The forward prediction problem for a binary time series$\{X_n\}_{n=0}^{\infty}$ is to estimate the probability that $X_{n+1}=1$ basedon the observations $X_i$, $0\le i\le n$ without prior knowledge of thedistribution of the process $\{X_n\}$. It is known that this is not possible ifone estimates at all values of $n$. We present a simple procedure which willattempt to make such a prediction infinitely often at carefully selectedstopping times chosen by the algorithm. The growth rate of the stopping timesis also exhibited.
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机译:二进制时间序列$ \ {X_n \} _ {n = 0} ^ {\ infty} $的正向预测问题是根据观测值$ X_i $估算$ X_ {n + 1} = 1 $的概率, $ 0 \ le i \ le n $,而无需事先知道进程$ \ {X_n \} $的分布。众所周知,如果有人估计$ n $的所有值,这是不可能的。我们提出了一个简单的程序,该程序将经常在算法选择的精心选择的停止时间尝试无限地做出这样的预测。还显示了停止时间的增长率。
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