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Jun Yu

Full Professor in Mathematical Statistics with focus on Statistical Learning and Inference for Spatiotemporal Data, including fundamental research and applications in AI. Director of Doctoral Studies

Research qualifications: Docent

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Affiliation
Professor at Department of Mathematics and Mathematical Statistics Role: Director of studies
Location
MIT-huset, plan 3, Matematik och matematisk statistik, MIT.F.348 Umeå universitet, 901 87 Umeå

I am leading the research group on statistical learning and inference for spatiotemporal data.

We work on tackling theoretical data science problems and developing statistical learning methods for solving real-life problems, which originate from various application areas, including atmospheric icing, automobile industry, biomedical engineering, climate research, epidemiology, forestry, geochemistry and hydrology, radiation oncology, spatial ecology, sports science, and transportation.

Regarding the statistical learning and inference studied: statistical learning with sparsity, compressive sensing, mathematics of data science, hierarchical spatiotemporal modelling, nonparametric density/intensity estimation and smoothing techniques, statistical inference for hidden Markov models and random fields, summary statistics for point processes, and wavelet theory applied to signal and image analys.

In terms of data analysis tools: intelligent data sampling using compressive sensing, large-scale environmental data model, multimodal image processing, tree growth models, and general modelling of biological populations in space and time.

