| fdapace: Functional data analysis and empirical dynamics C Carroll, A Gajardo, Y Chen, X Dai, J Fan, PZ Hadjipantelis, K Han, H Ji, ... R package version 0.5 4, 2020 | 90 | 2020 |
| Unifying amplitude and phase analysis: A compositional data approach to functional multivariate mixed-effects modeling of Mandarin Chinese PZ Hadjipantelis, JAD Aston, HG Müller, JP Evans Journal of the American Statistical Association 110 (510), 545-559, 2015 | 48 | 2015 |
| The statistical analysis of acoustic phonetic data: exploring differences between spoken Romance languages D Pigoli, PZ Hadjipantelis, JS Coleman, JAD Aston Journal of the Royal Statistical Society Series C: Applied Statistics 67 (5 …, 2018 | 46* | 2018 |
| Longitudinal associations between white matter maturation and cognitive development across early childhood X Dai, P Hadjipantelis, JL Wang, SCL Deoni, HG Müller Human brain mapping 40 (14), 4130-4145, 2019 | 34 | 2019 |
| Functional principal component analysis for identifying multivariate patterns and archetypes of growth, and their association with long-term cognitive development K Han, PZ Hadjipantelis, JL Wang, MS Kramer, S Yang, RM Martin, ... PloS one 13 (11), e0207073, 2018 | 29 | 2018 |
| Characterizing fundamental frequency in Mandarin: A functional principal component approach utilizing mixed effect models PZ Hadjipantelis, JAD Aston, JP Evans The Journal of the Acoustical Society of America 131 (6), 4651-4664, 2012 | 29 | 2012 |
| fdapace: Functional data analysis and empirical dynamics X Dai, PZ Hadjipantelis, H Ji, HG Mueller, JL Wang R package version 0.3. 0, 2017 | 26 | 2017 |
| Function-valued traits in evolution PZ Hadjipantelis, NS Jones, J Moriarty, DA Springate, CG Knight Journal of The Royal Society Interface 10 (82), 20121032, 2013 | 24 | 2013 |
| Functional data analysis for big data: A case study on california temperature trends PZ Hadjipantelis, HG Müller Handbook of big data analytics, 457-483, 2018 | 16 | 2018 |
| Analysis of spike train data: A multivariate mixed effects model for phase and amplitude PZ Hadjipantelis, JAD Aston, HG Müller, J Moriarty | 15 | 2014 |
| Semi-parametric joint modeling of survival and longitudinal data: the r package JSM C Xu, PZ Hadjipantelis, JL Wang Journal of Statistical Software 93, 1-29, 2020 | 14 | 2020 |
| fdapace: Functional data analysis and empirical dynamics, 2020 C Carroll, A Gajardo, Y Chen, X Dai, J Fan, PZ Hadjipantelis, K Han, H Ji, ... R package version 0.5 3, 0 | 12 | |
| fdapace: Functional data analysis and empirical dynamics. R package version 0.4. 0 X Dai, PZ Hadjipantelis, H Ji, HG Mueller, JL Wang Vienna, Austria: R Foundation for Statistical Computing, 2017 | 11 | 2017 |
| fdapace: Functional Data Analysis and Empirical Dynamics, 2022 Y Zhou, S Bhattacharjee, C Carroll, Y Chen, X Dai, J Fan, A Gajardo, ... URL https://CRAN. R-project. org/package= fdapace. R package version 0.5 9, 0 | 8 | |
| fdapace: Functional Data Analysis and Empirical Dynamics, 2021 A Gajardo, S Bhattacharjee, C Carroll, Y Chen, X Dai, J Fan, ... URL https://CRAN. R-project. org/package= fdapace. R package version 0.5 9, 1, 0 | 5 | |
| Functional data analysis in phonetics PZ Hadjipantelis University of Warwick, 2013 | 3 | 2013 |
| Wang, J C Carroll, A Gajardo, Y Chen, X Dai, J Fan, PZ Hadjipantelis, K Han, H Ji, ... L. fdapace: Functional Data Analysis and Empirical Dynamics, 2021 | 2 | 2021 |
| Sparse functional data analysis accounts for missing information in single-cell epigenomics P Madrigal, X Dai, PZ Hadjipantelis bioRxiv, 504365, 2018 | 2 | 2018 |
| Ancestral inference from functional data: statistical methods and numerical examples PZ Hadjipantelis, NS Jones, J Moriarty, D Springate, CG Knight arXiv preprint arXiv:1208.0628, 2012 | 2 | 2012 |
| Diversity of symptom phenotypes in SARS-CoV-2 community infections observed in multiple large datasets M Fyles, KD Vihta, CH Sudre, H Long, R Das, C Jay, T Wingfield, ... Scientific reports 13 (1), 21705, 2023 | 1 | 2023 |
