarchical Bayesian models exist, including Linear Hierarchical Model, Generalized Linear Hierarchical Model, Nested Hierarchical Model, and Crossed Hierarchical Model. The type used depends on the structure of the hierarchical data and the nature of the outcome variable.<\/p>"},{"question":"What are the challenges in implementing Hierarchical Bayesian Models and their solutions?","answer":"<p>Implementing Hierarchical Bayesian models can be challenging due to computational intensity, convergence issues, and model specification difficulties. These challenges can be overcome by using advanced software and algorithms, diagnostic tools, and careful formulation of the model based on theoretical understanding.<\/p>"},{"question":"How do Hierarchical Bayesian Models compare to other statistical models?","answer":"<p>While Hierarchical Bayesian Models share similarities with other multilevel models like random effects models and mixed effects models, they offer advantages like modeling of uncertainty in parameter estimates and higher flexibility.<\/p>"},{"question":"How can Hierarchical Bayesian Models be used with proxy servers?","answer":"<p>Hierarchical Bayesian models could potentially be used with proxy servers for predictive analytics, network optimization, and cyber-security. They can analyze user behavior and network traffic at different levels of hierarchy to optimize server load distribution, predict network usage, and identify potential security threats.<\/p>"},{"question":"Where can I learn more about Hierarchical Bayesian Models?","answer":"<p>You can learn more about Hierarchical Bayesian models from resources like Gelman and Hill's book \"Data Analysis Using Regression and Multilevel\/Hierarchical Models\", the Hierarchical Models Course by Statistical Horizons, the Stan User's Guide, and the guide to Bayesian statistics by the Journal of Statistical Software.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki\/477451","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki\/477451\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/media\/468547"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/media?parent=477451"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}