PyEMMA (EMMA = Emma's Markov Model Algorithms) is an open source Python/C package for analysis of extensive molecular dynamics simulations. In particular, it includes algorithms for estimation, ...

最近我们被客户要求撰写关于马尔可夫转换模型的研究报告，包括一些图形和统计输出。 假设 有时间序列数据，如下所示。经验表明，目标变量y似乎与解释变量x有关。然而，乍一看，y在水平中间波动，所以它似乎并不总是有稳定的关系（背后有多个状态 ...

Markov chains are stochastic models that predict future events based solely on the current state. They are referred to as 'Memoryless' due to their independence from previous states. Applications of ...

A Hidden Markov Model (HMM) is a statistical model which is also used in machine learning. It can be used to describe the evolution of observable events that depend on internal factors, which are not ...

Department of Chemistry, State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Kowloon, Hong Kong Department of Chemical and Biological Engineering, The ...

Molecular simulations of proteins are often interpreted using Markov state models (MSMs), in which each protein configuration is assigned to a global state. As we explore larger and more complex ...

The rapid development of wind energy has brought a lot of uncertainty to the power system. The accurate ultra-short-term wind power prediction is the key issue to ensure the stable and economical ...