Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data block is basically a random sample from a stationary distribution, but many databases available violate this assumption. That is, the class of an instance may change over time, known as concept drift. In this paper, we propose a S...

In this article, we introduce the command bsrwalkdrift, which is primarily intended to perform a bootstrap unit-root test under null hypothesis of random walk with drift. The method implemented in considerably more precise than corresponding case conventional augmented Dickey–Fuller test, can be inaccurate when true value drift term small relative standard deviation innovations. also has an opt...

We investigate the free energy of nearest-neighbor random walks on Z d , endowed with a drift along the first axis and evolving in a nonnegative random potential given by i.i.d. random variables. Our main result concerns the ballistic regime in dimensions d ≥ 4, at which we show that quenched and annealed Lyapunov exponents are equal as soon as the strength of the potential is small enough.

For quantitative study of the sort of random drift due to inbreeding it is de sirable to experiment with segregating genotypes that can be classified without risk of error and with populations that are all of a very small definitely known size. With respect to the first condition, it is much the most satisfactory if all segregat ing genotypes can be distinguished ac curately. This, however, lim...