Slash distributions offer a flexible framework for modelling heavy-tailed phenomena and atypical data behaviour in statistical inference. Originating as a means to construct distributions with high ...

We investigate the behavior of Fourier transforms for a wide class of nonstationary nonlinear processes. Asymptotic central and noncentral limit theorems are established for a class of nondegenerate ...

Introduces exploratory data analysis, probability theory, statistical inference, and data modeling. Topics include discrete and continuous probability distributions, expectation, laws of large numbers ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

Respondent-driven sampling is a form of link-tracing network sampling, which is widely used to study hard-to-reach populations, often to estimate population proportions. Previous treatments of this ...

The open-source software giant Red Hat Inc. is strengthening the case for its platforms to become the foundation of enterprises’ artificial intelligence systems with a host of new features announced ...

Confidence intervals are computed from a random sample and therefore they are also random. The long run behavior of a 95% confidence interval is such that we’d expect 95% of the confidence intervals ...

Anyone can make a theory or a claim about anything but the important thing is can you provide real world evidence to back up and support that claim and that really is where Statistics comes into its ...