CV page

Magnus Ekström

Magnus Ekström
Guest professor in mathematical statistics

Selected publications

Esseen, P.-A., and Ekström, M. (2023). Influence of canopy structure and microclimate on three-dimensional distribution of the iconic lichen Usnea longissimi. Forest Ecology and Management, 529, 120667. DOI: 10.1016/j.foreco.2022.120667

Angelov, A. G., Ekström, M., Puzon, K., Arcenas, A., and Kriström, B. (2022). Quantile regression with interval-censored data in questionnaire-based studies. Computational Statistics. DOI: 10.1007/s00180-022-01308-2

Persson, H. J., Ekström, M., and Ståhl, G. (2022). Quantify and account for field reference errors in forest remote sensing studies. Remote Sensing of Environment, 283:113302. DOI: 10.1016/j.rse.2022.113302

Saarela, S., Holm, S., Healey, S. P., Patterson, P. L., Yang, Z., Andersen, H.-E., Dubayah, R. O., Qi, W., Duncanson, L. I., Armston, J. D., Gobakken, T., Næsset, E., Ekström, M., and Ståhl, G. (2022). Comparing frameworks for biomass prediction for the Global Ecosystem Dynamics Investigation. Remote Sensing of Environment, 278:113074. DOI: 10.1016/j.rse.2022.113074

Angelov, A. G. and Ekström, M. (2022) Tests of stochastic dominance with repeated measurements data. AStA Advances in Statistical Analysis[ME1] . DOI: 10.1007/s10182-022-00446-8

Esseen, P.-A., Ekström, M., Grafström, A., Jonsson, B. G., Palmqvist, K., Westerlund, B., and Ståhl, G. (2022). Multiple drivers of large-scale lichen decline in boreal forest canopies. Global Change Biology, 28(10), 3293-3309. DOI: 10.1111/gcb.16128  

Gonzalez, N., Svenson, O., Ekström, M., Kriström, B., and Nilsson, M. E. (2022). Self-selected interval judgments compared to point judgments: A weight judgment experiment in the presence of the size-weight illusion. PLoS ONE, 17(3), e0264830.  DOI: 10.1371/journal.pone.0264830

Ekström, M., and Nilsson, M. (2021). A comparison of model-assisted estimators, with and without data-driven transformations of auxiliary variables, with application to forest inventory. Frontiers in Forests and Global Change, 4:764495. DOI: 10.3389/ffgc.2021.764495

Jonsson, B. G., Dahlgren, J., Ekström, M., Esseen, P.-A., Grafström, A., Ståhl, G., and Westerlund, B. (2021). Rapid changes in ground vegetation of mature boreal forests—An analysis of Swedish national forest inventory data. Forests, 12, 475. DOI: 10.3390/f12040475

Ekström, M., Sandring, S., Grafström, A., Esseen, P.-A., Jonsson, B. G., and Ståhl, G. (2020). Estimating density from presence/absence data in clustered populations. Methods in Ecology and Evolution, 11, 390-402. DOI: 10.1111/2041-210X.13347

Ståhl, G., Ekström, M., Dahlgren, J., Esseen, P.-A., Grafström, A., and Jonsson, B. G. (2020). Presence-absence sampling for estimating plant density using survey data with variable plot size. Methods in Ecology and Evolution, 11, 580-590. DOI: 10.1111/2041-210X.13348

Ekström, M., Mirakhmedov, S. M., and Jammalamadaka, S. R. (2020). A class of asymptotically efficient estimators based on sample spacings. TEST, 29, 617-636. DOI: 10.1007/s11749-019-00637-7

Angelov, G. A., Ekström, M., Kriström, B., and Nilsson, M. (2019). Four-decision tests for stochastic dominance, with an application to environmental psychophysics. Journal of Mathematical Psychology, 93. DOI: 10.1016/j.jmp.2019.102281

Grafström, A., Ekström, M., Jonsson, B. G., Esseen, P.-A., and Ståhl, G. (2019). On combining independent probability samples. Survey Methodology, 45, 349-364.

Angelov, A. G. and Ekström, M. (2019). Maximum likelihood estimation for survey data with informative interval censoring. AStA Advances in Statistical Analysis, 103, 217-236. DOI: 10.1007/s10182-018-00329-x

Eriksson, A., Gauslaa, Y., Palmqvist, K., Ekström, M., and Esseen, P.-A. (2018). Morphology drives water storage traits in the globally widespread lichen genus Usnea. Fungal Ecology, 35, 51-61. DOI: 10.1016/j.funeco.2018.06.007

Ekström, M., Esseen, P.-A., Westerlund, B., Grafström, A., Jonsson, B. G., and Ståhl, G. (2018). Logistic regression for clustered data from environmental monitoring programs. Ecological Informatics, 43, 165-173. DOI: 10.1016/j.ecoinf.2017.10.006

Ståhl, G., Ekström, M., Dahlgren, J., Esseen, P.-A., Grafström, A., and Jonsson, B. G. (2017). Informative plot sizes in presence-absence sampling of forest floor vegetation. Methods in Ecology and Evolution, 8, 1284-1291. DOI: 10.1111/2041-210X.12749

Angelov, A. G. and Ekström, M. (2017). Nonparametric estimation for self-selected interval data collected through a two-stage approach. Metrika, 80, 377-399. DOI: 10.1007/s00184-017-0610-7

