In the previous study, a statistically significant positive correlation between natural background radiation exposure rates and crude (non-age-adjusted) cancer mortality rates was observed in 46 Japanese prefectures over the period from 1968 until 1978. However, the significance of this correlation mostly disappeared through age adjustment. It was suggested that natural radiation levels are pos...

the hub location decision is a long term investment and any changes in it take considerable time and money. in real situations, some parameters are uncertain hence, deterministic models cannot be more efficient. the ability of two-stage stochastic programming is to make a long-term decision by considering effects of it in short term decisions simultaneously. in the two-stage stochastic programm...

We consider several stochastic process methods for performing canonical correlation analysis (CCA). The first uses a Gaussian Process formulation of regression in which we use the current projection of one data set as the target for the other and then repeat in the opposite direction. The second uses a method which relies on probabilistically sphering the data, concatenating the two streams and...

The classical fluctuation-dissipation theorem predicts the average response of a dynamical system to an external deterministic perturbation via time-lagged statistical correlation functions of the corresponding unperturbed system. In this work we develop a fluctuation-response theory and test a computational framework for the leading order response of statistical averages of a deterministic or ...

In the previous studies, correlation between natural background radiation exposure rates and cancer mortality rates in 46 Japanese prefectures was statistically studied over the period of 1950-1978. With regard to the correlation between natural background radiation exposure rate and crude (non-age-adjusted) cancer mortality rate, statistically significant positive correlation coefficients were...

We propose a novel algorithm of counting indistinguishable objects by a collection of sensors. The information on multiple counting is recovered from the stochastic correlation patterns.

We proposed an artificial market model based on deterministic agents which select their action depending on past price changes. Temporal development of market price fluctuations is calculated numerically. Probability density functions of market price changes have power tails. Autocorrelation coefficient of the changes has an anti-correlation, and autocorrelation coefficient of squared changes (...

The stochastic dynamics of an active particle undergoing a constant speed and additionally driven by an overall fluctuating torque is investigated. The random torque forces are expressed by a stochastic differential equation for the angular dynamics of the particle determining the orientation of motion. In addition to a constant torque, the particle is supplemented by random torques, which are ...

We review here the development of the general formalism for the study of fermion propagation in the presence of stochastic media. This formalism allows the systematic derivation of evolution equations for averaged quantities as survival probabilities and higher order distribution moments. The formalism equally applies to any finite dimensional Schrödinger equation in the presence of a stochasti...

We generalize the extended J-diffusion model to molecular reorientational dynamics in uniaxially aligned fluids such as nematics. In particular we calculate correlation functions valid for both the inertial and stochastic regimes of the motion. Such functions are then used to fit correlation functions determined experimentally from Infrared and Raman bandshape analysis. We determined thus the p...