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Found 4 papers, 0 papers with code
Input-to-State Stable Neural Ordinary Differential Equations with Applications to Transient Modeling of Circuits
This paper proposes a class of neural ordinary differential equations parametrized by provably input-to-state stable continuous-time recurrent neural networks.
Mutually interacting superprocesses with migration
A system of mutually interacting superprocesses with migration is constructed as the limit of a sequence of branching particle systems arising from population models.
Probability Primary 60J68, Secondary 60H15, 60K35
Mean-variance portfolio selection under partial information with drift uncertainty
In this paper, we study the mean-variance portfolio selection problem under partial information with drift uncertainty.
Marginal and simultaneous predictive classification using stratified graphical models
An inductive probabilistic classification rule must generally obey the principles of Bayesian predictive inference, such that all observed and unobserved stochastic quantities are jointly modeled and the parameter uncertainty is fully acknowledged through the posterior predictive distribution.
