16-18 Oct 2024 Amsterdam (Netherlands)

Posters

Poster titles and presenters

  • A Bayesian framework to evaluate evidence in cases of alleged cheating with secret codes in sports (Aafko Boonstra)
  • A Dynamic Dirichlet Process Mixture Model for the Partisan Realignment of Civil Rights Issues in the U.S. House of Representatives (Yuki Shiraito)
  • A Good check on the Bayes factor (Nikola Sekulovski)
  • A Structured Estimator for large Covariance Matrices in the Presence of Pairwise and Spatial Covariates (Martin Metodiev)
  • Bayesian Copula-based Latent Variable Models (Radu V. Craiu)
  • Bayesian Gaussian Process Beta Regression models for the social sciences: a case study on spatial proportion data from archaeology (Jasmine Vieri)
  • Bayesian Hierarchical Model for Estimating Age and Sex Patterns of Bilateral Migration in Europe (Aysha Basheer)
  • Bayesian Model-Averaged Analysis of 350,757 Coin Flips (Bartoš František)
  • Bayesian Sample Size Determination for Multilevel Models (Camila Barragan Ibanez and Ulrich Lösener)
  • Bayesian Survey Data Integration: Can We Enhance Inference and Reduce Costs? (Camilla Salvatore)
  • Causally sound priors for binary experiments (Nicholas Irons)
  • Contrasting modes of cultural evolution: Kra-Dai languages and weaving technologies (Emma Kopp)
  • Effect fusion priors: a principled Bayesian approach for merging levels of a categorical variable (Luna Fazio)
  • Enhancing the use of family planning service statistics to inform estimates of modern contraceptive prevalence in low- and middle-income countries (Shauna Mooney)
  • Generalized Decomposition Priors on R2 (Javier Enrique Aguilar Romero)
  • Influence of peers versus computers on decision making; Decision strategies differences in late childhood and early adolescence (Jacqueline Zadelaar)
  • MCMC methods for single-case data (Bonne Zijlstra)
  • Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo (Hester Huijsdens)
  • The role of information gain and social interaction on infants' attention in a semi-naturalistic setting (Olesia Moiseenko)
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