ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1409.7715
  4. Cited By
Parameter inference and model selection in deterministic and stochastic
  dynamical models via approximate Bayesian computation: modeling a wildlife
  epidemic
v1v2 (latest)

Parameter inference and model selection in deterministic and stochastic dynamical models via approximate Bayesian computation: modeling a wildlife epidemic

26 September 2014
Libo Sun
Chihoon Lee
J. Hoeting
ArXiv (abs)PDFHTML

Papers citing "Parameter inference and model selection in deterministic and stochastic dynamical models via approximate Bayesian computation: modeling a wildlife epidemic"

7 / 7 papers shown
Title
Inference for the stochastic FitzHugh-Nagumo model from real action
  potential data via approximate Bayesian computation
Inference for the stochastic FitzHugh-Nagumo model from real action potential data via approximate Bayesian computation
Adeline Samson
M. Tamborrino
I. Tubikanec
53
2
0
28 May 2024
Accelerating inference for stochastic kinetic models
Accelerating inference for stochastic kinetic models
Tom Lowe
Andrew Golightly
Chris Sherlock
89
5
0
06 Jun 2022
Referenced Thermodynamic Integration for Bayesian Model Selection:
  Application to COVID-19 Model Selection
Referenced Thermodynamic Integration for Bayesian Model Selection: Application to COVID-19 Model Selection
I. Hawryluk
Swapnil Mishra
Seth Flaxman
Samir Bhatt
T. Mellan
18
1
0
08 Sep 2020
Spectral Density-Based and Measure-Preserving ABC for partially observed
  diffusion processes. An illustration on Hamiltonian SDEs
Spectral Density-Based and Measure-Preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs
E. Buckwar
M. Tamborrino
I. Tubikanec
80
36
0
04 Mar 2019
Bayesian Inference of Selection in the Wright-Fisher Diffusion Model
Bayesian Inference of Selection in the Wright-Fisher Diffusion Model
Jeffrey J. Gory
Radu Herbei
L. Kubatko
25
3
0
07 Nov 2017
On Consistency of Approximate Bayesian Computation
On Consistency of Approximate Bayesian Computation
David T. Frazier
G. Martin
Christian P. Robert
46
5
0
21 Aug 2015
A penalized simulated maximum likelihood approach in parameter
  estimation for stochastic differential equations
A penalized simulated maximum likelihood approach in parameter estimation for stochastic differential equations
Libo Sun
Chihoon Lee
J. Hoeting
101
10
0
19 May 2013
1