Cover Image

Comparing Bayesian and Frequentist Inference in Biological Models: A Comparative Analysis of Accuracy, Uncertainty, and Identifiability

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mohammed, Mohammed A. Y., Karami, Hamed, Chowell, Gerardo
Format:	Preprint
Published:	2025
Subjects:	Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Comparative study of Bayesian and Frequentist methods for epidemic forecasting: Insights from simulated and historical data
by: Karami, Hamed, et al.
Published: (2025)

BayesianFitForecast: A User-Friendly R Toolbox for Parameter Estimation and Forecasting with Ordinary Differential Equations
by: Karami, Hamed, et al.
Published: (2024)

A Tutorial on Structural Identifiability of Epidemic Models Using StructuralIdentifiability.jl
by: Liyanage, Yuganthi R., et al.
Published: (2025)

Structural and Practical Identifiability of Phenomenological Growth Models for Epidemic Forecasting
by: Liyanage, Yuganthi R., et al.
Published: (2025)

COVID-19 Forecasting from U.S. Wastewater Surveillance Data: A Retrospective Multi-Model Study (2022-2024)
by: Alhassan, Faharudeen, et al.
Published: (2025)

Unveiling Scaling Laws of Parameter Identifiability and Uncertainty Quantification in Data-Driven Biological Modeling
by: Wang, Shun, et al.
Published: (2026)

Comparative Analysis of Practical Identifiability Methods for an SEIR Model
by: Saucedo, Omar, et al.
Published: (2024)

A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology
by: Wang, Shun, et al.
Published: (2025)

Frequentist Asymptotics of Variational Laplace
by: Keck, Janis
Published: (2025)

Identifying Therapeutic Targets for Triple-Negative Breast Cancer using a Novel Mathematical Model of the Tumor Microenvironment
by: Adams, Kyle, et al.
Published: (2026)

Riemannian vs. Euclidean Representation of Gait Kinematics: A Comparative Analysis
by: Bůžek, Tomáš
Published: (2025)

Reducing Uncertainty Through Mutual Information in Structural and Systems Biology
by: Zaballa, Vincent D., et al.
Published: (2024)

Essential Workers at Risk: An Agent-Based Model (SAFE-ABM) with Bayesian Uncertainty Quantification
by: Amona, Elizabeth B., et al.
Published: (2025)

A Novel Framework for Comparing Combination Therapy Outcomes Using Mechanistic Graph Models
by: Sengupta, Dipayan, et al.
Published: (2025)

Using PyBioNetFit to Leverage Qualitative and Quantitative Data in Biological Model Parameterization and Uncertainty Quantification
by: Miller, Ely F., et al.
Published: (2025)

SequenceLab: A Comprehensive Benchmark of Computational Methods for Comparing Genomic Sequences
by: Rumpf, Maximilian-David, et al.
Published: (2023)

Comparing AI versus Optimization Workflows for Simulation-Based Inference of Spatial-Stochastic Systems
by: Ramirez-Sierra, Michael A., et al.
Published: (2024)

Beyond Bayesian Inference: The Correlation Integral Likelihood Framework and Gradient Flow Methods for Deterministic Sampling
by: Gwiazda, Piotr, et al.
Published: (2025)

Hillclimb-Causal Inference: A Data-Driven Approach to Identify Causal Pathways Among Parental Behaviors, Genetic Risk, and Externalizing Behaviors in Children
by: Wei, Mengman, et al.
Published: (2025)

A Bayesian Modelling Framework with Model Comparison for Epidemics with Super-Spreading
by: Craddock, Hannah, et al.
Published: (2025)

Linguistic Laws Meet Protein Sequences: A Comparative Analysis of Subword Tokenization Methods
by: Suyunu, Burak, et al.
Published: (2024)

The Emergent Aging Model: Aging as an Emergent Property of Biological Systems
by: Qin, Hong
Published: (2024)

BioBO: Biology-informed Bayesian Optimization for Perturbation Design
by: Li, Yanke, et al.
Published: (2025)

Reduced-Precision Stochastic Simulation for Mathematical Biology
by: Kimpson, Tom, et al.
Published: (2026)

A Comparative Analysis of the Ensemble Methods for Drug Design
by: Davronova, Rifkat, et al.
Published: (2020)

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists
by: Ivanova, Mariya L., et al.
Published: (2025)

Comparative analysis of whole-body center-of-mass estimation methods in dynamic and static activities using marker-based systems
by: Peng, Jingshu, et al.
Published: (2024)

GRIMM: Genetic stRatification for Inference in Molecular Modeling
by: Babjac, Ashley, et al.
Published: (2026)

AI Detectors are Poor Western Blot Classifiers: A Study of Accuracy and Predictive Values
by: Gosselin, Romain-Daniel
Published: (2024)

A Comprehensive Guide to Simulation-based Inference in Computational Biology
by: Wang, Xiaoyu, et al.
Published: (2024)

BaMANI: Bayesian Multi-Algorithm causal Network Inference
by: Latifizadeh, Habibolla, et al.
Published: (2025)

An Approach for Molecular and Biological Characterizations of Virulent Influenza A Viruses
by: Cadena, Meitner, et al.
Published: (2024)

Stochasticity and Practical Identifiability in Epidemic Models: A Monte Carlo Perspective
by: Mattamira, Chiara, et al.
Published: (2025)

Mathematical Methods for Assessing the Accuracy of Pre-Planned and Guided Surgical Osteotomies
by: Nahass, George R., et al.
Published: (2024)

Comparative Analysis of Data Preprocessing Methods, Feature Selection Techniques and Machine Learning Models for Improved Classification and Regression Performance on Imbalanced Genetic Data
by: Kaur, Arshmeet, et al.
Published: (2024)

Biomarker Integration and Biosensor Technologies Enabling AI-Driven Insights into Biological Aging
by: Kushner, Jared A, et al.
Published: (2025)

Evaluating Cognitive Assessment Tools:A Comparative Analysis of MMSE, RUDAS, SAGE, ADAS and MoCA for Early Dementia Detection
by: Naole, Saransh, et al.
Published: (2025)

Pharmacometrics Modeling via Physics-Informed Neural Networks: Integrating Time-Variant Absorption Rates and Fractional Calculus for Enhancing Prediction Accuracy
by: Ahmadi, Nazanin, et al.
Published: (2024)

Assessment of Simulation-based Inference Methods for Stochastic Compartmental Models in Epidemiological Research
by: Wieland, Vincent, et al.
Published: (2025)

Process Bigraphs and the Architecture of Compositional Systems Biology
by: Agmon, Eran, et al.
Published: (2025)