Browsing Mathematics by Title
Now showing items 78-97 of 1455
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BALANCED ROUTING OF RANDOM CALLS
(2015-06) -
Balancing the book: Is it necessary and sufficient?
(2017-12-16) -
Bayesian calibration and number of jump components in electricity spot price models
(Elsevier, 2017-05-03)Abstract We find empirical evidence that mean-reverting jump processes are not statistically adequate to model electricity spot price spikes but independent, signed sums of such processes are statistically adequate. Further ... -
Bayesian mixed-frequency quantile vector autoregression: Eliciting tail risks of monthly US GDP
(2023-12-01)Timely characterizations of risks in economic and financial systems play an essential role in both economic policy and private sector decisions. However, the informational content of low-frequency variables and the results ... -
Bayesian mode and maximum estimation and accelerated rates of contraction
We study the problem of estimating the mode and maximum of an unknown regression function in the presence of noise. We adopt the Bayesian approach by using tensor-product B-splines and endowing the coefficients with Gaussian ... -
Benchmarking the performance of controllers for power grid transient stability
(Elsevier, 2019)As the energy transition transforms power grids across the globe, it poses several challenges regarding grid design and control. In particular, high levels of intermittent renewable generation complicate the task of ... -
Better Guarantees for $k$-Means and Euclidean $k$-Median by Primal-Dual Algorithms
(Society for Industrial and Applied Mathematics, 2020-01-01)Clustering is a classic topic in optimization with $k$-means being one of the most fundamental such problems. In the absence of any restrictions on the input, the best-known algorithm for $k$-means in Euclidean space with ... -
Better Guarantees for k-Means and Euclidean k-Median by Primal-Dual Algorithms
(IEEE Computer Society, 2017-11-13) -
Beyond COVID-19: Network science and sustainable exit strategies
(IOP Publishers, 2020)On May $28^{th}$ and $29^{th}$, a two day workshop was held virtually, facilitated by the Beyond Center at ASU and Moogsoft Inc. The aim was to bring together leading scientists with an interest in Network Science and ... -
Beyond pairwise network similarity: exploring Mediation and Suppression between networks
(2021)Network similarity measures quantify how and when two networks are symmetrically related, including measures of statistical association such as pairwise distance or other correlation measures between networks or between ... -
Beyond the clustering coefficient: A topological analysis of node neighbourhoods in complex networks
(Elsevier, 2019)In Network Science node neighbourhoods, also called ego-centered networks have attracted large attention. In particular the clustering coefficient has been extensively used to measure their local cohesiveness. In this ... -
Bifractality of fractal scale-free networks
(American Physical Society, 2023-08)