In this paper, we propose a simple and straightforward algorithm for neural spike sorting. The algorithm is based on the observation that the distribution of a neural signal largely deviates from the uniform distribution and is rather unimodal. The detected spikes to be sorted are first processed with some feature extraction technique, such as PCA, and then represented in a space with reduced d...

One approach to limiting disclosure risk in public-use microdata is to release multiply-imputed, partially synthetic data sets. These are data on actual respondents, but with con…dential data replaced by multiply-imputed synthetic values. A mis-speci…ed imputation model can invalidate inferences because the distribution of synthetic data is completely determined by the model used to generate th...

Digital watermarks are usually embedded in the still images’ frequency domain. The DWT/DCT coefficients are usually modelled by the Generalized Gaussian Distribution, while the DFT coefficients are modelled by the Weibull Distribution. The idea of this paper is to use statistical properties of the host signal. The watermark is embedded through the modification of the distribution of host signal...

One approach to limiting disclosure risk in public-use microdata is to release multiply-imputed, partially synthetic data sets. These are data on actual respondents, but with con…dential data replaced by multiply-imputed synthetic values. A mis-speci…ed imputation model can invalidate inferences based on the partially synthetic data, because the imputation model determines the distribution of s...

In the paper D.Hoover, J. Keisler : Adapted probability distributions, Trans. Amer. Math. Soc. 286 (1984), 159–201 the notion of adapted distribution of two stochastic processes was introduced, which in a way represents the notion of equivalence of those processes. This very important property is hard to prove directly, so we continue the work of Keisler and Hoover in finding sufficient conditi...

The negative binomial distribution has become increasingly popular as a more flexible alternative to Poisson distribution, especially when it is questionable whether the strict requirements for Poisson distribution could be satisfied. But negative binomial distribution is better for overdispersed count data that are not necessarily heavy-tailed, for heavy tailed count data the traditional stati...