Category: timeseries

Time series, multimodal, mixture model, variational methods

I wish to solve multimodal distribution optimization in two stage approach. Example usecase is newsvendor problem; order quantity should be optimized for the multimodal-shaped demand due to its…

mean field variational bayes adversarial for improvement

no theoretical guarantee for accurate results (Wang18) marginal variances of the parameters are often underestimated (Turner11) Turner11 introduce two problems in applying vEM to time series compactness– separated…

prophet trend change: sampling and inference

codes are in https://colab.research.google.com/drive/1ssFzcGmUi8xsPWuT3ZrIaA4ZC7Z_k2zE dir(test_prophet) : returns all functions within an module

190423 Learning From Data Gold Price Forecasting

hmm은 다음과 같은 과정 sample -(decoding)-> state -(trans mat)-> next_state -(encoding)-> next_sample 환율과 원자재 데이터로 금값 예측 (1) 다음과 같은 단계로 진행예정 (https://dashboardstream.com/the-6-steps-in-business-forecasting/참고함)   indentify the problem  …

Time Series Forecasting with Stan – Prophet

Stan allows us to rapidly prototype a model without worrying about how we will fit it to data.  Prophet is just the first example of scaling a statistical…

STEM-GLEAP Academic Exchange

Forecasting in Business Molecular Representation and Machine Learning for Inverse Molecular Design