Abstract: Wireless networks are fundamentally limited by the intensity of the received signals and by their interference. Since both of these quantities depend on the spatial location of the nodes, ...
Abstract: Matérn hard core processes of types I and II are the point processes of choice to model concurrent transmitters in CSMA networks. We determine the mean interference observed at a node of the ...
The Multi-Output Gaussian Process Toolkit is a Python toolkit for multichannel time series analysis. MOGPTK implements multioutput Gaussian process models with different covariance architectures, ...
Pilot trials have a key role in preparing for definitive randomized trials, yet determining their sample size remains a common challenge. This article provides practical guidance, methods, and ...
1 Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC 27599, USA 2 Department of Psychiatry, Washington University School of Medicine, St ...
This postgraduate degree is designed to prepare graduates in Psychology or related disciplines for a PhD, for research related careers in academic or applied psychological disciplines, or for careers ...
The analysis of spatial point patterns has greatly advanced our understanding of ecological processes. However, the methods currently available for analyzing replicated spatial point patterns (RSPPs) ...
Machine learning (ML) approaches are a collection of algorithms that attempt to extract patterns from data and to associate such patterns with discrete classes of samples in the data—e.g., given a ...
Hello! This Web page is aimed at shedding some light on the perennial R-vs.-Python debates in the Data Science community. This is largely (though not exclusively) a debate between the Statistics (R) ...
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