Passion is like genius; a miracle.

http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=6010 Microblog에서 Sentiment analysis를 하기위한 manually annotated lexicon.

https://en.m.wikipedia.org/wiki/Hosmer–Lemeshow_test The Hosmer–Lemeshow test is a statistical test for goodness of fit for logistic regression models. Logistic regression을 평가할 때 full model과 비교만하다보면 이런 테스트가 있다는 걸 잊기 쉽다.

https://en.m.wikipedia.org/wiki/Lindley%27s_paradox# Lindley’s paradox is a counterintuitive situation in statistics in which the Bayesian and frequentist approaches to a hypothesis testing problem give different results for certain choices of the prior distribution.

https://web.stanford.edu/~boyd/cvxbook/ http://www.youtube.com/watch?v=McLq1hEq3UY&list=PL3940DD956CDF0622 마음씨 좋은 분들이 책, 슬라이드를 공개하고 거기에 MOOC 까지 여셨군요. 이 책은 아마존 평점도 매우 높은 편이라 괜찮아 보입니다. 유튜브에도 강의가 올라와 있어 완벽하네요.

http://www.cs.berkeley.edu/~bartlett/courses/2009fall-cs281a/slides22.pdf Semiconjugate prior 찾다가 발견한 문서인데 monte carlo 에대해 정리가 잘 되어있어 올려둡니다.

https://communities.sas.com/t5/SAS-Statistical-Procedures/PROC-LOGISTIC-vs-PROC-GENMOD-different-results/td-p/27599 추정된 계수가 서로 다르게 나온다는 점에 유의.

http://ais.informatik.uni-freiburg.de/teaching/ss11/seminar_pgm/pgm-basics.pdf Factor graphs, Undirected graphs / Markov networks, Directed graphs / Bayesian networks 에 대한 쉬운 설명이 되어 있습니다.

https://www.quora.com/What-is-Least-Angle-Regression-and-when-should-it-be-used LARS, then, is essentially forward stagewise made fast. Instead of making tiny hops in the direction of one variable at a time, LARS makes optimally-sized leaps in optimal directions. These directions are chosen to make equal angles (equal correlations) with each of the variables currently in our model.

Philosophy and the practice of Bayesian statistics 베이지안 통계는 사후확률로 모델을 서로 비교하는 귀납적 추론이 아니라 모델 검토를 통해 모델 확장 및 변경을 수행하는 가설연역법이다.

https://en.m.wikipedia.org/wiki/Hypothetico-deductive_model The hypothetico-deductive model or method is a proposed description of scientific method. According to it, scientific inquiry proceeds by formulating a hypothesis in a form that could conceivably be falsified by a test on observable data. A test that could and does run contrary to predictions of the hypothesis is taken as a falsification…