Accounting for contact network uncertainty in epidemic inferences with Approximate Bayesian Computation by Maxwell H. Wang, Jukka-Pekka Onnela

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Generative Bayesian Computation for Maximum Expected Utility by Nick Polson, Fabrizio Ruggeri, Vadim Sokolov

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glabcmcmc: a Python package for ABC-MCMC with local and global moves by Xuefei Cao, Shijia Wang, Yongdao Zhou

Subjects: “…Approximate Bayesian Computation…”
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Generative AI for Bayesian Computation by Nick Polson, Vadim Sokolov

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Understanding climate-sensitive tick development and diapause with a structured population model by Kamil Erguler, Anastasios Saratsis, Gerhard Dobler, Lidia Chitimia-Dobler

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Agent‐based versus correlative models of species distributions: Evaluation of predictive performance with real and simulated data by Jukka Sirén, Panu Somervuo, Otso Ovaskainen

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EEMtoolbox: A user‐friendly R package for flexible ensemble ecosystem modelling by Luz Valerie Pascal, Sarah A. Vollert, Malyon D. Bimler, Christopher M. Baker, Maude Vernet, Stefano Canessa, Christopher Drovandi, Matthew P. Adams

Subjects: “…approximate Bayesian computation…”
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Inferences for Skew-Wiener Degradation Model: Approximate Bayesian Computation via Gibbs-Step and Model Selection by Isyaku Muhammad, Mustapha Muhammad, Ren Aihua, Aiqiang Zhang

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Latent class analysis identifies risk groups to model the expected benefits of SARS-CoV-2 interventions among university students by Callum R. K. Arnold, Nita Bharti, Cara Exten, Meg Small, Sreenidhi Srinivasan, Suresh V. Kuchipudi, Vivek Kapur, Matthew J. Ferrari

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Rationalised experiment design for parameter estimation with sensitivity clustering by Harsh Chhajer, Rahul Roy

Subjects: “…Approximate Bayesian computation…”
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Integrating agent‐based models into the ensemble ecosystem modelling framework: A rewilding case study at the Knepp Estate, UK by Emily Neil, Ernesto Carrella, Richard Bailey

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Approximate Bayesian Computation for a Dual-Failure-Modes Models and Its Application to Failure Times Data by Mustapha Muhammad, Badamasi Abba, Jinsen Xiao

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Physics-Informed Neural Networks with Unknown Partial Differential Equations: An Application in Multivariate Time Series by Seyedeh Azadeh Fallah Mortezanejad, Ruochen Wang, Ali Mohammad-Djafari

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