The cross-integration of statistics with social and scientific applications is one the most popular topics in past decade. Motivated by divorce data collected from rural areas Sichuan Province, China, we propose a new method to estimate network multiple binary variables, which specifies dependence structures variables through Gaussian copula model. Method moments employed latent correlation mat...

We perform an extensive theoretical and empirical analysis of the use of auxiliary variables and implied constraints in modelling a class of non-binary constraint satisfaction problems called problems of distance. This class of problems include 1-d, 2-d and circular Golomb rulers. We identify a large number of different models, both binary and non-binary, and compare theoretically the level of ...

We present a novel approach to the tomographic reconstruction of binary objects from few projection directions within a limited range of angles. A quadratic objective functional over binary variables comprising the squared projection error and a prior penalizing non-homogeneous regions, is supplemented with a concave functional enforcing binary solutions.Application of a primal-dual subgradient...

In this paper a preprocessing algorithm for binary quadratic programming problems is presented. For some types of binary quadratic programming problems, the algorithm can compute the optimal value for some or all integer variables without approximations in polynomial time. When the optimal multiuser detection problem is formulated as a maximum likelihood problem, a binary quadratic programming ...