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Stéphanie van der Pas
Stéphanie van der Pas
Associate professor, Amsterdam UMC
Verified email at amsterdamumc.nl - Homepage
Title
Cited by
Cited by
Year
The horseshoe estimator: Posterior concentration around nearly black vectors.
SL van der Pas, BJK Kleijn, AW van der Vaart
Electronic Journal of Statistics 8 (2), 2585-2618, 2014
2132014
Posterior concentration for Bayesian regression trees and forests
V Ročková, S van der Pas
Annals of Statistics 48 (4), 2108-2131, 2020
1332020
Uncertainty Quantification for the Horseshoe
S van der Pas, B Szabó, A van der Vaart
Bayesian Analysis, 2017
1322017
Adaptive posterior contraction rates for the horseshoe
S van der Pas, B Szabó, A van der Vaart
Electronic Journal of Statistics 11 (2), 3196-3225, 2017
892017
Conditions for posterior contraction in the sparse normal means problem
SL van der Pas, JB Salomond, J Schmidt-Hieber
Electronic Journal of Statistics 10 (1), 976-1000, 2016
722016
Different competing risks models for different questions may give similar results in arthroplasty registers in the presence of few events: Illustrated with 138,234 hip (124,560 …
S Van Der Pas, R Nelissen, M Fiocco
Acta orthopaedica 89 (2), 145-151, 2018
462018
Bayesian community detection
SL van der Pas, AW van der Vaart
Bayesian Analysis 13 (3), 767-796, 2018
452018
Patients’ outcome expectations and their fulfilment in multidisciplinary stroke rehabilitation
IF Groeneveld, PH Goossens, I van Braak, S van der Pas, JJL Meesters, ...
Annals of physical and rehabilitation medicine 62 (1), 21-27, 2019
392019
horseshoe: Implementation of the Horseshoe Prior
S van der Pas, J Scott, A Chakraborty, A Bhattacharya
https://CRAN.R-project.org/package=horseshoe, 2016
38*2016
Almost the best of three worlds: Risk, consistency and optional stopping for the switch criterion in nested model selection
S Van Der Pas, P Grünwald
Statistica Sinica 28 (1), 229-253, 2018
29*2018
Bayesian dyadic trees and histograms for regression
S van der Pas, V Ročková
Advances in Neural Information Processing Systems, 2089-2099, 2017
282017
Evolution from mitral annular dysfunction to severe mitral regurgitation in Barlow’s disease
YL Hiemstra, A Tomsic, P Gripari, AL van Wijngaarden, SL van der Pas, ...
Interactive CardioVascular and Thoracic Surgery 32 (4), 506-514, 2021
262021
Illness perceptions of stroke survivors: Predictors and changes over time–A 1 year follow-up study
IF Groeneveld, SL van der Pas, JJL Meesters, JM Schuurman, ...
Journal of Psychosomatic Research 116, 54-61, 2019
222019
Merged block randomisation: A novel randomisation procedure for small clinical trials
SL van der Pas
Clinical Trials 16 (3), 246-252, 2019
192019
Prevalence and hospital admissions in patients with osteogenesis imperfecta in The Netherlands: a nationwide registry study
S Storoni, S Treurniet, A Maugeri, G Pals, JG van den Aardweg, ...
Frontiers in Endocrinology 13, 869604, 2022
172022
Physical activity after mild traumatic brain injury: What are the relationships with fatigue and sleep quality?
F van Markus-Doornbosch, E Peeters, S van der Pas, TV Vlieland, ...
European Journal of Paediatric Neurology 23 (1), 53-60, 2019
172019
The course of depressive symptoms in the first 12 months post-stroke and its association with unmet needs
DCM Stokman-Meiland, IF Groeneveld, HJ Arwert, SL van der Pas, ...
Disability and Rehabilitation 44 (3), 428-435, 2022
152022
Patients with Staged Bilateral Total Joint Arthroplasty in Registries: Immortal Time Bias and Methodological Options
SL van der Pas, RGHH Nelissen, M Fiocco
JBJS 99 (15), e82, 2017
142017
Multiscale Bayesian survival analysis
I Castillo, S van der Pas
The Annals of Statistics 49 (6), 3559-3582, 2021
132021
Steeper memory decline after COVID-19 lockdown measures
ED Bakker, SL van der Pas, MD Zwan, F Gillissen, FH Bouwman, ...
Alzheimer's Research & Therapy 15 (1), 81, 2023
122023
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