Market structure explained by pairwise interactions

Market structure explained by pairwise interactions

Financial markets are a typical example of complex systems where interactions between constituents lead to many remarkable features. Here we give empirical evidence, by making as few assumptions as possible, that the market microstructure capturing almost all of the available information in the data of stock markets does not involve higher order than pairwise interactions. We give an economic i...

Texture Modeling by Multiple Pairwise Pixel Interactions

A Markov random eld model with a Gibbs prob ability distribution GPD is proposed for describing particular classes of grayscale images which can be called spatially uniform stochastic textures The model takes into account only multiple short and long range pairwise interactions between the gray lev els in the pixels An e ective learning scheme is introduced to recover a structure and strength o...

Uncovering New Pathogen–Host Protein–Protein Interactions by Pairwise Structure Similarity

Pathogens usually evade and manipulate host-immune pathways through pathogen-host protein-protein interactions (PPIs) to avoid being killed by the host immune system. Therefore, uncovering pathogen-host PPIs is critical for determining the mechanisms underlying pathogen infection and survival. In this study, we developed a computational method, which we named pairwise structure similarity (PSS)...

The Importance of Pairwise Interactions

Properties of contact matrices induced by pairwise interactions in proteins.

The properties of contact matrices ( C matrices) needed for native proteins to be the lowest-energy conformations are considered in relation to a contact energy matrix ( E matrix). The total conformational energy is assumed to consist of pairwise interaction energies between atoms or residues, each of which is expressed as a product of a conformation-dependent function (an element of the C matr...