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Moores, Matthew T.
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1

Log-Gaussian gamma processes for training Bayesian neural n..:

Härkönen, Teemu ; Vartiainen, Erik M. ; Lensu, Lasse..
Physical Chemistry Chemical Physics.  26 (2024)  4 - p. 3389-3399 , 2024
Link: https://doi.org/10.1039/..
 
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2

Fine‐scale interplay between decline and growth determines ..:

Vercelloni, Julie ; Roelfsema, Chris ; Kovacs, Eva M....
Ecography.  2024 (2023)  1 - p. , 2023
Link: https://doi.org/10.1111/..
 
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3

Bayesian Computation with Intractable Likelihoods:

, In: Case Studies in Applied Bayesian Data Science; Lecture Notes in Mathematics,
Moores, Matthew T. ; Pettitt, Anthony N. ; Mengersen, Kerrie L. - p. 137-151 , 2020
Link: https://doi.org/10.1007/..
 
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4

Bayesian Quantification for Coherent Anti-Stokes Raman Scat..:

Härkönen, Teemu ; Roininen, Lassi ; Moores, Matthew T..
The Journal of Physical Chemistry B.  124 (2020)  32 - p. 7005-7012 , 2020
Link: https://doi.org/10.1021/..
 
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5

Accelerating pseudo-marginal MCMC using Gaussian processes:

Drovandi, Christopher C. ; Moores, Matthew T. ; Boys, Richard J.
Computational Statistics & Data Analysis.  118 (2018)  - p. 1-17 , 2018
Link: https://doi.org/10.1016/..
 
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6

BAYESIAN COMPUTATIONAL METHODS FOR SPATIAL ANALYSIS OF IMAG..:

MOORES, MATTHEW T.
Bulletin of the Australian Mathematical Society.  93 (2016)  2 - p. 345-346 , 2016
Link: https://doi.org/10.1017/..
 
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7

An external field prior for the hidden Potts model with app..:

Moores, Matthew T. ; Hargrave, Catriona E. ; Deegan, Timothy...
Computational Statistics & Data Analysis.  86 (2015)  - p. 27-41 , 2015
Link: https://doi.org/10.1016/..
 
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8

Pre-processing for approximate Bayesian computation in imag..:

Moores, Matthew T. ; Drovandi, Christopher C. ; Mengersen, Kerrie.
Statistics and Computing.  25 (2014)  1 - p. 23-33 , 2014
Link: https://doi.org/10.1007/..
 
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9

The Recycling Endosome Protein Rab17 Regulates Melanocytic ..:

Beaumont, Kimberley A. ; Hamilton, Nicholas A. ; Moores, Matthew T....
Traffic.  12 (2011)  5 - p. 627-643 , 2011
Link: https://doi.org/10.1111/..
 
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10

Log-Gaussian Gamma Processes for Training Bayesian Neural N..:

Härkönen, Teemu ; Vartiainen, Erik M ; Lensu, Lasse..
http://arxiv.org/abs/2310.08055.  , 2023
Link: http://arxiv.org/abs/231..
 
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11

A Log-Gaussian Cox Process with Sequential Monte Carlo for ..:

Härkönen, Teemu ; Hannula, Emma ; Moores, Matthew T..
http://arxiv.org/abs/2202.13120.  , 2022
Link: http://arxiv.org/abs/220..
 
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12

Warped Gradient-Enhanced Gaussian Process Surrogate Models ..:

Vu, Quan ; Moores, Matthew T ; Zammit-Mangion, Andrew
http://arxiv.org/abs/2105.04374.  , 2021
Link: http://arxiv.org/abs/210..
 
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13

Spatial Statistics:

Cressie, Noel ; Moores, Matthew T
http://arxiv.org/abs/2105.07216.  , 2021
Link: http://arxiv.org/abs/210..
 
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14

Annealed Leap-Point Sampler for Multimodal Target Distribut..:

Tawn, Nicholas G ; Moores, Matthew T ; Roberts, Gareth O
http://arxiv.org/abs/2112.12908.  , 2021
Link: http://arxiv.org/abs/211..
 
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15

Bayesian quantification for coherent anti-Stokes Raman scat..:

Härkönen, Teemu ; Roininen, Lassi ; Moores, Matthew T.
http://arxiv.org/abs/2005.06830.  , 2020
Link: http://arxiv.org/abs/200..
 
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