En utförligare presentation finns på min engelska medarbetarsida.
Martin Singull
Professor, Avdelningschef
Presentation
Nyheter
Forskning
Doktorander
Publikationer
2026
Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data-Efficient Optimisation of Laboratory Workflows
ADVANCED INTELLIGENT SYSTEMS, Vol. 8, Artikel e202501149
(Artikel, forskningsöversikt)
https://dx.doi.org/10.1002/aisy.202501149
Modeling long-term tree growth curves indirectly with piecewise linear regression and explaining factors, when tree ages are unknown
Environmental and Ecological Statistics, Vol. 33, s. 449-511
(Artikel i tidskrift)
https://dx.doi.org/10.1007/s10651-025-00689-z
Cardiovascular Events in Women With Prior Cervical High-Grade Squamous Intraepithelial Lesion
JAMA Oncology
(Artikel i tidskrift)
https://dx.doi.org/10.1001/jamaoncol.2025.6504
Testing partial parallelism in profile analysis
(Rapport)
https://dx.doi.org/10.3384/LiTH-MAT-R-2026-01
The Safety Belt estimator under multivariate linear models with inequality constraints
Journal of Statistical Planning and Inference, Vol. 241, Artikel 106335
(Artikel i tidskrift)
https://dx.doi.org/10.1016/j.jspi.2025.106335
2025
Unrecognized cardiovascular risks in young cervical cancer patients. Findings from the Rebuc study
European Heart Journal Supplements (EHJS), Vol. 27, Artikel suaf083.119
(Artikel i tidskrift)
https://dx.doi.org/10.1093/eurheartjsupp/suaf083.119
Revascularization and mortality in ischemic heart disease among children, adolescents and young adults with cancer: Insights from the Rebuc Study
European Heart Journal, Supplement, Vol. 27
(Artikel i tidskrift)
https://dx.doi.org/10.1093/eurheartjsupp/suaf083.125
Exploring arrhythmias in children, adolescents and young adults with cancer: the Rebuc study perspective
European Heart Journal, Supplement, Vol. 27, Artikel suaf083.134
(Artikel i tidskrift)
https://dx.doi.org/10.1093/eurheartjsupp/suaf083.134
Moment-based Misclassification Probability for a Quadratic Classifier of Growth Curves using an Edgeworth-type Expansion
SANKHYA-SERIES B-APPLIED AND INTERDISCIPLINARY STATISTICS
(Artikel i tidskrift)
https://dx.doi.org/10.1007/s13571-025-00395-7
Timing and combinations of cardiovascular diseases in survivors of childhood, adolescent, and young adulthood cancer
CARDIO-ONCOLOGY, Vol. 11, Artikel 92
(Artikel i tidskrift)
https://dx.doi.org/10.1186/s40959-025-00385-8
Approximation of misclassification probabilities for quadratic classification of repeated measurements
Journal of Statistical Computation and Simulation, Vol. 95, s. 3401-3423
(Artikel i tidskrift)
https://dx.doi.org/10.1080/00949655.2025.2532003
Analysis of HIV therapy in the liver using optimal control and pharmacokinetics
JOURNAL OF MATHEMATICS IN INDUSTRY, Vol. 15, Artikel 2
(Artikel i tidskrift)
https://dx.doi.org/10.1186/s13362-025-00167-y
Prevalence of abnormal thyroid hormone levels in acute new-onset atrial fibrillation
Frontiers in Cardiovascular Medicine, Vol. 11, Artikel 1518297
(Artikel i tidskrift)
https://dx.doi.org/10.3389/fcvm.2024.1518297
2024
Approximation of misclassification probabilities using quadratic classifier for repeated measurements with known covariance matrices
(Rapport)
https://dx.doi.org/10.3384/LiTH-MAT-R-2024-02
Morbidity and mortality among children, adolescents, and young adults with cancer over six decades: a Swedish population-based cohort study (the Rebuc study)
The Lancet Regional Health: Europe, Vol. 42, Artikel 100925
(Artikel i tidskrift)
https://dx.doi.org/10.1016/j.lanepe.2024.100925
Böcker
Recent Developments in Multivariate and Random Matrix Analysis
Recent Developments in Multivariate and Random Matrix Analysis.
Festschrift in Honour of Dietrich von Rosen
Edited by Thomas Holgersson and Martin Singull
This volume is a tribute to Professor Dietrich von Rosen on the occasion of his 65th birthday. It contains a collection of twenty original papers. The contents of the papers evolve around multivariate analysis and random matrices with topics such as high-dimensional analysis, goodness-of-fit measures, variable selection and information criteria, inference of covariance structures, the Wishart distribution and growth curve models.