Contents
0.1 mü .................................. 2
0.2 ¤!Gamma!Í .......................... 2
0.2.1 Gamma !Í")P ..................... 2
0.2.2 Gamma !Í"" ...................... 7
0.2.3 l!ë©!#Gamma ©! ................. 10
0.3 #£Beta/Dirichlet©! ....................... 13
0.3.1 $$!iZ—#£Beta ©! ................. 13
0.3.2 Beta-Binomial "› ..................... 17
0.3.3 Dirichlet-Multinomial "› ................. 21
0.3.4 Beta/Dirichlet ©!!òá#ü ............... 24
0.4 MCMC #Gibbs Sampling ...................... 24
0.4.1 ë""[ ........................... 24
0.4.2 !ºÛ9Ÿ$!©! ..................... 27
0.4.3 Markov Chain Monte Carlo ................. 31
0.4.4 Gibbs Sampling ........................ 34
0.5 ©"Ô" ............................... 37
0.5.1 Unigram Model ........................ 38
0.5.2 Topic Mod el #PLS A .................... 42
0.6 LDA ©"Ô" ............................ 44
0.6.1 iZ$" ........................... 44
0.6.2 ‘n%ß©" ......................... 46
0.6.3 Gibbs Sampling ........................ 49
0.6.4 Training and Inference .................... 52
0.7 #P .................................. 53
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