Browsing byAuthorWand, MP

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Issue DateTitleAuthor(s)
2005-03-01Exact likelihood ratio tests for penalised splinesCrainiceanu, C; Ruppert, D; Claeskens, G; Wand, MP
2010-05-01Explaining variational approximationsOrmerod, JT; Wand, MP
2009-01-01Explicit connections between longitudinal data analysis and kernel machinesPearce, ND; Wand, MP
2016-01-01The explicit form of expectation propagation for a simple statistical modelKim, ASI; Wand, MP
2018Factor graph fragmentization of expectation propagationChen, WY; Wand, MP
2020Fast and Accurate Binary Response Mixed Model Analysis via Expectation PropagationHall, P; Johnstone, IM; Ormerod, JT; Wand, MP; Yu, JCF
2017-01-02Fast Approximate Inference for Arbitrarily Large Semiparametric Regression Models via Message PassingWand, MP
2023-05-15Fast approximate inference for multivariate longitudinal dataHughes, DM; García-Fiñana, M; Wand, MP
1996-01-01Fast Computation of Auxiliary Quantities in Local Polynomial RegressionTurlach, BA; Wand, MP
2008-05-15Feature significance for multivariate kernel density estimationDuong, T; Cowling, A; Koch, I; Wand, MP
2007-06-01Feature significance in generalized additive modelsGanguli, B; Wand, MP
2007-08-01Fisher information for generalised linear mixed modelsWand, MP
2014-01-01Fully simplified multivariate normal updates in non-conjugate variational message passingWand, MP
2011-08-05Functional regression via variational bayesGoldsmith, J; Wand, MP; Crainiceanu, C
2012-04-23Gaussian variational approximate inference for generalized linear mixed modelsOrmerod, JT; Wand, MP
2006-02-01General design Bayesian generalized linear mixed modelsZhao, Y; Staudenmayer, J; Coull, BA; Wand, MP
2018-09-01Generalised additive mixed models analysis via gammSlicePham, TH; Wand, MP
2011-01-01Generalised Extreme Value geoadditive model analysis via variational BayesNeville, SE; Wand, MP
2008-01-01Generalised linear mixed model analysis via sequential Monte Carlo samplingFan, Y; Leslie, DS; Wand, MP
2000-09Generalized additive distributed lag models: quantifying mortality displacement.Zanobetti, A; Wand, MP; Schwartz, J; Ryan, LM