Publikationen, an denen er mitarbeitet PATRICIA ROMÁN ROMÁN (65)

2023

  1. First Passage and First Exit Times for diffusion processes related to a general growth curve

    Communications in Nonlinear Science and Numerical Simulation, Vol. 126

  2. Statistical analysis and first-passage-time applications of a lognormal diffusion process with multi-sigmoidal logistic mean

    Statistical Papers, Vol. 64, Núm. 5, pp. 1391-1438

2022

  1. Study of a general growth model

    Communications in Nonlinear Science and Numerical Simulation, Vol. 107

2021

  1. Applications of the multi-sigmoidal deterministic and stochastic logistic models for plant dynamics

    Applied Mathematical Modelling, Vol. 92, pp. 884-904

  2. Hyperbolastic models from a stochastic differential equation point of view

    Mathematics, Vol. 9, Núm. 16

  3. T-growth stochastic model: Simulation and inference via metaheuristic algorithms

    Mathematics, Vol. 9, Núm. 9

  4. Two multi-sigmoidal diffusion models for the study of the evolution of the covid-19 pandemic

    Mathematics, Vol. 9, Núm. 19

  5. Using first-passage times to analyze tumor growth delay

    Mathematics, Vol. 9, Núm. 6

2020

  1. Diffusion Processes for Weibull-Based Models

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Hyperbolastic type-III diffusion process: Obtaining from the generalized Weibull diffusion process

    Mathematical Biosciences and Engineering, Vol. 17, Núm. 1, pp. 814-833

  3. Inference on an heteroscedastic Gompertz tumor growth model

    Mathematical Biosciences, Vol. 328

  4. Two stochastic differential equations for modeling oscillabolastic-type behavior

    Mathematics, Vol. 8, Núm. 2

2019

  1. A note on estimation of multi-sigmoidal gompertz functions with random noise

    Mathematics, Vol. 7, Núm. 6

2018

  1. A hyperbolastic type-I diffusion process: Parameter estimation by means of the firefly algorithm

    BioSystems, Vol. 163, pp. 11-22

  2. On a Non-homogeneous Gompertz-Type Diffusion Process: Inference and First Passage Time

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Some notes about inference for the lognormal diffusion process with exogenous factors

    Mathematics, Vol. 6, Núm. 5

  4. The Hubbert diffusion process: Estimation via simulated annealing and variable neighborhood search procedures—application to forecasting peak oil production

    Applied Stochastic Models in Business and Industry, Vol. 34, Núm. 3, pp. 376-394

2017

  1. Estimating a non-homogeneous Gompertz process with jumps as model of tumor dynamics

    Computational Statistics and Data Analysis, Vol. 107, pp. 18-31

  2. Fitting real data by means of non-homogeneous lognormal diffusion processes

    Statistics and its Interface, Vol. 10, Núm. 4, pp. 585-600

  3. Modeling oil production and its peak by means of a stochastic diffusion process based on the Hubbert curve

    Energy, Vol. 133, pp. 455-470