Each of the three information decompositions (the PID, PED, and GID) can be related to each-other in terms of how one is constructed from another. The PID is a special case of the GID (when the prior is the product of the marginals of the posterior), the PED is a special case of the PID (when the target is the joint-state of all the inputs), and the GID is constructed from the (local) PED. None of the three are fundamentally “prior” to any other, and this relationship forms the beginning of a unified theory of multivariate information decomposition.</p
The formulation of the Partial Information Decomposition (PID) framework by Williams and Beer in 201...
Recently, a series of papers addressed the problem of decomposing the information of two random vari...
We will discuss Principal Inertia Components (PICs), a theoretical framework to finely decompose the...
The partial information decomposition (PID) is perhaps the leading proposal for resolving informatio...
In a system of three stochastic variables, the Partial Information Decomposition (PID) of Williams a...
In a system of three stochastic variables, the Partial Information Decomposition (PID) of Williams a...
Bivariate partial information decompositions (PIDs) characterize how the information in a "message" ...
The partial information decomposition (PID) is a promising framework for decomposing a joint random ...
The idea of a partial information decomposition (PID) gained significant attention for attributing t...
Partial information decomposition (PID) separates the contributions of sources about a target into u...
Recently, the partial information decomposition emerged as a promising framework for identifying the...
The Partial Information Decomposition, introduced by Williams P. L. et al. (2010), provides a theore...
A technique is described by which the latent structure model of multi-variate analysis formulated by...
For readers already familiar with Partial Information Decomposition (PID), we show that PID’s defini...
The formulation of the Partial Information Decomposition (PID) framework by Williams and Beer in 201...
The formulation of the Partial Information Decomposition (PID) framework by Williams and Beer in 201...
Recently, a series of papers addressed the problem of decomposing the information of two random vari...
We will discuss Principal Inertia Components (PICs), a theoretical framework to finely decompose the...
The partial information decomposition (PID) is perhaps the leading proposal for resolving informatio...
In a system of three stochastic variables, the Partial Information Decomposition (PID) of Williams a...
In a system of three stochastic variables, the Partial Information Decomposition (PID) of Williams a...
Bivariate partial information decompositions (PIDs) characterize how the information in a "message" ...
The partial information decomposition (PID) is a promising framework for decomposing a joint random ...
The idea of a partial information decomposition (PID) gained significant attention for attributing t...
Partial information decomposition (PID) separates the contributions of sources about a target into u...
Recently, the partial information decomposition emerged as a promising framework for identifying the...
The Partial Information Decomposition, introduced by Williams P. L. et al. (2010), provides a theore...
A technique is described by which the latent structure model of multi-variate analysis formulated by...
For readers already familiar with Partial Information Decomposition (PID), we show that PID’s defini...
The formulation of the Partial Information Decomposition (PID) framework by Williams and Beer in 201...
The formulation of the Partial Information Decomposition (PID) framework by Williams and Beer in 201...
Recently, a series of papers addressed the problem of decomposing the information of two random vari...
We will discuss Principal Inertia Components (PICs), a theoretical framework to finely decompose the...