Jeffrey F. Collamore
Professor
Department of Mathematical Sciences
Universitetsparken 5
2100 København Ø
Professional Biography:
Professor, Department of Mathematical Sciences, University of Copenhagen, 2018-present.
Associate Professor, Department of Mathematical Sciences, University of Copenhagen, 2002-2018.
Post-doctoral research fellow, Department of Mathematics (RiskLab), ETH Zürich, Switzerland, 2000-2002.
Post-doctoral research fellow, Financial Mathematics, EURANDOM, The Netherlands, 1999-2000.
Post-doctoral research fellow, Mathematical Statistics, Lund University, Sweden, 1998-1999.
Visiting Assistant Professor, Department of Statistics, University of Illinois, Urbana-Champaign, 1996-1998.
Long-term (one-month) visiting appointments at the following universities: University of Wisconsin, Madison (1998); ETH Zürich (2000); University of Helsinki (2005); University of Wroclaw (2012).
Education:
M.A., Ph.D., Mathematics; University of Wisconsin, Madison.
B.S., Physics, Mathematics; University of California, San Diego.
Ph.D. dissertation: Large Deviation Techniques for the Study of the Hitting Probabilities of Rare Sets, 1996. (Advisor: Peter Ney.)
Societies:
Insititute of Mathematics Statistics; Danish Actuarial Society.
Precise research interests:
Pure and applied probability. Large deviations. Stochastic fixed point equations and iterated random systems. Multidimensional recursions and random matrices. Markov chain theory for Harris recurrent chains. Stochastic simulation techniques for rare event estimation. Related aspects of convexity theory; networks; branching random walk and branching Markov chains; large deviation methods in statistics and information theory.
Insurance and finance. Risk theory; particularly, multidimensional ruin problems and stochastic economic processes arising in risk theory. Insurance-based methods for quantitative risk management. Mathematical aspects of financial time series modeling. Large deviations methods in finance.
Education
Professor
ID: 7871
Most downloads
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1264
downloads
Importance sampling techniques for the multidimensional ruin problem for general Markov additive sequences of random vectors.
Research output: Contribution to journal › Journal article › Research › peer-review
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1225
downloads
Exact asymptotics for a large deviations problem for the GI/G/1 queue
Research output: Contribution to journal › Journal article › Research › peer-review
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1091
downloads
Large deviation tail estimates and related limit laws for stochastic fixed point equations
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published