Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Pantelis Z. Hadjipantelis"'
Publikováno v:
Journal of Statistical Software, Vol 93, Iss 1, Pp 1-29 (2020)
This paper is devoted to the R package JSM which performs joint statistical modeling of survival and longitudinal data. In biomedical studies it has been increasingly common to collect both baseline and longitudinal covariates along with a possibly c
Externí odkaz:
https://doaj.org/article/f25eb0823afe4d6d861de95ff49d989c
Publikováno v:
Journal of Statistical Software, Vol 93, Iss 1, Pp 1-29 (2020)
Journal of Statistical Software; Vol 93 (2020); 1-29
Journal of Statistical Software; Vol 93 (2020); 1-29
This paper is devoted to the R package JSM which performs joint statistical modeling of survival and longitudinal data. In biomedical studies it has been increasingly common to collect both baseline and longitudinal covariates along with a possibly c
Single-cell epigenome assays produce sparsely sampled data, leading to coverage pooling across cells to increase resolution. Imputation of missing data using deep learning is available but requires intensive computation, and it has been applied only
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f6f231a2eb60f263052b0da5db2b4c5
Publikováno v:
Pigoli, D, Hadjipantelis, P Z, Coleman, J S & Aston, J A D 2018, ' The statistical analysis of acoustic phonetic data : exploring differences between spoken Romance languages. ', Journal of the Royal Statistical Society: Series C (Applied Statistics), vol. 67, no. 5, pp. 1103–1145 . https://doi.org/10.1111/rssc.12258
Summary The historical and geographical spread from older to more modern languages has long been studied by examining textual changes and in terms of changes in phonetic transcriptions. However, it is more difficult to analyse language change from an
Publikováno v:
Human Brain Mapping
From birth to 5 years of age, brain structure matures and evolves alongside emerging cognitive and behavioral abilities. In relating concurrent cognitive functioning and measures of brain structure, a major challenge that has impeded prior investigat
Autor:
Kyunghee, Han, Pantelis Z, Hadjipantelis, Jane-Ling, Wang, Michael S, Kramer, Seungmi, Yang, Richard M, Martin, Hans-Georg, Müller
Publikováno v:
PLoS ONE
For longitudinal studies with multivariate observations, we propose statistical methods to identify clusters of archetypal subjects by using techniques from functional data analysis and to relate longitudinal patterns to outcomes. We demonstrate how
Publikováno v:
Handbook of Big Data Analytics ISBN: 9783319182834
In recent years, detailed historical records, remote sensing, genomics and medical imaging applications as well as the rise of the Internet-of-Things present novel data streams. Many of these data are instances where functions are more suitable data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54b66e02d39aba1c4e937be8898121aa
https://doi.org/10.1007/978-3-319-18284-1_18
https://doi.org/10.1007/978-3-319-18284-1_18
Publikováno v:
Electron. J. Statist. 8, no. 2 (2014), 1797-1807
This discussion of the spike train data applies the approach of Hadjipantelis et al. developed for Linguistic data to jointly model both the phase and amplitude functions via a mixed effects model. The approach shows that care needs to be taken when
Autor:
John Moriarty, Nick S. Jones, Pantelis Z. Hadjipantelis, Christopher Knight, David A. Springate
Publikováno v:
Journal of the Royal Society Interface
Hadjipantelis, P Z, Jones, N S, Moriarty, J, Springate, D A & Knight, C G 2013, ' Function-valued traits in evolution ', Journal of the Royal Society. Interface, vol. 10, no. 82 . https://doi.org/10.1098/rsif.2012.1032
Hadjipantelis, P Z, Jones, N S, Moriarty, J, Springate, D A & Knight, C G 2013, ' Function-valued traits in evolution ', Journal of the Royal Society. Interface, vol. 10, no. 82 . https://doi.org/10.1098/rsif.2012.1032
Many biological characteristics of evolutionary interest are not scalar variables but continuous functions. Given a dataset of function-valued traits generated by evolution, we develop a practical, statistical approach to infer ancestral function-val