목록분류 전체보기 (234)
Convex Optimization Lecture
https://www.stat.cmu.edu/~ryantibs/convexopt-F16/ Convex OptimizationMachine Learning 10-725 (cross-listed as Statistics 36-725) Instructors: Javier Peña (jfp at andrew dot cmu dot edu) Ryan Tibshirani (ryantibs at cmu dot edu) TAs: Alnur Ali (alnurali at cmu dot edu) Christoph Dann (cdann at cmu dot edu) Sangwon Hyun (shywww.stat.cmu.edu
Copula Model
https://swayer-kim.readthedocs.io/en/latest/00%20This%20and%20That/01_Copula/
Bayesian Nonparametrics: Dirichlet Processes
Nonparametric Bayesian Models and Dirichlet Processhttps://people.cs.pitt.edu/~huynv/talks/Dirichlet.pdf Bayesian Nonparametrics: Dirichlet Processeshttps://www.cs.cmu.edu/~epxing/Class/10708-14/scribe_notes/scribe_note_lecture19.pdf Nonparametric Bayesian Methodshttps://www.stat.cmu.edu/~larry/=sml/nonparbayes.pdf Dirichlet Processes A gentle tutorialhttps://www.cs.cmu.edu/~kbe/dp_tutorial.pdf
Nonparametric Bayesian
https://bayestour.github.io/blog/2019/07/04/npb.html Nonparametric Bayesian 이란?이번 포스트에서는 Nonparametric Bayesian 이 무엇인지 원리적인 부분에 대해 소개하고자 합니다. Nonparametric Bayesian 은 이름에서 볼 수 있듯이 두 통계학 용어를 섞어 놓은 분야입니다. 요약하면 Bayesiabayestour.github.io Nonparametric bayesian noteshttp://www.gatsby.ucl.ac.uk/~porbanz/papers/porbanz_BNP_draft.pdf https://youtu.be/U8xLnKPTNtM?si=peLB2S4ujaUEtkp7 Multinomial dist..
