• Professor of Mathematics and Statistics
• Doctor of Science, Vilnius University, 1975
• Ph.D., Vilnius University, 1961
• Personal web site

Dr. Tempelman's work and interests were inspired by and closely connected with the scientific activity of the Moscow probability group led by A. Kolmogorov. His main fields of interest include laws of large numbers and ergodic theorems. These theorems present a rigorous approach to the study of a fundamental law of nature: stability of averages of random processes. They are exact statements that guarantee this stability under some conditions of "weak dependence", stationarity with respect to time translations or with respect to some other groups of transformations. Theorems of this kind are fundamental to statistics and statistical physics. In particular, these theorems are used to prove consistency of statistical estimates. Some "almost periodic" non-random processes have a similar property of stability of averages, and it appears that this fact and the ergodic theorems for random processes are special cases of some general statements that show the common nature of these phenomena. Study of these "average stability laws" is the main topic of Dr. Tempelman's papers and books. He has also considered various applications of this theory to statistics and statistical physics. Dr. Tempelman also studies the Hausdorff dimension of fractal sets.

Representative publications

G. Cohen, M. Lin and A.A. Tempelman. 2004. Consistency of the LSE in linear regression with stationary noise. Colloq. Math. 100(1), 29-71.

A. A. Tempelman. 2000. Dimension of random fractals in metric spaces. Theory of Probability and Applic 44(3): 537-557.

A. A. Tempelman and B. M. Gurevich. 2000. Hausdorff dimension and pressure in DLR thermodynamic formalism. Amer. Math. Soc. Transl. (2) 198: 91-107.

A. A. Tempelman. 1992. Ergodic Theorems for Group Actions. Norwell, Mass.: Kluwer Academic Publishers.

A. A. Tempelman. 1984. Specific characteristics and variational principle for homogeneous random fields. Z. Wahrsheinlichkeitstheorie und verw. Gebiete 65: 341-365.

A. A. Tempelman. 1982. On linear regression estimates. Reproducing Kernel Hilbert Spaces: Applications in Statistical Signal Processing, H. L. Weinert (ed.). Strassburg, pp. 301-326.

Last updated: April 18, 2005