Quantification of the weight of fingerprint evidence using a ROC-based Approximate Bayesian Computation algorithm for model selection

Bayesian Computation ◽

Computation Algorithm ◽

Corrigendum to “Quantification of the weight of fingerprint evidence using a ROC-based Approximate Bayesian Computation algorithm for model selection”

Electronic Journal of Statistics ◽

10.1214/21-ejs1886 ◽

2021 ◽

Vol 15 (2) ◽

Author(s):

Jessie Hendricks ◽

Cedric Neumann ◽

Christopher P. Saunders

Keyword(s):

Model Selection ◽

Bayesian Computation ◽

Computation Algorithm ◽

Model selection and parameter estimation in structural dynamics using approximate Bayesian computation

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2017.06.017 ◽

2018 ◽

Vol 99 ◽

pp. 306-325 ◽

Cited By ~ 19

Author(s):

Anis Ben Abdessalem ◽

Nikolaos Dervilis ◽

David Wagg ◽

Keith Worden

Keyword(s):

Parameter Estimation ◽

Model Selection ◽

Structural Dynamics ◽

Bayesian Computation ◽

SpartaABC: a web server to simulate sequences with indel parameters inferred using an approximate Bayesian computation algorithm

Nucleic Acids Research ◽

10.1093/nar/gkx322 ◽

2017 ◽

Vol 45 (W1) ◽

pp. W453-W457 ◽

Cited By ~ 3

Author(s):

Haim Ashkenazy ◽

Eli Levy Karin ◽

Zach Mertens ◽

Reed A Cartwright ◽

Tal Pupko

Keyword(s):

Web Server ◽

Bayesian Computation ◽

Computation Algorithm ◽

Approximate Bayesian Computation Applied to Model Selection and Calibration in Cell Proliferation

10.23967/wccm-eccomas.2020.070 ◽

2021 ◽

Author(s):

N. Silva ◽

B. Loiola ◽

J. Costa ◽

H. Orlande

Keyword(s):

Cell Proliferation ◽

Model Selection ◽

Bayesian Computation ◽

Model Selection in Historical Research Using Approximate Bayesian Computation

PLoS ONE ◽

10.1371/journal.pone.0146491 ◽

2016 ◽

Vol 11 (1) ◽

pp. e0146491 ◽

Cited By ~ 9

Author(s):

Xavier Rubio-Campillo

Keyword(s):

Model Selection ◽

Historical Research ◽

Bayesian Computation ◽

Approximate Bayesian Computation by Subset Simulation for model selection in dynamical systems

Procedia Engineering ◽

10.1016/j.proeng.2017.09.291 ◽

2017 ◽

Vol 199 ◽

pp. 1056-1061 ◽

Cited By ~ 1

Author(s):

Majid K. Vakilzadeh ◽

James L. Beck ◽

Thomas Abrahamsson

Keyword(s):

Dynamical Systems ◽

Model Selection ◽

Bayesian Computation ◽

Subset Simulation ◽

Optimal parallelization of a sequential approximate Bayesian computation algorithm

Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC) ◽

10.1109/wsc.2012.6465244 ◽

2012 ◽

Author(s):

Jean-Michel Marin ◽

Pierre Pudlo ◽

Mohammed Sedki

Keyword(s):

Bayesian Computation ◽

Computation Algorithm ◽

Model selection and parameter estimation in tumor growth models using approximate Bayesian computation-ABC

Computational and Applied Mathematics ◽

10.1007/s40314-017-0479-0 ◽

2017 ◽

Vol 37 (3) ◽

pp. 2795-2815 ◽

Cited By ~ 3

Author(s):

José Mir Justino da Costa ◽

Helcio Rangel Barreto Orlande ◽

Wellington Betencurte da Silva

Keyword(s):

Parameter Estimation ◽

Model Selection ◽

Tumor Growth ◽

Growth Models ◽

Bayesian Computation ◽

Tumor Growth Models ◽

A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation

Nature Protocols ◽

10.1038/nprot.2014.025 ◽

2014 ◽

Vol 9 (2) ◽

pp. 439-456 ◽

Cited By ~ 112

Author(s):

Juliane Liepe ◽

Paul Kirk ◽

Sarah Filippi ◽

Tina Toni ◽

Chris P Barnes ◽

...

Keyword(s):

Experimental Data ◽

Parameter Estimation ◽

Systems Biology ◽

Model Selection ◽

Bayesian Computation ◽

New approximate Bayesian computation algorithm for censored data

Computational Statistics ◽

10.1007/s00180-021-01167-3 ◽

2021 ◽

Author(s):

Kristin McCullough ◽

Tatiana Dmitrieva ◽

Nader Ebrahimi

Keyword(s):

Censored Data ◽

Bayesian Computation ◽

Computation Algorithm ◽