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Staff photo Jun Yu

Jun Yu

Contact

E-mail
jun.yu@umu.se
Phone
+46 90 786 51 27

Works at

Affiliation
Professor at Department of Mathematics and Mathematical Statistics
Location
MIT-huset, plan 3, Matematik och matematisk statistik, F348 Umeå universitet, 901 87 Umeå
2020
A Hybrid Statistical-Dynamical Downscaling of Air Temperature over Scandinavia using the WRF model
Advances in Atmospheric Sciences, Springer 2020, Vol. 37 : 57-74
Wang, Jianfeng; Fonseca, Ricardo M.; Rutledge, Kendall; et al.
2020
Statistical inference for block sparsity of complex-valued signals
IET Signal Processing
Wang, Jianfeng; Zhou, Zhiyong; Yu, Jun
2019
Model-based computed tomography image estimation: partitioning approach
Journal of Applied Statistics, Taylor & Francis 2019, Vol. 46, (14) : 2627-2648
Bayisa, Fekadu; Yu, Jun
2019
Adaptive algorithm for sparse signal recovery
Digital signal processing (Print), Elsevier 2019, Vol. 87 : 10-18
Bayisa, Fekadu; Zhou, Zhiyong; Cronie, Ottmar; et al.
2019
Functional marked point processes: A natural structure to unify spatio-temporal frameworks and to analyse dependent functional data
Cronie, Ottmar; Ghorbani, Mohammad; Mateu, Jorge; et al.
2019
Functional marked point processes: Unifying spatio-temporal frameworks and analysing spatially dependent functional data
Statistical Analysis for Space-Time Data: Pragramme and Abstract Book, Eurpean Courses in Advanced Statistics (ECAS) 2019 : 7-7
Cronie, Ottmar; Ghorbani, Mohammad; Yu, Jun; et al.
2019
Functional marked point processes: A naturalstructure to unify spatio-temporal frameworksand to analyse dependent functional data
20th Workshop on Stochastic Geometry, Stereology and Image Analysis, Sandbjerg Estate, Denmark, June 2-7, 2019.
Ghorbani, Mohammad; Cronie, Ottmar; Mateu, Jorge; et al.
2019
Sharper Positron Emission Tomography: Intelligent Data Sampling to Promote Accelerated Medical Imaging
Winter Conference in Statistics 2019 - Machine Learning, March 10-14, 2019, Hemavan, Sweden
Leffler, Klara; Axelsson, Jan; Larsson, Anne; et al.
2019
An extended block restricted isometry property for sparse recovery with non-Gaussian noise
Journal of Computational Mathematics
Leffler, Klara; Zhou, Zhiyong; Yu, Jun
2019
Efficient surface finish defect detection using reduced rank spline smoothers
CRoNoS & MDA 2019
Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.
2019
Effective degrees of freedom for surface finish defect detection and classification
Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.
2019
Defect detection and classfiication: statistical learning approach - Part II
Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.
2019
Weather Simulation Uncertainty Estimation using Bayesian Hierarchical Model
Journal of Applied Meteorology and Climatology, American Meteorological Society 2019, Vol. 58, (3) : 585-603
Wang, Jianfeng; Fonseca, Ricardo M.; Rutledge, Kendall; et al.
2019
Bayesian sparsity estimation in compressive sensing with application to MR images
Communications in Statistics: Case Studies, Data Analysis and Applications, Taylor & Francis Group 2019, Vol. 5, (4) : 415-431
Wang, Jianfeng; Zhou, Zhiyong; Garpebring, Anders; et al.
2019
Statistical inference for block sparsity of complex signals
Wang, Jianfeng; Zhou, Zhiyong; Yu, Jun
2019
Enhanced block sparse signal recovery based on q-ratio block constrained minimal singular values
Wang, Jianfeng; Zhou, Zhiyong; Yu, Jun
2019
Error bounds of block sparse signal recovery based on q-ratio block constrained minimal singular values
EURASIP Journal on Advances in Signal Processing, Springer 2019, Vol. 2019
Wang, Jianfeng; Zhou, Zhiyong; Yu, Jun
2019
Statistical modelling for spatiotemporal data
The Hawassa Math&Stat Conference 2019, Hawassa, Ethiopia, February 11-15, 2019
Yu, Jun
2019
Stable and robust ℓp-constrained compressive sensing recovery via robust width property
Journal of the Korean Mathematical Society, Korean Mathematical Society 2019, Vol. 56, (3) : 689-701
Yu, Jun; Zhou, Zhiyong
2019
Sparse recovery based on q-ratio constrained minimal singular values
Signal Processing, Elsevier 2019, Vol. 155 : 247-258
Zhou, Zhiyong; Yu, Jun
2019
A New Nonconvex Sparse Recovery Method for Compressive Sensing
Frontiers in Applied Mathematics and Statistics, Frontiers Media S.A. 2019, Vol. 5 : 1-11
Zhou, Zhiyong; Yu, Jun
2019
Recovery analysis for weighted mixed ℓ2/ℓp minimization with 0 < p ≤ 1
Journal of Computational and Applied Mathematics, Elsevier 2019, Vol. 352 : 210-222
Zhou, Zhiyong; Yu, Jun
2019
Adaptive estimation for varying coefficient modelswith nonstationary covariates
Communications in Statistics - Theory and Methods, Taylor & Francis 2019, Vol. 48, (16) : 4034-4050
