Martin Jacobsen
Emeritus
Department of Mathematical Sciences
Universitetsparken 5
2100 København Ø
ORCID: 0000-0003-4688-1336
11 - 20 out of 34Page size: 10
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Gaussian Diffusions and Statistical Inference: Weak Convergence and Statistical Inference
Stockmarr, A. & Jacobsen, Martin, 1994, In: Scandinavian Journal of Statistics. 21, p. 403-420Research output: Contribution to journal › Journal article › Research › peer-review
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Homogeneous Gaussian Diffusions in Finite Dimensions
Jacobsen, Martin, 1991, Københavns Universitet, p. 70.Research output: Working paper › Research
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Inverse problems for regular variation of linear filters, a cancellation property for $\sigma$-finite measures, and identification of stable laws.
Mikosch, Thomas Valentin, Jacobsen, Martin, Rosinski, J. & Samorodnitsky, G., 2009, In: Annals of Applied Probability. 19, 1, p. 210-242 33 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Laplace and the Origin of the Ornstein-Uhlenbeck Process
Jacobsen, Martin, 1995, In: Gozaresh. 32, p. 16Research output: Contribution to journal › Journal article › Research › peer-review
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Marked Point Processes and Piecewise Deterministic Processes, Lecture Notes No. 3
Jacobsen, Martin, 1999, Aarhus.Research output: Book/Report › Book › Education
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Markov Chains and Markov Processes
Jacobsen, Martin, 2004, Encyclopedia of actuarial science. Wiley, Vol. Vol 2 (E-N). p. 1081-1094Research output: Chapter in Book/Report/Conference proceeding › Encyclopedia chapter › Research
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Martingales and the Distribution of the Time to Ruin
Jacobsen, Martin, 2002, København, p. 1-24.Research output: Working paper › Research
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Martingales and the distribution of the time to ruin
Jacobsen, Martin, 2003, In: Stochastic Processes and Their Applications. 107, 1, p. 29-51Research output: Contribution to journal › Journal article › Research › peer-review
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Multi-self-similar Markov processes on Rn+ and their Lamperti representations
Jacobsen, Martin & Yor, M., 2002, København, p. 1-28.Research output: Working paper › Research
ID: 8468