A novel reversible jump algorithm for generalized linear models von PAPATHOMAS, M., DELLAPORTAS, P., VASDEKIS, V. G. S.

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Modelling nonlinearities and heavy tails via threshold normal mixture GARCH models von Giannikis, D., Vrontos, I.D., Dellaportas, P.

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Multivariate mixtures of normals with unknown number of components von Dellaportas, Petros, Papageorgiou, Ioulia

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Bayesian Analysis of Errors-in-Variables Regression Models von Dellaportas, Petros, Stephens, David A.

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Modelling volatility asymmetries: a Bayesian analysis of a class of tree structured multivariate GARCH models von Dellaportas, P., Vrontos, I. D.

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WGBSSuite: simulating whole-genome bisulphite sequencing data and benchmarking differential DNA methylation analysis tools von Rackham, OJL, Dellaportas, P, Petretto, E, Bottolo, L

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Fatigue loading parameter identification of a wind turbine operating in complex terrain von Mouzakis, F, Morfiadakis, E, Dellaportas, P

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Inference for some multivariate ARCH and GARCH models von Vrontos, I. D., Dellaportas, P., Politis, D. N.

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A Bayesian Approach for Analysis of Whole-Genome Bisulfite Sequencing Data Identifies Disease-Associated Changes in DNA Methylation von Rackham, OJL, Langley, SR, Oates, T, Vradi, E, Harmston, N, Srivastava, PK, Behmoaras, J, Dellaportas, P, Bottolo, L, Petretto, E

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Bayesian Inference for Generalized Linear and Proportional Hazards Models via Gibbs Sampling von Dellaportas, P., Smith, A. F. M.

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Sparse Spectral Bayesian Permanental Process with Generalized Kernel von Sellier, J, Dellaportas, P

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Bayesian online change point detection with Hilbert space approximate Student-t process von Sellier, J, Dellaportas, P

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Full Bayesian Inference for GARCH and EGARCH Models von Vrontos, I. D., Dellaportas, P., Politis, D. N.

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Bayesian inference for non-Gaussian Ornstein-Uhlenbeck stochastic volatility processes von Roberts, Gareth O., Papaspiliopoulos, Omiros, Dellaportas, Petros

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Model determination for categorical data with factor level merging von Dellaportas, Petros, Tarantola, Claudia

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Doubly-online changepoint detection for monitoring health status during sports activities von Stival, M, Bernardi, M, Dellaportas, P

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Scalable Marked Point Processes for Exchangeable and Non-Exchangeable Event Sequences von Panos, A, Kosmidis, I, Dellaportas, P

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Markov chain Monte Carlo model determination for hierarchical and graphical log-linear models von Dellaportas, P, Forster, JJ

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How Good are Low-Rank Approximations in Gaussian Process Regression? von Daskalakis, C, Dellaportas, P, Panos, A

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Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers von Hirt, M, Dellaportas, P

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