Hamiltonian Monte Carlo (hmc) - Epidemiology

Relevant Publications

Scalable gradients enable Hamiltonian Monte Carlo sampling for phylodynamic inference under episodic birth-death-sampling models.

Issue Release: 2024

A vaccination-based COVID-19 model: Analysis and prediction using Hamiltonian Monte Carlo.

Issue Release: 2024

Bayesian Modeling for Nonstationary Spatial Point Process via Spatial Deformations.

Issue Release: 2024

Many-core algorithms for high-dimensional gradients on phylogenetic trees.

Issue Release: 2024

Scalable gradients enable Hamiltonian Monte Carlo sampling for phylodynamic inference under episodic birth-death-sampling models.

Issue Release: 2023

Many-core algorithms for high-dimensional gradients on phylogenetic trees.

Issue Release: 2023

Variational Hybrid Monte Carlo for Efficient Multi-Modal Data Sampling.

Issue Release: 2023

Inference on a Multi-Patch Epidemic Model with Partial Mobility, Residency, and Demography: Case of the 2020 COVID-19 Outbreak in Hermosillo, Mexico.

Issue Release: 2023

Accelerating Bayesian inference of dependency between mixed-type biological traits.

Issue Release: 2023

Monte Carlo samplers for efficient network inference.

Issue Release: 2023

LuxHMM: DNA methylation analysis with genome segmentation via hidden Markov model.

Issue Release: 2023

Developments of inverse analysis by Kalman filters and Bayesian methods applied to geotechnical engineering.

Issue Release: 2023

A review of the Bayesian approach with the MCMC and the HMC as a competitor of classical likelihood statistics for pharmacometricians.

Issue Release: 2023

Troubleshooting Bayesian cognitive models.

Issue Release: 2023

Fast reconstruction algorithm based on HMC sampling.

Issue Release: 2023

A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning.

Issue Release: 2022

Bayesian inference for fitting cardiac models to experiments: estimating parameter distributions using Hamiltonian Monte Carlo and approximate Bayesian computation.

Issue Release: 2022

Bayesian Inference for Mixed Gaussian GARCH-Type Model by Hamiltonian Monte Carlo Algorithm.

Issue Release: 2022

Development and Validation of Open-Source R Package HMCtdm for Therapeutic Drug Monitoring.

Issue Release: 2022

Hamiltonian Monte Carlo with strict convergence criteria reduces run-to-run variability in forensic DNA mixture deconvolution.

Issue Release: 2022

What are the Consequences for Early-Career Researchers?

What Are the Steps Involved in In Situ Hybridization?

How Can Public Health Policies Address AMR?

Why are Transmission-Based Precautions Important?

Who are Field Investigators in Epidemiology?

How Do Microorganisms Spread?

Why Study Single Gene Disorders in Epidemiology?

Why are Ventilators Important in Epidemiology?

What is the Global Impact of TB?

How Does Phase II Differ from Other Phases?

Partnered Content Networks

Relevant Topics