Zobrazeno 1 - 10
of 3 016
pro vyhledávání: '"Hens, P."'
Upholding data privacy especially in medical research has become tantamount to facing difficulties in accessing individual-level patient data. Estimating mixed effects binary logistic regression models involving data from multiple data providers like
Externí odkaz:
http://arxiv.org/abs/2411.04002
Autor:
Bai, Rukmani, Chatterjee, Sourin, Shekhar, Ujjwal, Deshpande, Abhishek, Bhattacharyya, Sirshendu, Hens, Chittaranjan
We present the emergence of topological phase transition in the minimal model of two dimensional rock-paper-scissors cycle in the form of a doublet chain. The evolutionary dynamics of the doublet chain is obtained by solving the anti-symmetric Lotka-
Externí odkaz:
http://arxiv.org/abs/2410.07227
Autor:
Mylavarapu, Ganesh, Ghosh, Subrata, Hens, Chittaranjan, Chakrabarty, Indranil, Mitra, Subhadip
We show that the average of the maximum teleportation fidelities between all pairs of nodes in a large quantum repeater network is a measure of the resourcefulness of the network as a whole. We use simple Werner state-based models to characterise som
Externí odkaz:
http://arxiv.org/abs/2409.20304
We study algorithms to analyze a particular class of Markov population processes that is often used in epidemiology. More specifically, Markov binomial chains are the model that arises from stochastic time-discretizations of classical compartmental m
Externí odkaz:
http://arxiv.org/abs/2408.04902
In medical research, individual-level patient data provide invaluable information, but the patients' right to confidentiality remains of utmost priority. This poses a huge challenge when estimating statistical models such as linear mixed models, whic
Externí odkaz:
http://arxiv.org/abs/2407.20796
Publikováno v:
Discrete Applied Mathematics, 355(2024)96
In this paper, we propose a network whose nodes are labeled by the composite numbers and two nodes are connected by an undirected link if they are relatively prime to each other. As the size of the network increases, the network will be connected whe
Externí odkaz:
http://arxiv.org/abs/2407.14149
Autor:
Hens, Freek, Dehshibi, Mohammad Mahdi, Bagheriye, Leila, Shahsavari, Mahyar, Tajadura-Jiménez, Ana
This paper presents the first application of spiking neural networks (SNNs) for the classification of chronic lower back pain (CLBP) using the EmoPain dataset. Our work has two main contributions. We introduce Spike Threshold Adaptive Learning (STAL)
Externí odkaz:
http://arxiv.org/abs/2407.08362
Kriging is an established methodology for predicting spatial data in geostatistics. Current kriging techniques can handle linear dependencies on spatially referenced covariates. Although splines have shown promise in capturing nonlinear dependencies
Externí odkaz:
http://arxiv.org/abs/2407.05854
We investigate the phenomenon of transition to synchronization in Sakaguchi-Kuramoto model in the presence of higher-order interactions and global order parameter adaptation. The investigation is done by performing extensive numerical simulations and
Externí odkaz:
http://arxiv.org/abs/2406.04701
Random effect models for time-to-event data, also known as frailty models, provide a conceptually appealing way of quantifying association between survival times and of representing heterogeneities resulting from factors which may be difficult or imp
Externí odkaz:
http://arxiv.org/abs/2406.00804