Category: BayesianPage 6 of 7
Introduction Probability Generative models for discrete data Gaussian models Bayesian statistics Frequentist statistics Linear regression Logistic regression Generalized linear models and the exponential family Directed graphical models (Bayes…
What is the difference between Bayesian Model Averaging and Ensemble (model combination methods)? -Question from [Forecasting in Business in Talks] Let’s see the difference with the example: density estimation…
Introduction example: polynomial curve fitting probability theory model selection the curse of dimensionality decision theory information theory Probability Distribution binary variables multinomial variables the gaussian distribution the exponential…
Forecasting in Business Molecular Representation and Machine Learning for Inverse Molecular Design
https://github.com/hyunjimoon/2018_2_STEM_TechSquare Title: Bayesian in Machine Learning: Probabilistic Programming with Stan
https://en.wikipedia.org/wiki/Approximate_Bayesian_computation
베이지안 추론의 철학 서론 베이지안 프레임워크 확률분포 이산적인 경우 연속적인 경우 lambda란 무엇인가 컴퓨터를 사용하여 베이지안 추론하기 예제: 문자 메시지 데이터에서 행동 추론하기 PyMC 해석 사후확률분포에서 얻은 표본에는…
https://en.wikipedia.org/wiki/Empirical_Bayes_method prior distribution is estimated from the data 데이터로부터 추정되는 사전분포 standard Bayesian methods : prior distribution is fixed before any data are observed 표준 베이즈 방법에서는 데이터를 관찰하기 전에…
Stan meeting 참석하여 StanKorea 소개 2019년 1월 17일, Columbia 대학교에서 열린 Stan meeting에 StanKorea 운영진이 참석하여 <2018년 활동> 1.페이스북 그룹 생성 2.공우 테크스퀘어(Bayesian data analysis with Stan) 진행…
회귀(Regression), 그 중에서도 선형 회귀 (Linear regression): 가장 간단한 모델이며 다음 세 특성 가짐 model of mean, variance of normally distributed measure mean as additive combination of weighted…