We consider thetwo-dimensional multi-target detection problem of recovering a target image from noisy measurement that contains multiple copies the image, each randomly rotated and translated. Motivated by structure reconstruction in single-particle cryo-electron microscopy, we focus on high noise regime, where hampers accurate occurrences. develop an autocorrelation analysis framework to estim...

Unemployment is a serious challenge faced by developing countries such as Indonesia. These challenges involve complex factors interacting with each other and can have negative impact on social economic stability. This study focused East Java Province case in point, the aim of analyzing geographical distribution open unemployment (TPT) relationship between regions that context. Using spatial ana...

This paper focuses on the practice of serial correlation correcting of the Linear Regression Model (LRM) by modeling the error. Simple Monte Carlo experiments are used to demonstrate the following points regarding this practice. First, the common factor restrictions implicitly imposed on the temporal structure of yt and xt appear to be completely unreasonable for any real world application. Sec...

The aim of this paper is to analyze the effect of the accessibility to employment offices on local unemployment rates according to the distribution of three different types of municipalities: large urban, small urban and non-urban. We built a new accessibility measure taking into account the number of employment offices together with the distance and size of their catchment area. We propose an ...

The current study examines spatial dependence in robbery rates for a sample of 1,056 cities with 25,000 or more residents over the 2000-2003 period. Although commonly considered in some macro-level research, spatial processes have not been examined in relation to city-level variation in robbery. The results of our regression analyses suggest that city robbery rates are not spatially independent...

We present new instruments for solving the "best site selection" problem in a sequential setting, and we propose a comparison with classical non-sequential methods based on the Value of Information. The main motivation is selection of drilling sites in an oil and gas field, when there are several correlated prospects. We discuss the properties and the methods required for designing our optimal ...

This paper proposes an unambiguous binary offset carrier (BOC) correlation function based on a combination of partial correlations composing the BOC autocorrelation, which has a main-peak sharper than those of the conventional unambiguous correlation functions, thus providing a better tracking performance. From numerical results, it is confirmed that the proposed unambiguous correlation functio...

We generalize the Green-Kubo approach, previously applied to bulk systems of spherically symmetric active particles [J. Chem. Phys. 145, 161101 (2016)JCPSA60021-960610.1063/1.4966153], to include spatially inhomogeneous activity. The method is applied to predict the spatial dependence of the average orientation per particle and the density. The average orientation is given by an integral over t...