Zhou, Zhiyong; Yu, Jun
2019
Phaseless compressive sensing using partial support information
Optimization Letters
Zhou, Zhiyong; Yu, Jun
2019
On q-ratio CMSV for sparse recovery
Signal Processing, Elsevier 2019, Vol. 165 : 128-132
Zhou, Zhiyong; Yu, Jun
2018
Statistical learning in computed tomography image estimation
Medical physics (Lancaster), John Wiley & Sons 2018, Vol. 45, (12) : 5450-5460
Bayisa, Fekadu; Liu, Xijia; Garpebring, Anders; et al.
2018
Comparative analysis of nonlinear growth curve models for Arabidopsis thaliana rosette leaves
Acta Physiologiae Plantarum, Springer 2018, Vol. 40, (6)
Jiao, Xiang; Zhang, Huichun; Zheng, Jiaqiang; et al.
2018
Comparison of hidden Markov chain models and hidden Markov random field models in estimation of computed tomography images
Communications in Statistics: Case Studies, Data Analysis and Applications, Taylor & Francis Group 2018, Vol. 4, (1) : 46-55
Kuljus, Kristi; Bayisa, Fekadu; Bolin, David; et al.
2018
Intelligent data sampling promotes accelerated medical imaging: sharper positron emission tomography
The 6th Swedish Workshop on Data Science (SweDS18), November 20-21, 2018, Umeå Sweden
Leffler, Klara; Häggström, Ida; Yu, Jun
2018
An Extended Block Restricted Isometry Property for Sparse Recovery with Non-Gaussian Noise
COMPSTAT 2018 - August 28-31, Iasi, Rumania
Leffler, Klara; Zhou, Zhiyong; Yu, Jun
2018
Automated surface finish defect detection using statistical learning approach
SweDS2018, November 20-21, 2018
Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.
2018
Defect detection and classification: statistical learning approach
Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.
2018
Athletic ability in childhood and adolescence as a predictor of participation in non-elite sports in young adulthood
Sport in Society: Cultures, Media, Politics, Commerce, Routledge 2018, Vol. 21, (11) : 1686-1703
Söderström, Tor; Fahlén, Josef; Ferry, Magnus; et al.
2018
Tree-ring cellulose exhibits several interannual 13C signals on the intramolecular level
Geophysical Research Abstracts
Wieloch, Thomas; Ehlers, Ina; Yu, Jun; et al.
2018
Intramolecular 13C analysis of tree rings provides multiple plant ecophysiology signals covering decades
Scientific Reports, Vol. 8
Wieloch, Thomas; Ehlers, Ina; Yu, Jun; et al.
2018
Sparse recovery based on q-ratio constrained minimal singular values
Zhou, Zhiyong; Yu, Jun
2017
Model-based Estimation of Computed Tomography Images
IRSYSC 2017 – 3rd International Researchers, Statisticians and Young Statisticians Congress, Konya, Turkey, May 2017.
Bayisa, Fekadu; Yu, Jun
2017
Model-based Estimation of Computed Tomography Images
Bayisa, Fekadu; Yu, Jun
2017
Comparison of hidden Markov chain models and hidden Markov random field models in estimation of computed tomography images
Kuljus, Kristi; Bayisa, Fekadu; Bolin, David; et al.
2017
Sparsity Estimation of MR images in Compressive Sensing
IRSYSC 2017 – 3rd International Researchers, Statisticians and Young Statisticians Congress, Konya, Turkey, May 2017.
Wang, Jianfeng; Yu, Jun
2017
Sparsity estimation in compressive sensing with application to MR images
Wang, Jianfeng; Zhou, Zhiyong; Garpebring, Anders; et al.
2017
Tree-ring cellulose exhibits several distinct intramolecular 13C signals
Geophysical Research Abstracts
Wieloch, Thomas; Ehlers, Ina; Frank, David; et al.
2017
Estimation of block sparsity in compressive sensing
Zhou, Zhiyong; Yu, Jun
2017
Phaseless compressive sensing using partial support information
Zhou, Zhiyong; Yu, Jun
2017
Estimation of block sparsity in compressive sensing
FoCM 2017 - Computational Harmonic Analysis and Compressive Sensing, Barcelona, Spain, July 2017.
Zhou, Zhiyong; Yu, Jun
2016
Prediction of CT images from MR images with hidden Markov and random field models
Proceedings of the 8th International Workshop on Spatio-Temporal Modelling : 163-163
Bayisa, Fekadu; Kuljus, Kristi; Johansson, Adam; et al.
2016
The discretely observed immigration-death process: Likelihood inference and spatiotemporal applications
Communications in Statistics - Theory and Methods, Taylor & Francis Group 2016, Vol. 45, (18) : 5279-5298
Cronie, Ottmar; Yu, Jun
2016
Weighted species richness outperforms species richness as predictor of biotic resistance
Ecology, Vol. 97, (1) : 262-271
Henriksson, Anna; Yu, Jun; Wardle A., David; et al.
2016
Hildeman, A., Bolin, D., Wallin, J., Johansson, A., Nyholm, T., Asklund, T., and Yu, J. Whole-brain substitute CT generation using Markov random field mixture models.
Hildeman, Anders; Bolin, David; Wallin, Jonas; et al.
2016
Contrast agent quantification by using spatial information in dynamic contrast enhanced MRI
Wang, Jianfeng; Garpebring, Anders; Brynolfsson, Patrik; et al.
View publications in DiVA