Zobrazeno 1 - 10
of 1 929
pro vyhledávání: '"Nyquist P"'
Autor:
Milinanni, Federica, Nyquist, Pierre
With an aim to analyse the performance of Markov chain Monte Carlo (MCMC) methods, in our recent work we derive a large deviation principle (LDP) for the empirical measures of Metropolis-Hastings (MH) chains on a continuous state space. One of the (s
Externí odkaz:
http://arxiv.org/abs/2403.08691
Information theoretic quantities play a central role in machine learning. The recent surge in the complexity of data and models has increased the demand for accurate estimation of these quantities. However, as the dimension grows the estimation prese
Externí odkaz:
http://arxiv.org/abs/2402.05718
Contrastive dimension reduction methods have been developed for case-control study data to identify variation that is enriched in the foreground (case) data X relative to the background (control) data Y. Here, we develop contrastive regression for th
Externí odkaz:
http://arxiv.org/abs/2401.03106
Autor:
Kramer, Andrei, Milinanni, Federica, Nyquist, Pierre, Jauhiainen, Alexandra, Eriksson, Olivia
We present an R-package developed for modeling of biochemical reaction networks, uncertainty quantification (UQ) and sensitivity analysis (SA). Estimating parameters and quantifying their uncertainty (and resulting prediction uncertainty), is require
Externí odkaz:
http://arxiv.org/abs/2308.05527
Autor:
Milinanni, Federica, Nyquist, Pierre
To sample from a given target distribution, Markov chain Monte Carlo (MCMC) sampling relies on constructing an ergodic Markov chain with the target distribution as its invariant measure. For any MCMC method, an important question is how to evaluate i
Externí odkaz:
http://arxiv.org/abs/2304.02775
Publikováno v:
Vascular Health and Risk Management, Vol 2012, Iss default, Pp 549-561 (2012)
Atul Ashok Kalanuria,1 Paul Nyquist,1 Geoffrey Ling1,21Division of Neuro Critical Care, Department of Anesthesiology and Critical Care Medicine, The Johns Hopkins University School of Medicine, Baltimore, 2Department of Neurology, Uniformed Services
Externí odkaz:
https://doaj.org/article/a2b6f73f91c74ff2ad472f23f59e164f
Autor:
Pierini, Lorenzo, Astone, Pia, Palomba, Cristiano, Nyquist, Aidan, Dall'Osso, Simone, D'Antonio, Sabrina, Frasca, Sergio, La Rosa, Iuri, Leaci, Paola, Muciaccia, Federico, Piccinni, Ornella J., Rei, Luca
Publikováno v:
Physical Review D 106 (2022) 042009
In this paper we present a study of some relevant steps of the hierarchical frequency-Hough (FH) pipeline, used within the LIGO and Virgo Collaborations for wide-parameter space searches of continuous gravitational waves (CWs) emitted, for instance,
Externí odkaz:
http://arxiv.org/abs/2209.09071
Autor:
Nilsson, Viktor, Nyquist, Pierre
Finding equilibria points in continuous minimax games has become a key problem within machine learning, in part due to its connection to the training of generative adversarial networks. Because of existence and robustness issues, recent developments
Externí odkaz:
http://arxiv.org/abs/2206.15177
Autor:
Rakel Eklund, Lisa Hjelmfors, Sophia Nyquist, Josefin Sveen, Michael Hultström, Miklos Lipcsey, Robert Frithiof, Ewa Wallin, Ing-Marie Larsson, Filip K. Arnberg, Lotti Orwelius
Publikováno v:
International Journal of Qualitative Studies on Health & Well-Being, Vol 19, Iss 1 (2024)
Purpose To examine patients’ experiences of receiving care on an ICU for COVID-19 and the subsequent rehabilitation process. Methods An explorative and inductive design was used. Participants were recruited from two university hospitals in Sweden.
Externí odkaz:
https://doaj.org/article/cd64c4983357429080a1663e11a71330
Autor:
Elliott M. Sina, Daniel J. Campbell, Alexander Duffy, Shreya Mandloi, Peter Benedict, Douglas Farquhar, Aykut Unsal, Gurston Nyquist
Publikováno v:
OTO Open, Vol 8, Iss 3, Pp n/a-n/a (2024)
Abstract Objective While most patients with COVID‐19‐induced olfactory dysfunction (OD) recover spontaneously, those with persistent OD face significant physical and psychological sequelae. ChatGPT, an artificial intelligence chatbot, has grown a
Externí odkaz:
https://doaj.org/article/daaa1370beb54e3ea049c04634301108