Adaptive regression with Brownian path covariate

Bayesian inference for fractional Oscillating Brownian motion

Cholinergic neuromodulation of inhibitory interneurons facilitates functional integration in whole-brain models

Clique immersions in graphs of independence number two with certain forbidden subgraphs

Coexistence, dispersal and spatial structure in metacommunities: a stochastic model approach

High-Order Interdependencies in the Aging Brain

Hyperharmonic analysis for the study of high-order information-theoretic signals

Least-square estimators in linear regression models under negatively superadditive dependent random observations

Limit distribution of the least square estimator with observations sampled at random times driven by standard Brownian motion

Numerical Scheme for Stochastic Differential Equations Driven by Fractional Brownian Motion with 1 / 4

Numerical Scheme for Stochastic Differential Equations Driven by Fractional Brownian Motion with 1 / 4 < H< 1 / 2

On local linearization method for stochastic differential equations driven by fractional Brownian motion

Parameter estimation for a discrete time model driven by fractional Poisson process

Polynomial degeneracy for the first m energy levels of the antiferromagnetic Ising model

Scalable and accurate method for neuronal ensemble detection in spiking neural networks

Structural features of the human connectome that facilitate the switching of brain dynamics via noradrenergic neuromodulation

Studies on the basic reproduction number in stochastic epidemic models with random perturbations

The 2-Decomposition Conjecture for a new class of graphs

Evolving Systems of Stochastic Differential Equations

Instituto de Ingeniería Matemática

Adaptive regression with Brownian path covariate

Bayesian inference for fractional Oscillating Brownian motion

Coexistence, dispersal and spatial structure in metacommunities: a stochastic model approach

High-Order Interdependencies in the Aging Brain

Hyperharmonic analysis for the study of high-order information-theoretic signals

Limit distribution of the least square estimator with observations sampled at random times driven by standard Brownian motion

Numerical Scheme for Stochastic Differential Equations Driven by Fractional Brownian Motion with 1 / 4 < H< 1 / 2

Parameter estimation for a discrete time model driven by fractional Poisson process

Polynomial degeneracy for the first m energy levels of the antiferromagnetic Ising model

Scalable and accurate method for neuronal ensemble detection in spiking neural networks

Structural features of the human connectome that facilitate the switching of brain dynamics via noradrenergic neuromodulation

Evolving Systems of Stochastic Differential Equations