Tore Schweder (male), born 1943, is professor of
He is cand. real. 1968 (
Schweder has worked with scientists in a number of fields (medicine, demography, sociology, economics, ecology, genetics, palaeontology and fisheries). During the last 15 years, most of his applied work has been concerned with estimating marine resources (fish and whales), and with the problem of uncertainty in fisheries management. He has developed further methods for line transect sampling, and he has participated in several surveys at sea. He has also contributed to capture-recapture methododlogy.
Mainly inspired by applications in marine biology, Schweder has pursued studies of statistical methodology. In recent years he has been mostly concerned with simulation based statistical inference, and with developing a frequentist alternative to Bayesian analysis, or a synthesis of the two approaches. This latter line of research is inspired by R.A. Fisher and B. Efron, and provides concepts and methods for prior information, posterior distributions, optimal inference and rational learning. Integrative statistical analysis of diverse data through a global model is another interest inspired by fisheries science.
To analyse fossil data Schweder combines time series by stochastic differential equations.
Schweder has taught statistics to students of economics, biology and mathematics at all levels. He has supervised 5 PhDs in statistics.
Schweder has been serving on doctoral committees at five universities, and for professor appointments at nine Universities. He has also served at review committees for The American Research Council, The Inter-American Tropical Tuna Commission, and the IWC. He has refereed papers for 24 different international journals. He has further together with others organized eight international meetings and workshops.
He has had sabbaticals in
Selected publications since 2004:
H.J., Øien, N., Schweder, T. and Bøthun, T. 2004. Abundance of minke whales
(Balaenoptera acutorostrata) in the
2. Waagepetersen, R. and Schweder, T. 2006. Likelihood-Based Inference for Clustered Line Transect Data. Journal of Agricultural Biological and Environmental Statistics 11:. 264-279
3. Schweder, T. 2006. The Scenario
4. Jorde, P.E., Schweder, T.,
Bickham, J.W., Givens, G.H., Suydam, R. Hunter, D. and
5. Schweder, T. 2007. Confidence nets for curves. In: Advances in statistical modeling and inference. Essays in honor of Kjell A. Doksum. World Scientific ISBN 10-981-270-369-1. pp. 593-609.
6. Schweder, T., Sadykova, D., Rugh, D., Koski, W. 2009. Population estimates from aerial photographic surveys of naturally and variably marked bowhead whales. Journal of Agricultural Biological and Environmental Statistics. In Press