The First Innsbruck Modelling Week in Applied Mathematics is organized by the Department of Mathematics and the Unit of Engineering Mathematics, University of Innsbruck. It takes place at the ...

Understanding how functional connectivity between cortical neurons varies with spatial distance is crucial for characterizing large-scale neural dynamics. However, inferring these spatial patterns is ...

Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...

Abstract: In this correspondence, we develop an algorithm for maximum likelihood (ML) source localization using received signal strength (RSS) measurements. Unlike the conventional methods that resort ...

Idaho is one step closer to becoming the first state to use a firing squad as its primary execution method, months ahead of the start of college murder suspect Bryan Kohberger's trial. So far, only ...

Abstract: In this manuscript a novel computationally efficient method for implementing the Deter- ministic Maximum Likelihood estimator of multiple superimposed real sinusoids is derived. This method ...

Introduction: DNA methylation, specifically the formation of 5-methylcytosine at the C5 position of cytosine, undergoes reproducible changes as organisms age, establishing it as a significant ...

ABSTRACT: A robust parameter identification method based on Kiencke model was proposed to solve the problem of the parameter identification accuracy being affected by the rail environment change and ...

ABSTRACT: Asymptotic results are obtained using an approach based on limit theorem results obtained for α-mixing sequences for the class of general spacings (GSP) methods which include the maximum ...