| isocir: an R package for constrained inference using isotonic regression for circular data, with an application to cell biology S Barragán, MA Fernández, C Rueda, SD Peddada Journal of Statistical Software 54 (4), 2013 | 18 | 2013 |
| Circular piecewise regression with applications to cell‐cycle data C Rueda, MA Fernández, S Barragán, KV Mardia, SD Peddada Biometrics 72 (4), 1266-1274, 2016 | 12 | 2016 |
| An end-to-end statistical process with mobile network data for official statistics D Salgado, L Sanguiao, B Oancea, S Barragán, M Necula EPJ Data Science 10 (1), 20, 2021 | 10 | 2021 |
| Determination of temporal order among the components of an oscillatory system S Barragan, C Rueda, MA Fernandez, SD Peddada Plos one 10 (7), e0124842, 2015 | 8 | 2015 |
| Circular order aggregation and its application to cell-cycle genes expressions S Barragán, C Rueda, MA Fernández IEEE/ACM transactions on computational biology and bioinformatics 14 (4 …, 2016 | 5 | 2016 |
| Some advances in constrained inference for ordered circular parameters in oscillatory systems C Rueda, MA Fernández, S Barragán, SD Peddada Geometry Driven Statistics, 95-114, 2015 | 5 | 2015 |
| aggregation: an R package to produce probability distributions of aggregate number of mobile devices. R package version 0.1. 0 B Oancea, S Barragán, D Salgado | 4 | 2020 |
| deduplication: an R package for deduplicating mobile device counts into population individual counts. R package version 0.1. 0 B Oancea, S Barragán, D Salgado | 4 | 2020 |
| isocir: An R package for Isotonic Inference for Circular data. An application in Cell Biology. S Barragán, MA Fernández, C Rueda, SD Peddada Computer software manual]. Retrieved from http://cran. r-project. org/web …, 2011 | 3 | 2011 |
| Circular piecewise regression with an application to cell-cycle biology C Rueda, MA Fernández, S Barragán, KV Mardia, SD Peddada Biometrics 64, 1-20, 2015 | 2 | 2015 |
| A set of R packages to estimate population counts from mobile phone data B Oancea, D Salgado, LS Sande, S Barragan arXiv preprint arXiv:2111.05269, 2021 | 1 | 2021 |
| Improving statistical data editing with Machine Learning: first use cases in Statistics Spain (INE) S Barragán, D Salgado | | 2022 |
| Use of Simulation Models for the Development of a Statistical Production Framework for Mobile Network Data with the simutils Package B Oancea, D Salgado, S Barragan, M Necula arXiv preprint arXiv:2201.08171, 2022 | | 2022 |
| An end-to-end statistical process with mobile network data for official statistics D Salgado Fernández, L Sanguiao, B Oancea, S Barragán, M Necula Springer, 2021 | | 2021 |
| Towards a modular end-to-end statistical production process with mobile network data D Salgado, L Sanguiao, B Oancea, S Barragán, M Necula Spanish, 41, 2020 | | 2020 |
| Package ‘isocir’ S Barragan, MA Fernandez, C Rueda, MS Barragan | | 2016 |
| Circular Piecewise Regression with an application to cell-cycle gene Biology MC Rueda Sabater, MA Fernández Temprano, S Barragán, S Peddada, ... Wiley, 2016 | | 2016 |
| Circular Isotone Regression with Application to cell-cycle Biology MC Rueda Sabater, MA Fernández Temprano, S Barragán, K Mardia, ... | | 2015 |
| Two proposals for circular ordering aggregation MC Rueda Sabater, MA Fernández Temprano, S Barragán | | 2014 |
| Inference on circular orders with application to cell cycle gene expression data S Barragán, MC Rueda Sabater, MA Fernández Temprano, S Peddada | | 2013 |
Miguel Alejandro Fernández TempranoUniversidad de ValladolidVerified email at eio.uva.es
