Trunk evaluated error rates for the Bayes decision rule, applied as a function of n, when the variance is assumed known but the class means are estimated based on a finite data set.
First, it is a finite horizon model, where all data is available at the server (in advance) for coding.
A sampling occasion is a finite period of time during which data are collected, e.g., a survey day, but in studies of marine mammals sampling occasions are often taken to be longer, e.g., a season.
It is scary, of course, to think that the mystery of our identities might be reducible to finite data sequences.
The channel is of finite data rate and connects the measurement sensor to the controller.
Like the BLUE and UFIR, the MLE is suboptimal for finite data.
In this paper the bounds are determined from finite data for specified types of sets useful for robust control design.
First, it is not clear whether BI using a Bayesian decision rule is significantly biased when finite data are analyzed, when the true tree is resolved, or when sequences generated under realistic conditions are analyzed.
Moreover, the resulting BF is independent of the measurement scale of the dependent variable, is always finite for finite data, and is consistent in the sense that as sample size increases, BF grows to infinity if the null is false and shrinks to zero if it is true a consistency that does not obtain for p values.
As OBDDs, which are closely related to deterministic finite automata, are a well-known data structure for Boolean functions, OBDD-based algorithms are used as a heuristic approach to handle very large graphs.
