Also, some general aspects of hypothesis testing and statistical inference are discussed.

In general, model selection is an important prelude to subsequent statistical inference.

Our method is especially appealing for statistical inference in these complex setups.

Conducting genetic pathway analysis and statistical inference in such settings is challenging.

Nonstationary FWHM and its effect on statistical inference of fMRI data.

What the part can tell us about the whole is the subject of statistical inference.

His research interests included consumer demand, utility, risk, econometric theory, statistical inference and extreme value theory.

A numerical efficient way to perform both the estimation as well as the statistical inference will be presented.

Recent tools from population pharmacokinetics, Bayesian statistical inference, and physiological modeling can be brought together to solve these problems.

Because of the complex dependence structure inherent in networks, missing data can pose very difficult problems for valid statistical inference.

When methods from probability theory and mathematical statistics are directly applied in this procedure it is also called statistical inference.

We demonstrated rigorous statistical inference, established reproducibility through simulations and the ability to recover receptor status from available microarray data.

Mathematical model-based statistical inference applied to within-host dynamics of infectious diseases can help dissect complex interactions between hosts and microbes.

Meta-analysis was performed using Bayesian statistical inference and reported using Meta-analysis of Observational Studies in Epidemiology (MOOSE) guideline.

In a massively univariate analysis of brain image data, statistical inference is typically based on intensity or spatial extent of signals.

Specifically, the integration of self-organizing map (SOM) and singular value decomposition allows genome-wide selection on sound foundations of statistical inference.