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Jensen, J. L. (1995). Contribution to the discussion of "A personal overview on non-linear time series analysis from a chaos perspective" by Howell Tong. Scandinavian Journal of Statistics, 22(4), 426-428. http://www.jstor.org/stable/4616372

Jensen, J. L. (1991). Uniform saddlepoint approximations and log-concave densities. Journal of the Royal Statistical Society, Series B (Statistical Methodology), 53(1), 157-172. http://www.jstor.org/stable/2345732

Jensen, J. L. (1991). A large deviation-type approximation for the "box class" of likelihood ratio criteria. Journal of the American Statistical Association, 86(414), 437-440. http://www.jstor.org/stable/2290590

Jensen, J. L. & Møller, J. (1991). Pseudolikelihood for exponential family models of spatial point processes. Annals of Applied Probability, 1(3), 445-461. http://www.jstor.org/stable/2959747

Jensen, J. L. & Kristensen, L. B. (1991). Saddlepoint approximations to exact tests and improved likelihood ratio tests for the gamma distribution. Communications in Statistics: Theory and Methods, 20(4), 1515-1532. https://doi.org/10.1080/03610929108830579

Jensen, J. L. (1991). Saddlepoint approximations to the distribution of the total claim amount in some recent risk models. Scandinavian Actuarial Journal, (2), 154-168. https://doi.org/10.1080/03461238.1991.10413889

Jensen, J. L. (1997). Efficiency of the pseudo-likelihood estimate in a one-dimensional lattice gas. In Selected Proceedings of the Symposium on Estimating Functions (Athens, GA, 1996) (pp. 369-379). Institute of Mathematical Statistics. https://doi.org/10.1214/lnms/1215455056

Jensen, J. L. (1996). A saddlepoint approximation for the number of uniform spacings exceeding a given level. In Fourth Symposium on Probability Theory and Stochastic Processes (Spanish) (Guanajuato, 1996) (pp. 129-136). Soc. Mat. Mexicana.

Jensen, J. L. (1995). Saddlepoint approximations. Clarendon Press Oxford.

Jensen, J. L. (1993). Saddlepoint approximations, Edgeworth expansions and normal approximations - from independence to dependence. Department of Theoretical Statistics, University of Aarhus. Aarhus Universitet. Matematisk Institut. Memoirs Vol. 12

Jensen, J. L. (1989). A note on the work of Goetze and Hipp concerning asymptotic expansions for sums of weakly dependent random vectors. In P. Mandel & M. Huskova (Eds.), Proceedings of the Fourth Prague Symposium on Asymptotic Statistics (pp. 295-303). Charles University, Prague.

Jensen, J. L. (1990). Two examples of statistics sufficiently smooth to admit an Edgeworth expansion. In G. Diana, L. Pace, F. Pesarin & A. Salvan (Eds.), Small sample asymptotics and related problems (pp. 1-24). University of Padua.

Jensen, J. L. (Ed.) (2003). Workshop on statistical aspects of microarray data. MaPhySto, Aarhus University. Miscellanea Vol. 23

Jensen, J. L. (1986). A note on asymptotic expansions for the first order autoregressive progress. Institut for Matematiske Fag, Aarhus Universitet. Memoirs

Jensen, J. L. (1981). A note on the fiducial inference for the Fisher distribution on a sphere. Department of Theoretical Statistics, University of Aarhus. Research Report Vol. 71

Jensen, J. L. (1982). Similar tests and confidence regions for the group parameter of an exponential transformation model. Department of Theoretical Statistics, University of Aarhus. Research Report Vol. 82

Jensen, J. L., Rasmussen, K. R., Sørensen, M. & Willetts, B. B. (1984). The Hanstholm experiment 1982. Sand grain saltation on a beach. Department of Theoretical Statistics, University of Aarhus. Research Report Vol. 125

Jensen, J. L., Raarup, M. K. & Rubak, E. (2012). Estimating protein-protein interaction affinity in single living cells using Förster resonance energy transfer measurements. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports No. 12

Jensen, E. B. V. & Nielsen, L. S. (2000). Inhomogeneous Markov point processes by transformation. Bernoulli, 6(5), 761-782. https://doi.org/10.2307/3318755

Jensen, E. B. V. (1996). An induction proof of the generalized Blaschke-Petkantschin formula. Advances in Applied Probability, 28(2), 334. https://doi.org/10.2307/1428044

Jensen, E. B. V. (1995). Rotational versions of the Crofton formula. Advances in Applied Probability, 27(1), 87-96. https://doi.org/10.2307/1428097

Jensen, E. B. V. (1994). Topics in spatial statistics - discussion. Scandinavian Journal of Statistics, 21(4), 349-350. http://www.jstor.org/stable/4616322

Jensen, E. B. V. & Kiêu, K. (1994). Unbiased stereological estimation of d-dimensional volume in Rn from an isotropic random slice through a fixed point. Advances in Applied Probability, 26(1), 1-12. https://doi.org/10.2307/1427575

Jensen, E. B. V. & Gundersen, H. J. G. (1993). The rotator. Journal of Microscopy, 170(1), 35-44. https://doi.org/10.1111/j.1365-2818.1993.tb03321.x, https://doi.org/10.1111/j.1365-2818.1993.tb03352.x

Jensen, E. B. V. & Kieu, K. (1992). A New Integral Geometric Formula of the Blaschke-Petkantschin Type. Mathematische Nachrichten, 156, 57-74. https://doi.org/10.1002/mana.19921560105

Jensen, E. B. V. (1991). Recent developments in the stereological analysis of particles. Annals of the Institute of Statistical Mathematics, 43(3), 455-468. https://doi.org/10.1007/BF00053366

