论文标题
连续高斯过程的巨大偏差：从小噪音到小时
Large Deviations of continuous Gaussian processes: from small noise to small time
论文作者
论文摘要
我们研究了连续高斯过程的较小时间内的较大偏差行为。我们介绍了一项一般程序，从而从较小的偏差原理的上下文开始，以较小的参数从较小的参数开始，从而超出了自我相似的情况，从而在很小的时间内得出了较大的偏差原理。还对待了几个激励的例子。
We investigate the Large Deviation behavior in small time of continuous Gaussian processes. We introduce a general procedure allowing to derive Large Deviation Principles in small time starting from the well understood context of Large Deviation Principles with a small parameter, going beyond the self-similar case. Several motivating examples are also treated.