Dadras, Ali; Leffler, Klara; Yu, Jun
Journal of Rail Transport Planning & Management, Elsevier 2023, Vol. 26
Wang, Jianfeng; Mantas-Nakhai, Roberto; Yu, Jun
New Phytologist, John Wiley & Sons 2022, Vol. 234, (2) : 449-461
Wieloch, Thomas; Grabner, Michael; Augusti, Angela; et al.
International Journal of Wavelets, Multiresolution and Information Processing, World Scientific 2022, Vol. 20, (06)
Zhou, Zhiyong; Yu, Jun
Test (Madrid), Sociedad de Estadística e Investigación Operativa (Spanish Society of Statistics and Operations Research) 2021, Vol. 30, (3) : 529-568
Ghorbani, Mohammad; Cronie, Ottmar; Mateu, Jorge; et al.
Advances in signal processing: reviews. Volume 2, International Frequency Sensor Association Publishing 2021 : 309-342
Pya Arnqvist, Natalya; Lindahl, Eric; Yu, Jun
Econometrics and Statistics, Elsevier 2021, Vol. 18 : 89-105
Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Lindahl, Eric; et al.
Frontiers in Signal Processing, Frontiers Media S.A. 2021, Vol. 1
Wang, Jianfeng; Garpebring, Anders; Brynolfsson, Patrik; et al.
Journal of Rail Transport Planning & Management, Elsevier 2021, Vol. 18
Wang, Jianfeng; Granlöf, Markus; Yu, Jun
Atmosphere, MDPI 2021, Vol. 12, (9)
Wang, Jianfeng; Yu, Jun
Signal Processing, Elsevier 2021, Vol. 189
Zhou, Zhiyong; Yu, Jun
Journal of Computational Mathematics, Global Science Press 2020, Vol. 38, (6) : 827-838
Leffler, Klara; Zhou, Zhiyong; Yu, Jun
2020 ISEK Virtual Congress Poster Abstract Booklet, International Society of Electrophysiology and Kinesiology 2020 : 141-142
Rohlén, Robin; Stålberg, Erik; Yu, Jun; et al.
Advances in Atmospheric Sciences, Springer 2020, Vol. 37 : 57-74
Wang, Jianfeng; Fonseca, Ricardo M.; Rutledge, Kendall; et al.
IET Signal Processing, Institution of Engineering and Technology 2020, Vol. 14, (3) : 154-161
Wang, Jianfeng; Zhou, Zhiyong; Yu, Jun
Optimization Letters, Springer 2020, Vol. 14 : 1961-1973
Zhou, Zhiyong; Yu, Jun
Journal of Applied Statistics, Taylor & Francis 2019, Vol. 46, (14) : 2627-2648
Bayisa, Fekadu; Yu, Jun
Digital signal processing (Print), Elsevier 2019, Vol. 87 : 10-18
Bayisa, Fekadu; Zhou, Zhiyong; Cronie, Ottmar; et al.
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.
20th Workshop on Stochastic Geometry, Stereology and Image Analysis 2–7 June, 2019, Sandbjerg Estate, Denmark: Abstract book : 13-13
Ghorbani, Mohammad; Cronie, Ottmar; Mateu, Jorge; et al.
Winter Conference in Statistics 2019 - Machine Learning, March 10-14, 2019, Hemavan, Sweden
Leffler, Klara; Axelsson, Jan; Larsson, Anne; et al.
Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.
CRoNoS & MDA 2019
Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.
Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.
Journal of Applied Meteorology and Climatology, American Meteorological Society 2019, Vol. 58, (3) : 585-603
Wang, Jianfeng; Fonseca, Ricardo M.; Rutledge, Kendall; et al.
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.
Wang, Jianfeng; Zhou, Zhiyong; Yu, Jun
EURASIP Journal on Advances in Signal Processing, Springer 2019, Vol. 2019
Wang, Jianfeng; Zhou, Zhiyong; Yu, Jun
The Hawassa Math&Stat Conference 2019, Hawassa, Ethiopia, February 11-15, 2019
Yu, Jun
Journal of the Korean Mathematical Society, Korean Mathematical Society 2019, Vol. 56, (3) : 689-701
Yu, Jun; Zhou, Zhiyong
Signal Processing, Elsevier 2019, Vol. 155 : 247-258
Zhou, Zhiyong; Yu, Jun
Frontiers in Applied Mathematics and Statistics, Frontiers Media S.A. 2019, Vol. 5 : 1-11
Zhou, Zhiyong; Yu, Jun
Journal of Computational and Applied Mathematics, Elsevier 2019, Vol. 352 : 210-222
Zhou, Zhiyong; Yu, Jun
Communications in Statistics - Theory and Methods, Taylor & Francis 2019, Vol. 48, (16) : 4034-4050
Zhou, Zhiyong; Yu, Jun
Signal Processing, Elsevier 2019, Vol. 165 : 128-132
Zhou, Zhiyong; Yu, Jun
Medical physics (Lancaster), John Wiley & Sons 2018, Vol. 45, (12) : 5450-5460
Bayisa, Fekadu; Liu, Xijia; Garpebring, Anders; et al.
Acta Physiologiae Plantarum, Springer 2018, Vol. 40, (6)
Jiao, Xiang; Zhang, Huichun; Zheng, Jiaqiang; et al.
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.
The 6th Swedish Workshop on Data Science (SweDS18), Umeå, Sweden, November 20-21, 2018
Leffler, Klara; Häggström, Ida; Yu, Jun
COMPSTAT 2018, Iasi, Romania, August 28-31, 2018
Leffler, Klara; Zhou, Zhiyong; Yu, Jun
Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.
SweDS2018, Umeå University, Sweden, November 20-21, 2018
Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.
Medicinteknikdagarna 2018, 9-10 oktober, Umeå
Rohlén, Robin; Stålberg, Erik; Stoverud, Karen-Helene; et al.
Sport in Society: Cultures, Media, Politics, Commerce, Routledge 2018, Vol. 21, (11) : 1686-1703
Söderström, Tor; Fahlén, Josef; Ferry, Magnus; et al.

I have been teaching mathematical statistics at all levels, from basic education to postgraduate education. The courses taught have been subjected to different target groups, which are students with majors varying from mathematics, statistics, to biology, engineering, and forestry. The languages that I used in teaching have been English, Swedish, or Chinese.

In latest years, I have primarily taught doctoral courses in Mathematical Statistics and Data Science.