1 citations · 2 across the 7 of their papers we have counts for
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Parameter Estimation for Time-Scaled Inhomogeneous Phase-Type Distributions from Discrete Observations
Fernando Baltazar-Larios, Alejandra Quintos
Inhomogeneous phase-type (IPH) distributions extend classical phase-type (PH) models by allowing transition intensities to vary over time, offering greater flexibility for modeling…
Likelihood estimation for stochastic differential equations with mixed effects
Fernando Baltazar-Larios, Mogens Bladt, Michael Sørensen
Stochastic differential equations provide a powerful tool for modelling dynamic phenomena affected by random noise. In case of repeated observations of time series for several expe…
Statistical inference for a stochastic generalized logistic differential equation
Fernando Baltazar-Larios, Francisco Delgado-Vences, Saul Diaz-Infante +1
This research aims to estimate three parameters in a stochastic generalized logistic differential equation. We assume the intrinsic growth rate and shape parameters are constant bu…
A novel method and comparison of methods for constructing Markov bridges
F. Baltazar-Larios, Luz Judith R. Esparza
In this study, we address the central issue of statistical inference for Markov jump processes using discrete time observations. The primary problem at hand is to accurately estima…
Maximum likelihood estimation for a stochastic SEIR system for COVID-19
Fernando Baltazar-Larios, Francisco Delgado-Vences, Saul Diaz-Infante
The parameter estimation of epidemic data-driven models is a crucial task. In some cases, we can formulate a better model by describing uncertainty with appropriate noise terms. Ho…