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Fernando Baltazar Larios
Fernando Baltazar Larios
Professor of Mathematics in UNAM
Verificeret mail på ciencias.unam.mx
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År
Maximum likelihood estimation for integrated diffusion processes
F Baltazar-Larios, M Sørensen
Contemporary quantitative finance: Essays in honour of eckhard platen, 407-423, 2010
272010
A stochastic expectation–maximisation (EM) algorithm for construction of mortality tables
LJR Esparza, F Baltazar-Larios
Annals of Actuarial Science 12 (1), 1-22, 2018
52018
Bayesian estimation for the Markov-modulated diffusion risk model
F Baltazar-Larios, LJR Esparza
Selected Contributions on Statistics and Data Science in Latin America: 33 …, 2019
42019
Maximum likelihood estimation for a stochastic SEIR system with a COVID-19 application
F Baltazar-Larios, F Delgado-Vences, S Diaz-Infante
International Journal of Computer Mathematics 101 (12), 1356-1378, 2024
32024
Inference for a discretized stochastic logistic differential equation and its application to biological growth
F Delgado-Vences, F Baltazar-Larios, AO Vargas, E Morales-Bojórquez, ...
Journal of Applied Statistics 50 (6), 1231-1254, 2023
32023
Statistical inference for partially observed Markov-modulated diffusion risk model
F Baltazar-Larios, LJR Esparza
Methodology and Computing in Applied Probability 24 (2), 571-593, 2022
32022
Approximations of the ultimate ruin probability in the classical risk model using the Banach's fixed-point theorem and the continuity of the ruin probability
J Martínez Sánchez, F Baltazar-Larios
Kybernetika 58 (2), 254-276, 2022
22022
Parameter estimation and model selection for stochastic differential equations for biological growth
F Baltazar-Larios, FJ Delgado-Vences, AO Vargas
arXiv preprint arXiv:2301.08294, 2023
12023
A novel method and comparison of methods for constructing Markov bridges
F Baltazar-Larios, LJR Esparza
arXiv preprint arXiv:2301.06098, 2023
12023
Bayesian estimation for a mortality model via the aging process
LJR Esparza, F Baltazar-Larios
Statistics and Its Interface 15 (1), 19-28, 2022
12022
Likelihood estimation for stochastic differential equations with mixed effects
F Baltazar-Larios, M Bladt, M Sørensen
arXiv preprint arXiv:2408.17257, 2024
2024
Insights of the Intersection of Phase-Type Distributions and Positive Systems
LJR Esparza, FB Larios
arXiv preprint arXiv:2408.10142, 2024
2024
Simulating diffusion bridges using the Wiener chaos expansion
F Delgado-Vences, GA Salcedo-Varela, F Baltazar-Larios
arXiv preprint arXiv:2401.06248, 2024
2024
Statistical inference for a Stochastic generalized logistic differential equation
ELG Fernando Baltazar-Larios, Francisco Delgado-Vences, Saul Diaz-Infante
Communications in Nonlinear Science and Numerical Simulation, 2024
2024
Statistical inference for a stochastic partial differential equation related to an ecological niche
F Baltazar‐Larios, F Delgado‐Vences, L Peralta
Mathematical Methods in the Applied Sciences, 2024
2024
Maximum Likelihood Estimation for a Markov-Modulated Jump-Diffusion Model
B Reynoso, F Baltazar-Larios, L Eslava
Interdisciplinary Statistics in Mexico: AME Virtual Meeting, September 10–11 …, 2022
2022
Mortality modeling in Mexico 2000-2015 using phase type distributions
F Baltazar Larios, LJR Esparza
Inter disciplina 9 (25), 305-328, 2021
2021
Modelación de la mortalidad en México 2000-2015 utilizando distribuciones tipo fase
F Baltazar Larios, LJR Esparza
Inter disciplina 9 (25), 305-328, 2021
2021
A minimum-entropy-production criterion to compare credit risk models
F Baltazar-Larios, PP Longoria
Numerical Analysis and Applied Mathematics ICNAAM 2012: International …, 2012
2012
Statistical inference for a stochastic generalized logistic differential equation
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Artikler 1–20