| Flexible regression and smoothing: using GAMLSS in R MD Stasinopoulos, RA Rigby, GZ Heller, V Voudouris, F De Bastiani CRC Press, 2017 | 573 | 2017 |
| Distributions for modeling location, scale, and shape: Using GAMLSS in R RA Rigby, MD Stasinopoulos, GZ Heller, F De Bastiani Chapman and Hall/CRC, 2019 | 274 | 2019 |
| GAMLSS: A distributional regression approach MD Stasinopoulos, RA Rigby, FD Bastiani Statistical Modelling 18 (3-4), 248-273, 2018 | 120 | 2018 |
| Influence diagnostics in elliptical spatial linear models F De Bastiani, AH Mariz de Aquino Cysneiros, MA Uribe-Opazo, M Galea Test 24, 322-340, 2015 | 55 | 2015 |
| Gaussian Markov random field spatial models in GAMLSS F De Bastiani, RA Rigby, DM Stasinopoulous, AHMA Cysneiros, ... Journal of Applied Statistics 45 (1), 168-186, 2018 | 34 | 2018 |
| Comparison of maps of spatial variability of soil resistance to penetration constructed with and without covariables using a spatial linear model F Bastiani, MA Uribe-Opazo, GH Dalposso Engenharia agrícola 32, 393-404, 2012 | 28 | 2012 |
| Disclosing contrasting scenarios for future land cover in Brazil: Results from a high-resolution spatiotemporal model AN Fendrich, A Barretto, VG de Faria, F de Bastiani, K Tenneson, ... Science of the Total Environment 742, 140477, 2020 | 23 | 2020 |
| Flexible regression and smoothing: The GAMLSS packages in R M Stasinopoulos, B Rigby, V Voudouris, G Heller, F De Bastiani GAMLSS for Statistical Modelling. GAMLSS for Statistical Modeling, 2015 | 23 | 2015 |
| Aspectos espacial e temporal e fatores associados à interiorização da Covid-19 em Pernambuco, Brasil LRM Quinino, FHM Vasconcellos, IS Diniz, LR Aguiar, YTM Ramos, ... Ciência & Saúde Coletiva 26, 2171-2182, 2021 | 16 | 2021 |
| Comparação de mapas temáticos de diferentes grades amostrais para a produtividade da soja LPC Guedes, F Bastiani, MA Uribe-Opazo Engenharia Agrícola 35, 733-743, 2015 | 15 | 2015 |
| Exploratory spatial analysis for interval data: A new autocorrelation index with COVID-19 and rent price applications WWL Freitas, RMCR de Souza, GJA Amaral, F De Bastiani Expert Systems with Applications 195, 116561, 2022 | 12 | 2022 |
| Local influence of explanatory variables in Gaussian spatial linear models JA Borssoi, F De Bastiani, MA Uribe-Opazo, M Galea The Chilean Journal of Statistics 2 (2), 29-38, 2011 | 11 | 2011 |
| Distributions for Modelling Location RA Rigby, MD Stasinopoulos, G Heller, F De Bastiani Scale and Shape: Using GAMLSS in R, 2017 | 10 | 2017 |
| Generalised exponential-Gaussian distribution: a method for neural reaction time analysis F Marmolejo-Ramos, C Barrera-Causil, S Kuang, Z Fazlali, D Wegener, ... Cognitive Neurodynamics 17 (1), 221-237, 2023 | 9 | 2023 |
| Gaussian spatial linear model of soybean yield using bootstrap methods GH Dalposso, MA Uribe-Opazo, JA Johann, M Galea, FD Bastiani Engenharia Agrícola 38, 110-116, 2018 | 8 | 2018 |
| Spatial and temporal aspects and factors associated with the spread of Covid-19 to the interior of the State of Pernambuco, Brazil LRM Quinino, FHM Vasconcellos, IS Diniz, LR Aguiar, YTM Ramos, ... Ciência & Saúde Coletiva 26, 2171-2182, 2021 | 6 | 2021 |
| Case-deletion diagnostics for spatial linear mixed models F De Bastiani, MA Uribe-Opazo, M Galea, A Cysneiros Spatial statistics 28, 284-303, 2018 | 6 | 2018 |
| Thematic maps comparison of different sampling grids for soybean productivity LPC Guedes, F Bastiani, MA Uribe-Opazo Engenharia Agrícola 35, 733-743, 2015 | 6 | 2015 |
| Local influence when fitting Gaussian spatial linear models: an agriculture application DM Grzegozewski, MAU Opazo, F De Bastiani, M Galea Ciencia e investigación agraria: revista latinoamericana de ciencias de la …, 2013 | 6 | 2013 |
| Influence diagnostics on a reparameterized t-Student spatial linear model MA Uribe-Opazo, F De Bastiani, M Galea, RC Schemmer, ... Spatial Statistics 41, 100481, 2021 | 5 | 2021 |
Mikis StasinopoulosProfessor in StatisticsVerified email at staff.londonmet.ac.uk
