Ontology highlight
ABSTRACT:
SUBMITTER: Shinohara S
PROVIDER: S-EPMC7244155 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Shinohara Shuji S Manome Nobuhito N Suzuki Kouta K Chung Ung-Il UI Takahashi Tatsuji T Okamoto Hiroshi H Gunji Yukio Pegio YP Nakajima Yoshihiro Y Mitsuyoshi Shunji S
PloS one 20200522 5
Bayesian inference is the process of narrowing down the hypotheses (causes) to the one that best explains the observational data (effects). To accurately estimate a cause, a considerable amount of data is required to be observed for as long as possible. However, the object of inference is not always constant. In this case, a method such as exponential moving average (EMA) with a discounting rate is used to improve the ability to respond to a sudden change; it is also necessary to increase the di ...[more]