Frontiers Appl. Math. Stat.

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Publications

volume 9, 2023

Mohamed Reda Abonazel, Fuad A. Awwad, Elsayed M. Tag El Din, B. M. Golam Kibria, Ibrahim G. Khattab
Developing a two-parameter Liu estimator for the COM-Poisson regression model: Application and simulation. Frontiers Appl. Math. Stat. 9 (2023)
Stephen Coombes
Next generation neural population models. Frontiers Appl. Math. Stat. 9 (2023)
Appanah Rao Appadu, Ramoshweu Lebelo, Hagos Hailu Gidey, Bilge Inan
Editorial: Modeling and numerical simulations with differential equations in mathematical biology, medicine, and the environment. Frontiers Appl. Math. Stat. 9 (2023)
Sylvie Diane Djiomba Njankou, Farai Nyabadza
Modeling the potential influence of economic migration on Ebola virus disease transmission dynamics. Frontiers Appl. Math. Stat. 9 (2023)
Frank Yannick Massoda Tchoussi, Francesco Finazzi
A statistical methodology for classifying earthquake detections and for earthquake parameter estimation in smartphone-based earthquake early warning systems. Frontiers Appl. Math. Stat. 9 (2023)
Anas Lasri Doukkali, Tommaso Lorenzi, Benjamin J. Parcell, Jennifer L. Rohn, Ruth Bowness
A hybrid individual-based mathematical model to study bladder infections. Frontiers Appl. Math. Stat. 9 (2023)
Michael O. Adeniyi, Oluwaseun R. Aderele, Olajumoke Y. Oludoun, Matthew Ekum, Maba B. Matadi, Segun I. Oke, Daniel Ntiamoah
A mathematical and exploratory data analysis of malaria disease transmission through blood transfusion. Frontiers Appl. Math. Stat. 9 (2023)
Eshetu B. Derzie, Justin B. Munyakazi, Tekle G. Dinka
A NSFD method for the singularly perturbed Burgers-Huxley equation. Frontiers Appl. Math. Stat. 9 (2023)
Paula Ann Gabrielle Yap, Zython Paul Lachica, Abel Leandro Paras, Ivy Grace Panogalinog, Jerrold M. Tubay, May Anne E. Mata
An agent-based model of COVID-19 dynamics during enhanced community quarantine: Exploring the role of food relief system in the presence of two SARS-CoV-2 variants. Frontiers Appl. Math. Stat. 9 (2023)
Marc Bocquet
Surrogate modeling for the climate sciences dynamics with machine learning and data assimilation. Frontiers Appl. Math. Stat. 9 (2023)
Reza Pakyari, Omama M. Al-Hamed
On testing exponentiality under Type-I censoring. Frontiers Appl. Math. Stat. 9 (2023)
Aakash M, C. Gunasundari, Qasem M. Al-Mdallal
Mathematical modeling and simulation of SEIR model for COVID-19 outbreak: A case study of Trivandrum. Frontiers Appl. Math. Stat. 9 (2023)
Vincenzo Schiano Di Cola, Dea M. L. Mango, Alessandro Bottino, Lorenzo Andolfo, Salvatore Cuomo
Magnetic resonance imaging enhancement using prior knowledge and a denoising scheme that combines total variation and histogram matching techniques. Frontiers Appl. Math. Stat. 9 (2023)
Merlin Pelz, Michael J. Ward
Symmetry-breaking bifurcations for compartmental reaction kinetics coupled by two bulk diffusing species with comparable diffusivities in 2-D. Frontiers Appl. Math. Stat. 9 (2023)
Anthony O'Hare
A toy model of food production in a connected landscape. Frontiers Appl. Math. Stat. 9 (2023)
Ethan Peters, Joshua C. Hall
The value of being the decisive voter: Exploratory evidence from a hedonic model. Frontiers Appl. Math. Stat. 9 (2023)
Wafaa I. M. Ibrahim, Ahmed M. Gad, Abd-Elnaser S. Abd-Rabou
A mixed effects changepoint quantile regression model for longitudinal data with application on COVID-19 data. Frontiers Appl. Math. Stat. 9 (2023)
Jacques Demongeot, Pierre Magal
Editorial: Data driven modeling in mathematical biology. Frontiers Appl. Math. Stat. 9 (2023)
Harren J. Campos, Michelle N. Raza, Jayrold P. Arcede, Joey Genevieve T. Martinez, Randy L. Caga-anan
Vaccination and variants: A COVID-19 multi-strain model evolution for the Philippines. Frontiers Appl. Math. Stat. 9 (2023)
Ginger Egberts, Fred J. Vermolen, Paul van Zuijlen
High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations. Frontiers Appl. Math. Stat. 9 (2023)
C. J. M. Musters, Don L. DeAngelis, Jeffrey A. Harvey, Wolf M. Mooij, Peter M. van Bodegom, Geert R. de Snoo
Enhancing the predictability of ecology in a changing world: A call for an organism-based approach. Frontiers Appl. Math. Stat. 9 (2023)

volume 8, 2022