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Found 5 papers, 2 papers with code
Inverse Ising inference from high-temperature re-weighting of observations
Maximum Likelihood Estimation (MLE) is the bread and butter of system inference for stochastic systems.
Data-driven inference of hidden nodes in networks
Finally, an important hidden variable problem is to find the number of clusters in a dataset.
Data Analysis, Statistics and Probability Physics and Society
Causality inference in stochastic systems from neurons to currencies: Profiting from small sample size
We introduce a data-driven statistical physics approach to model inference based on minimizing a free energy of data and show superior model recovery for small sample sizes.
Data Analysis, Statistics and Probability Quantitative Methods
A Local Counter-Regulatory Motif Modulates the Global Phase of Hormonal Oscillations
By testing all possible motifs governing the interactions of these three cell types, we found that a unique set of positive/negative intra-islet interactions between different islet cell types functions not only to reduce the superficially wasteful zero-sum action of glucagon and insulin but also to enhance/suppress the synchronization of hormone secretions between islets under high/normal glucose conditions.
Minimal Perceptrons for Memorizing Complex Patterns
We developed a new complexity measure of binary patterns, and estimated the minimal network size for memorizing them as a function of their complexity.