Esseen, P.-A., Ekström, M., Westerlund, B., Palmqvist, K., Jonsson, B. G., Grafström, A., and Ståhl, G. (2016). Broad-scale distribution of epiphytic hair lichens correlates more with climate and nitrogen deposition than with forest structure. Canadian Journal of Forest Research, 46, 1348-1358. DOI: 10.1139/cjfr-2016-0113

Jonsson, B. G., Ekström, M., Esseen, P.-A., Grafström, A., Ståhl, G., and Westerlund, B. (2016). Dead wood availability in managed Swedish forests – policy outcomes and implications for biodiversity. Forest Ecology and Management, 376, 174-182. DOI: 10.1016/j.foreco.2016.06.017

Mirakhmedov, S. M., Jammalamadaka, S. R., and Ekström, M. (2015). Edgeworth expansions for two-stage sampling with applications to stratified and cluster sampling. Canadian Journal of Statistics, 43, 578-599. DOI: 10.1002/cjs.11266

Ekström, M. (2014). A general central limit theorem for strong mixing sequences. Statistics and Probability Letters, 94, 236-238. DOI: 10.1016/j.spl.2014.07.024

Ekström, M. (2013). Powerful parametric tests based on sum-functions of spacings. Scandinavian Journal of Statistics, 40, 886-898. DOI: 10.1111/sjos.12050

Ekström, M. and Jammalamadaka, S. R. (2012). A general measure of skewness. Statistics and Probability Letters, 82, 1559-1568. DOI: 10.1016/j.spl.2012.04.011

Olsson, D., Ekström, M., and Forsberg, B. (2012). Temporal variation in air pollution concentrations and preterm birth – a population based epidemiological study. International Journal of Environmental Research and Public Health, 9, 272-285. DOI: 10.3390/ijerph9010272

Ekström, M., and Jammalamadaka, S. R. (2009). Addendum to "An asymptotically distribution-free test of symmetry" [Journal of Statistical Planning and Inference 137 (2007) 799–810]. Journal of Statistical Planning and Inference, 139, 1569-1571. DOI: 10.1016/j.jspi.2008.09.008

Ekström, M. (2008). Subsampling variance estimation for nonstationary spatial lattice data. Scandinavian Journal of Statistics, 35, 38-63. DOI: 10.1111/j.1467-9469.2007.00572.x

Ekström M. (2008). Alternatives to maximum likelihood estimation based on spacings and the Kullback-Leibler divergence. Journal of Statistical Planning and Inference, 138, 1778-1791. DOI: 10.1016/j.jspi.2007.06.031

Ringvall, A., Snäll, T., Ekström, M., and Ståhl, G. (2007). Unrestricted guided transect sampling for surveying sparse species. Canadian Journal of Forest Research, 37, 2575-2586. DOI: 10.1139/X07-074

Ekström, M. and Jammalamadaka, S. R. (2007). An asymptotically distribution-free test of symmetry. Journal of Statistical Planning and Inference, 137, 799-810. DOI: 10.1016/j.jspi.2006.06.009

Ekström, M. (2006). Sum-functions of spacings of increasing order. Journal of Statistical Planning and Inference, 136, 2535-2546. DOI: 10.1016/j.jspi.2004.11.006

Ekström, M. and Sjöstedt - de Luna, S. (2004). Subsampling methods to estimate the variance of sample means based on nonstationary spatial data with varying expected values. Journal of the American Statistical Association, 99, 82-95. DOI: 10.1198/016214504000000106

Ekström, M. (2003). Quantifying spatial patterns of landscapes. Ambio, 32, 573-576. DOI: 10.1579/0044-7447-32.8.573

Yu, J. and Ekström, M. (2002). Multispectral image classification using wavelets: a simulation study. Pattern Recognition, 36, 889-898. DOI: 10.1016/S0031-3203(02)00125-5

Ekström, M. (2002). Nonparametric estimation of the variance of sample means based on nonstationary spatial data. Communications in Statistics – Theory and Methods, 31, 1743-1775. DOI: 10.1081/STA-120014912

Ekström, M. (2001). Consistency of generalized maximum spacing estimates. Scandinavian Journal of Statistics, 28, 343-354. DOI: 10.1111/1467-9469.00241

Lidestav, G. and Ekström, M. (2000). Introducing gender in studies on management beahaviour among non-industrial private forest owners. Scandinavian Journal of Forest Research, 15, 378-386. DOI: 10.1080/028275800448011

Yu, J. and Ekström, M. (2000). Asymptotic properties of high order spacings under dependence assumptions. Mathematical Methods of Statistics, 9, 437-448.

Ekström, M. (1999). Strong limit theorems for sums of logarithms of high order spacings. Statistics, 33, 153-169. DOI: 10.1080/02331889908802689

Ekström, M. (1998). On the consistency of the maximum spacing method. Journal of Statistical Planning and Inference, 70, 209-224. DOI: 10.1016/S0378-3758(97)00185-7

Ekström, M. (1996). Strong consistency of the maximum spacing estimate. Theory of Probability and Mathematical Statistics, 55, 55-72.


Contact

Senior Advisor at the Department of Forest Resource Management; Division of Forest Resource Analysis
Telephone: +46907868485
Postal address:
Institutionen för skoglig resurshushållning
Avdelningen för skoglig resursanalys
901 83 Umeå
Visiting address: Skogsmarksgränd, Umeå