When a C programmer needs an efficient data structure for a particular problem, he or she can often simply look one up in any of a number of good textbooks or handbooks. Unfortunately, programmers in functional languages such as Standard ML or Haskell do not have this luxury. Although some data structures designed for imperative languages such as C can be quite easily adapted to a functional se...

For larger defined benefit pension plans variability in funding levels and contribution rates arises primarily from variability in real investment returns relative to salary growth. Recent work by Dufresne (1988, 1989, 1990) and Haberman (1994) has shown how this uncertainty can be reduced by chosing an appropriate amortization strategy. In the present paper we first consider to what extent the...

One of the fundamental tasks in quantum metrology is to estimate multiple parameters embedded a noisy process, i.e., channel. In this paper, we study limits channel estimation via concept amortization and right logarithmic derivative (RLD) Fisher information value. Our key technical result proof chain-rule inequality for RLD value, which implies that amortization, access catalyst state family, ...

the main objective of this article is to present a comparative study of capital assets pricing models (capm) with extrapolating capital assets pricing models (x-capm) of companies admitted in tehran exchange market which is accomplished for the first time by investigators of this research in iran. accordingly, the statistical population under study of this research includes all companies admitt...

The main objective of this article is to present a comparative study of capital assets pricing models (CAPM) with extrapolating capital assets pricing models (X-CAPM) of companies admitted in Tehran Exchange Market which is accomplished for the first time by investigators of this research in Iran. Accordingly, the statistical population under study of this research includes all companies admitt...

Bayesian optimal experimental design is a sub-field of statistics focused on developing methods to make efficient use resources. Any potential evaluated in terms utility function, such as the (theoretically well-justified) expected information gain (EIG); unfortunately however, under most circumstances EIG intractable evaluate. In this work we build off successful variational approaches, which ...