Browsing by Author "Rossell Ribera, David"

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  • Approximate Laplace approximations for scalable model selection
    Rossell Ribera, David; Abril Pla, Oriol; Bhattacharya, Anirban (Wiley, 2021)
    We propose the approximate Laplace approximation (ALA) to evaluate integrated likelihoods, a bottleneck in Bayesian model selection. The Laplace approximation (LA) is a popular tool that speeds up such computation and ...
  • Concentration of posterior model probabilities and normalized L0 criteria
    Rossell Ribera, David (International Society for Bayesian Analysis, 2022)
    We study frequentist properties of Bayesian and L0 model selection, with a focus on (potentially non-linear) high-dimensional regression. We propose a construction to study how posterior probabilities and normalized L0 ...
  • Dependence in elliptical partial correlation graphs
    Rossell Ribera, David; Zwiernik, Piotr (Institute of Mathematical StatisticsBernoulli Society for Mathematical Statistics and Probabilit, 2021)
    The Gaussian model equips strong properties that facilitate studying and interpreting graphical models. Specifically it reduces conditional independence and the study of positive association to determining partial correlations ...
  • General Bayesian loss function selection and the use of improper models
    Jewson, Jack; Rossell Ribera, David (Oxford University Press, 2022)
    Statisticians often face the choice between using probability models or a paradigm defined by minimising a loss function. Both approaches are useful and, if the loss can be re-cast into a proper probability model, there ...
  • Heterogeneous large datasets integration using Bayesian factor regression
    Avalos-Pacheco, Alejandra; Rossell Ribera, David; Savage, Richard S. (International Society for Bayesian Analysis, 2022)
    Two key challenges in modern statistical applications are the large amount of information recorded per individual, and that such data are often not collected all at once but in batches. These batch effects can be complex, ...
  • Revealing the reactivity of individual chemical entities in complex mixtures: the chemistry behind bio-oil upgrading
    Palacio Lozano, Diana Catalina; Jones, Hugh E.; Gavard, Remy; Thomas, Mary J.; Ramírez, Claudia X.; Wootton, Christopher A.; Sarmiento Chaparro, José Aristóbulo; O’Connor, Peter B.; Spencer, Simon E. F.; Rossell Ribera, David; Mejía-Ospino, Enrique; Witt, Matthias; Barrow, Mark P. (American Chemical Society (ACS), 2022)
    Bio-oils are precursors for biofuels but are highly corrosive necessitating further upgrading. Furthermore, bio-oil samples are highly complex and represent a broad range of chemistries. They are complex mixtures not simply ...
  • Rhapso: automatic stitching of mass segments from fourier transform ion cyclotron resonance mass spectra
    Gavard, Remy; Guzman, Alexander; Rossell Ribera, David; Spencer, Simon E. F.; Barrow, Mark P. (American Chemical Society (ACS), 2019)
    Fourier transform ion cyclotron resonance mass spectrometry (FTICR MS) provides the resolution and mass accuracy needed to analyze complex mixtures such as crude oil. When mixtures contain many different components, a ...
  • Specification analysis for technology use and teenager well-being: statistical validity and a bayesian proposal
    Semken, Christoph; Rossell Ribera, David (Oxford University Press, 2022)
    A key issue in science is assessing robustness to data analysis choices, while avoiding selective reporting and providing valid inference. Specification Curve Analysis is a tool intended to prevent selective reporting. ...

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