Jensen, E. B. V. & Ziegel, J. F. (2014). Local stereology of tensors of convex bodies. Methodology and Computing in Applied Probability, 16(2), 263-282. https://doi.org/10.1007/s11009-013-9337-8

Jensen, J. L. (2013). On a saddlepoint approximation to the Markov binomial distribution. Brazilian Journal of Probability and Statistics, 27(2), 150-161. https://doi.org/10.1214/11-BJPS162

Jensen, J. L., Mortensen, P. B. & Serritzlew, S. (2016). The Dynamic Model of Choice for Public Policy Reconsidered: A Formal Analysis with an Application to US Budget Data. Journal of Public Administration Research and Theory, 26(2), 226-238. https://doi.org/10.1093/jopart/muv007

Jensen, J. L., Asmussen, S. & Rojas-Nandayapa, L. (2016). On the Laplace transform of the lognormal distribution. Methodology and Computing in Applied Probability, 18(2), 441-458. https://doi.org/10.1007/s11009-014-9430-7

Jensen, E. B. V. & Rasmusson, A. (2014). Rotational integral geometry and local stereology - with a view to image analysis. In V. Schmidt (Ed.), Stochastic Geometry, Spatial Statistics and Random Fields: Models and Algorithms (pp. 233-255). Springer Publishing Company. https://doi.org/10.1007/978-3-319-10064-7_8

Jensen, E. B. V. & Kiderlen, M. (2016). Rotation Invariant Valuations. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports Vol. 2016/03 http://math.au.dk/publs?publid=1064

Jensen, J. L. (2016). On the use of saddlepoint approximations in highdimensional inference. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet. Thiele Research Reports Vol. 4, 2016 http://math.au.dk/forskning/publikationer/instituttets-serier/publication/publid/1082/

Jensen, E. B. V. & Gundersen, H. J. G. (2017). THE WORKSHOPS ON STOCHASTIC GEOMETRY, STEREOLOGY AND IMAGE ANALYSIS. Image Analysis and Stereology, 36(3), 179-185. https://doi.org/10.5566/ias.1755

Jensen, J. L. & Andreassen, C. M. (2018). On the three-dimensional negative binomial distribution. Communications in Statistics: Theory and Methods, 47(10), 2314-2326. https://doi.org/10.1080/03610926.2013.864766

Jensen, J. L., Mortensen, P. B. & Serritzlew, S. (2019). A Comparative Distributional Method for Public Administration Illustrated Using Public Budget Data. Journal of Public Administration Research and Theory, 29(3), 460-473. https://doi.org/10.1093/jopart/muy056

Jensen, J. L. (2021). On the Use of Saddlepoint Approximations in High Dimensional Inference. Sankhya A, 83(1), 379-392. https://doi.org/10.1007/s13171-019-00188-x

Jensen, L. G., Williamson, D. & Hahn, U. (2022). Semiparametric point process modeling of blinking artifacts in PALM. The Annals of Applied Statistics, 16(3), 1500-1523. https://doi.org/10.1214/21-AOAS1553

Jakobsen, M., Hermansen, J. E., Andersen, H. M.-L., Jørgensen, U., Labouriau, R., Kongsted, A. G. & Rasmussen, J. (2019). Elimination behavior and soil mineral nitrogen load in an organic system with lactating sows – comparing pasture-based systems with and without access to poplar (Populus sp.) trees. Agroecology and Sustainable Food Systems, 43(6), 639-661. https://doi.org/10.1080/21683565.2018.1541039

Jacod, J., Li, Y., Mykland, P. A., Podolskij, M. & Vetter, M. (2009). Microstructure noise in the continuous case: The pre-averaging approach. Stochastic Processes and Their Applications, 119(7), 2249-2276. https://doi.org/10.1016/j.spa.2008.11.004

Jacod, J. & Podolskij, M. (2013). A test for the rank of the volatility process: The random perturbation approach. Annals of Statistics, 41(5), 2391-2427. https://doi.org/10.1214/13-AOS1153

Jacod, J., Podolskij, M. & Vetter, M. (2010). Limit Theorems for moving averages of discretized processes plus noise. Annals of Statistics, 38(3), 1478-1545. https://doi.org/10.1214/09-AOS756

Jacod, J. & Podolskij, M. (2018). On the minimal number of driving Lévy motions in a multivariate price model. Journal of Applied Probability, 55(3), 823-833. https://doi.org/10.1017/jpr.2018.52

Iversen, B. B., Jensen, J. L. & Danielsen, J. (1997). Errors in Maximum-Entropy Charge-Density Distributions Obtained from Diffraction Data. Acta Crystallographica Section A: Foundations and Advances, 53(3), 376-387. https://doi.org/10.1107/S0108767397000792

Ivanovs, J. (2016). Zooming in on a Lévy process at its supremum. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet. Thiele Research Reports Vol. 5, 2016 http://math.au.dk/forskning/publikationer/instituttets-serier/publication/publid/1086/

Ivanovs, J. (2017). Splitting and time reversal for Markov additive processes. Stochastic Processes and Their Applications, 127(8), 2699-2724. https://doi.org/10.1016/j.spa.2016.12.007

Ivanovs, J. (2016). Sparre-Andersen identity and the last passage time. Journal of Applied Probability, 53(2), 600-605.

Ivanovs, J. (2017). Robust bounds in multivariate extremes. http://thiele.au.dk/publications/2017/

Ivanovs, J. (2021). Stochastic decompositions in bivariate risk and queueing models with mutual assistance. Stochastic Models, 37(1), 5-22. https://doi.org/10.1080/15326349.2020.1760888

Ivanovs, J. (2021). On scale functions for Lévy processes with negative phase-type jumps. Queueing Systems, 98(1-2), 3-19. https://doi.org/10.1007/s11134-021-09696-w

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Lars Madsen