| Bayesian regression modeling with INLA X Wang, YR Yue, JJ Faraway Chapman and Hall/CRC, 2018 | 213 | 2018 |
| Bayesian inference for additive mixed quantile regression models YR Yue, H Rue Computational Statistics & Data Analysis 55 (1), 84-96, 2011 | 145 | 2011 |
| Bayesian semiparametric additive quantile regression E Waldmann, T Kneib, YR Yue, S Lang, C Flexeder Statistical Modelling 13 (3), 223-252, 2013 | 93 | 2013 |
| Adaptive spatial smoothing of fMRI images MA Lindquist, JM Loh, YR Yue Statistics and its Interface 3 (1), 3-13, 2010 | 92 | 2010 |
| A Bayesian general linear modeling approach to cortical surface fMRI data analysis AF Mejia, YR Yue, D Bolin, F Lindgren, MA Lindquist Journal of the American Statistical Association, 2019 | 68 | 2019 |
| Nonstationary spatial Gaussian Markov random fields Y Yue, PL Speckman Journal of Computational and Graphical Statistics 19 (1), 96-116, 2010 | 62 | 2010 |
| Bayesian adaptive smoothing splines using stochastic differential equations YR Yue, D Simpson, F Lindgren, H Rue | 46 | 2014 |
| Variable selection for inhomogeneous spatial point process models Y Yue, JM Loh Canadian Journal of Statistics 43 (2), 288-305, 2015 | 37 | 2015 |
| Meta-analysis of functional neuroimaging data using Bayesian nonparametric binary regression YR Yue, MA Lindquist, JM Loh | 33 | 2012 |
| Priors for Bayesian adaptive spline smoothing YR Yue, PL Speckman, D Sun Annals of the Institute of Statistical Mathematics 64 (3), 577-613, 2012 | 29 | 2012 |
| Bayesian Tobit quantile regression model for medical expenditure panel survey data YR Yue, HG Hong Statistical Modelling 12 (4), 323-346, 2012 | 28 | 2012 |
| Gradual growth versus shape invariance in perceptual decision making. JN Rouder, Y Yue, PL Speckman, MS Pratte, JM Province Psychological Review 117 (4), 1267, 2010 | 19 | 2010 |
| Bayesian semiparametric intensity estimation for inhomogeneous spatial point processes YR Yue, JM Loh Biometrics 67 (3), 937-946, 2011 | 16 | 2011 |
| Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups D Spencer, YR Yue, D Bolin, S Ryan, AF Mejia NeuroImage 249, 118908, 2022 | 15 | 2022 |
| Bayesian generalized two-way ANOVA modeling for functional data using INLA Y Yue, D Bolin, H Rue, XF Wang Statistica Sinica 29 (2), 741-767, 2019 | 13 | 2019 |
| Bayesian nonparametric estimation of pair correlation function for inhomogeneous spatial point processes YR Yue, JM Loh Journal of Nonparametric Statistics 25 (2), 463-474, 2013 | 11 | 2013 |
| Superimposing hip extension on knee flexion evokes higher activation in biceps femoris than knee flexion alone A Hegyi, D Csala, B Kovács, A Péter, BXW Liew, Y Yue, T Finni, J Tihanyi, ... Journal of Electromyography and Kinesiology 58, 102541, 2021 | 9 | 2021 |
| Influence of experimental pain on the spatio-temporal activity of upper trapezius during dynamic lifting–An investigation using Bayesian spatio-temporal ANOVA BXW Liew, YR Yue, C Cescon, M Barbero, D Falla Journal of Electromyography and Kinesiology 48, 1-8, 2019 | 7 | 2019 |
| Bayesian inference for generalized linear mixed models with predictors subject to detection limits: an approach that leverages information from auxiliary variables YR Yue, XF Wang Statistics in medicine 35 (10), 1689-1705, 2016 | 7 | 2016 |
| Spatial Gaussian Markov random fields: Modelling, applications and efficient computations YR Yue, XF Wang | 7 | 2014 |
Håvard RueKing Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
