Stochastic 是 random + unpredictable 的含义，也就是说是包含了随机性和不可预测性。

物理random——每一个时间的几率是相同的，比如抛硬币

数学Stochastic——每一个事件的几率是不同的，比如明天的天气，90%晴天，10%阴天。

With random process, the same probability is assigned to all outcomes because each outcome has an equal chance of occurring. Typical examples of random processes include drawing a card from a deck, rolling a die, or tossing a coin. In a geographic context, an ornithologist might develop a GIS model to predict breeding bird occupancy within a wildlife refuge by assigning all nesting locations an equal random probability for occupancy.

对于随机过程，所有结果的概率相同，因为每个结果发生的概率相等。随机过程的典型例子包括从一副牌中抽出一张牌，滚动一个模具，或投掷一枚硬币。在地理环境中，鸟类学家可能会开发一个GIS模型，通过为所有筑巢位置分配相等的随机占用概率来预测野生动物保护区内繁殖鸟类的占用率。

With stochastic process, the likelihood or probability of any particular outcome can be specified and not all outcomes are equally likely of occurring. For example, an ornithologist may assign a greater probability that a bird will select a nesting location based on how far it is from the edge of the refuge or whether the location is shielded by a dense tree canopy.

在随机过程中，可以指定任何特定结果的可能性或概率，但并非所有结果都具有相同的发生可能性。例如，鸟类学家可能会根据离避难所边缘的距离或该位置是否被茂密的树冠遮挡，来确定鸟类选择筑巢位置的可能性更大。