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pro vyhledávání: '"Gillard, Jonathan"'
Hankel low-rank approximation and completion in time series analysis and forecasting: a brief review
Autor:
Gillard, Jonathan, Usevich, Konstantin
Publikováno v:
Statistics and Its Interface, International Press, In press
In this paper we offer a review and bibliography of work on Hankel low-rank approximation and completion, with particular emphasis on how this methodology can be used for time series analysis and forecasting. We begin by describing possible formulati
Externí odkaz:
http://arxiv.org/abs/2206.05103
Autor:
Saba, Luca, Cau, Riccardo, Murgia, Alessandro, Nicolaides, Andrew N., Wintermark, Max, Castillo, Mauricio, Staub, Daniel, Kakkos, Stavros K., Yang, Qi, Paraskevas, Kosmas I., Yuan, Chun, Edjlali, Myriam, Sanfilippo, Roberto, Hendrikse, Jeroen, Johansson, Elias, Mossa-Basha, Mahmud, Balu, Niranjan, Dichgans, Martin, Saloner, David, Bos, Daniel, Jager, H. Rolf, Naylor, Ross, Faa, Gavino, Suri, Jasjit S., Costello, Justin, Auer, Dorothee P., Mcnally, J. Scott, Bonati, Leo H., Nardi, Valentina, van der Lugt, Aad, Griffin, Maura, Wasserman, Bruce A., Kooi, M. Eline, Gillard, Jonathan, Lanzino, Giuseppe, Mikhailidis, Dimitri P., Mandell, Daniel M., Benson, John C., van Dam-Nolen, Dianne H.K., Kopczak, Anna, Song, Jae W., Gupta, Ajay, DeMarco, J. Kevin, Chaturvedi, Seemant, Virmani, Renu, Hatsukami, Thomas S., Brown, Martin, Moody, Alan R., Libby, Peter, Schindler, Andreas, Saam, Tobias
Publikováno v:
In JACC: Cardiovascular Imaging January 2024 17(1):62-75
This work uses a data-driven approach to analyse how the resource requirements of patients with chronic obstructive pulmonary disease (COPD) may change, quantifying how those changes impact the hospital system with which the patients interact. This a
Externí odkaz:
http://arxiv.org/abs/2008.04295
Autor:
Zhigljavsky, Anatoly, Whitaker, Roger, Fesenko, Ivan, Kremnizer, Kobi, Noonan, Jack, Harper, Paul, Gillard, Jonathan, Woolley, Thomas, Gartner, Daniel, Grimsley, Jasmine, de Arruda, Edilson, Fedorov, Val, MBE, Tom Crick
Coronavirus COVID-19 spreads through the population mostly based on social contact. To gauge the potential for widespread contagion, to cope with associated uncertainty and to inform its mitigation, more accurate and robust modelling is centrally imp
Externí odkaz:
http://arxiv.org/abs/2004.01991
This paper presents a new way of selecting an initial solution for the k-modes algorithm that allows for a notion of mathematical fairness and a leverage of the data that the common initialisations from literature do not. The method, which utilises t
Externí odkaz:
http://arxiv.org/abs/2002.02701
In this paper we propose a novel method for learning how algorithms perform. Classically, algorithms are compared on a finite number of existing (or newly simulated) benchmark datasets based on some fixed metrics. The algorithm(s) with the smallest v
Externí odkaz:
http://arxiv.org/abs/1907.13508
Since the introduction of zero-determinant strategies, extortionate strategies have received considerable interest. While an interesting class of strategies, the definitions of extortionate strategies are algebraically rigid, apply only to memory-one
Externí odkaz:
http://arxiv.org/abs/1904.00973
Autor:
Gillard, Jonathan, Usevich, Konstantin
In this paper we consider the low-rank matrix completion problem with specific application to forecasting in time series analysis. Briefly, the low-rank matrix completion problem is the problem of imputing missing values of a matrix under a rank cons
Externí odkaz:
http://arxiv.org/abs/1802.08242
Autor:
Arnoux, Bérengère, Corcostegui, Simon-Pierre, Gillard, Jonathan, Travers, Stéphane, Boutonnet, Mathieu, Lecuyer, Thomas, Carfantan, Cyril, Luft, Antoine
Publikováno v:
In Air Medical Journal September-October 2022 41(5):473-475
Autor:
Huang, Yuan, Wang, Shuo, Luo, Tao, Du, Michael Hong-Fei, Sun, Chang, Sadat, Umar, Schönlieb, Carola-Bibiane, Gillard, Jonathan H, Zhang, Jianjun, Teng, Zhongzhao
Publikováno v:
In Journal of Biomechanics January 2022 131