Research for Stochastic Processes

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February 1, 1981

This paper considers the effects of small random perturbations on deterministic systems of differential equations. The systems of interest have a steady state that is a saddle point. A first exit problem is formulated. The quantity of basic interest is the probability of exit from a band around the deterministic separatrix through a specified boundary, conditioned on initial position. A technique for the approximate calculation of this probability is given. As an example, it is shown how the theory applies to the calculation of the probability of victory in a combat situation that has a stochastic component.

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February 1, 1981
A formula is derived for the calculation of the coverage integral in the most general case. A sample problem is presented and in the appendix, a FORTRAN code is listed for implementing the formula on a computer.
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February 1, 1981

This paper considers the effects of small random perturbations on deterministic systems of differential equations. The deterministic systems of interest have oscillatory dynamics and may undergo a bifurcation (the Hopf bifurcation). A first exit problem for experiments beginning near stable and unstable limit cycles is formulated. The unstable limit cycle is surrounded by an annulus. Of interest is the probability of first exit from the annulus through a specified boundary, conditioned on initial position. The diffusion approximation is used, so that the conditional probability satisfies a backward diffusion equation. Appropriate solutions on the backward equation are constructed by an asymptotic method. The behavior of the stochastic system in the vicinity of stable and unstable limit cycles is compared. When the deterministic system exhibits the Hopf bifurcation, the above analysis must be modified. Uniform solutions of the backward equation are constructed. The solutions are analogous to Hadamard's solution of the point source problem for the wave equation. Numerical examples are used to compare the theory with Monte Carlo experiments.

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February 1, 1981
This paper presents a mathematical model of regime change in Latin America. The model is a finite Markov chain with stationary transition probabilities.
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February 1, 1981
This paper considers the effects of small random perturbations in deterministic systems of differential equations. A previous version of this paper appeared as CNA Professional Paper 225.
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February 1, 1981
This paper proposes a method of separating the error term of the stochastic frontier model into its two components for each observation.
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February 1, 1981

A generalized critical point is characterized by the vanishing of certain linear relationships. In particular, the dynamics near such a point are completely non-linear. This paper analyzes fluctuations at such points of spatially homogeneous systems. Thermodynamic critical points as a special case are discussed, but the main emphasis is on stochastic kinetic equations. It is shown that fluctuations at a critical point cannot be characterized by a Gaussian density, but more sophisticated densities yield reasonable results. The theory is applied to the critical harmonic oscillator.

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November 1, 1980
This paper reformulates the Nerlove-Press model in terms of an unobserved underlying variable with a continuous and three dummy indicators.
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October 1, 1980
This research contribution consists of a series of eight memoranda originally published by the Statistical Research Group at Columbia University for the National Defense Research Committee in 1943 on methods of estimating the vulnerability of various parts of an aircraft based on damage to surviving planes. The methodology presented continues to be valuable in defense analysis and, therefore, has been reprinted by the Center for Naval Analyses in order to achieve wider dissemination.
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July 1, 1980
A novel transform is presented which maps continuum functions (such as probability distributions) into discrete sequences and permits rapid numerical calculation of convolutions, multiple convolutions, and Neumann expansions for Volterra integral equations.
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