Variational Bayesian Inference for Parametric and Nonparametric Regression With Missing Data
Faes, C., Ormerod, J. T., Wand, M. P.
Published in Journal of the American Statistical Association (01.09.2011)
Published in Journal of the American Statistical Association (01.09.2011)
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Gaussian Variational Approximate Inference for Generalized Linear Mixed Models
Ormerod, J. T., Wand, M. P.
Published in Journal of computational and graphical statistics (01.03.2012)
Published in Journal of computational and graphical statistics (01.03.2012)
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Journal Article
Bayesian hypothesis tests with diffuse priors: Can we have our cake and eat it too?
Ormerod, J. T., Stewart, M., Yu, W., Romanes, S. E.
Published in Australian & New Zealand journal of statistics (01.06.2024)
Published in Australian & New Zealand journal of statistics (01.06.2024)
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Fast and Accurate Binary Response Mixed Model Analysis via Expectation Propagation
Hall, P., Johnstone, I.M., Ormerod, J.T., Wand, M.P., Yu, J.C.F.
Published in Journal of the American Statistical Association (11.12.2020)
Published in Journal of the American Statistical Association (11.12.2020)
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ON SEMIPARAMETRIC REGRESSION WITH O'SULLIVAN PENALIZED SPLINES
Wand, M. P., Ormerod, J. T.
Published in Australian & New Zealand journal of statistics (01.06.2008)
Published in Australian & New Zealand journal of statistics (01.06.2008)
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Wavelet-based gradient boosting
Dubossarsky, E., Friedman, J. H., Ormerod, J. T., Wand, M. P.
Published in Statistics and computing (01.01.2016)
Published in Statistics and computing (01.01.2016)
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Corrigendum: ON SEMIPARAMETRIC REGRESSION WITH O'SULLIVAN PENALISED SPLINES
Wand, M. P., Ormerod, J. T.
Published in Australian & New Zealand journal of statistics (01.06.2010)
Published in Australian & New Zealand journal of statistics (01.06.2010)
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Journal Article
Modelling Inverse Gaussian Data with Censored Response Values : EM versus MCMC
Sparks, R. S., Sutton, G., Toscas, P., Ormerod, J. T.
Published in Advances in decision sciences (2011)
Published in Advances in decision sciences (2011)
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Approximate Bayesian inference for latent Gaussian models by using integrated nested laplace approximations. Commentary
RUE, Havard, MARTINO, Sara, CASARIN, Roberto, MARIN, Jean-Michel, RICHARDSON, Sylvia, FRIGESSI, Arnoldo, PAPASPILIOPOULOS, Omiros, AAS, Philos Kjersti, BANERJEE, Sudipto, CASELLA, George, DEMIRIS, Nikolaos, EVERITT, Richard, CHOPIN, Nicolas, FAHRMEIR, Ludwig, KNEIB, Thomas, FERREIRA, Marco A. R, FUENTES, Montserrat, GELFAND, Alan, GELMAN, Andrew, HASLETT, John, SALTER-TOWNSHEND, Michael, FRIEL, Nial, HESKES, Tom, ROBERTS, Gareth, CSEKE, Botond, HJORT, Nils Lid, TITTERINGTON, D. M, HODGES, Jim, JUNGBACKER, Borus, KOOPMAN, Siem Jan, LAWSON, Andrew, YOUNGJO LEE, LINDGREN, Finn, MCCAUSLAND, William J, ROBERT, Christian P, MCGRORY, C, MARRIOTT, J, PETTITT, A. N, MONDAL, Debashis, NELDER, John, NOTT, David, KOHN, Robert, ORMEROD, J. T, WAND, M. P, RASMUSSEN, Carl Edward, DIGGLE, Peter J, RIGBY, R. A, SEEGER, Matthias, SIMPSON, D. P, SKAUG, Hans J, SOLIS-TRAPALA, I. L, SØRBYE, S. H, GODTLIEBSEN, F, HINDBERG, K, ØIGARD, T. A, HADZIAVDIC, V, HELD, Leonhard, RIEBLER, Andrea, JOHANSEN, Adam M, SAHU, Sujit K
Published in Journal of the Royal Statistical Society. Series B, Statistical methodology (2009)
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Published in Journal of the Royal Statistical Society. Series B, Statistical methodology (2009)
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