Briers, Mark
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2

Bayesian Imputation of COVID-19 Positive Test Counts for No..:

Jersakova, Radka ; Lomax, James ; Hetherington, James...
Journal of the Royal Statistical Society Series C: Applied Statistics.  71 (2022)  4 - p. 834-860 , 2022
 
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Calibration and Filtering for Multi Factor Commodity Models..:

Peters, Gareth William ; Briers, Mark ; Shevchenko, Pavel.
Methodology and Computing in Applied Probability.  15 (2012)  4 - p. 841-874 , 2012
 
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8

Smoothing algorithms for state–space models:

Briers, Mark ; Doucet, Arnaud ; Maskell, Simon
Annals of the Institute of Statistical Mathematics.  62 (2009)  1 - p. 61-89 , 2009
 
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9

Efficient Block Sampling Strategies for Sequential Monte Ca..:

Doucet, Arnaud ; Briers, Mark ; Sénécal, Stéphane
Journal of Computational and Graphical Statistics.  15 (2006)  3 - p. 693-711 , 2006
 
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11

Fast particle smoothing : if I had a million particles:

, In: Proceedings of the 23rd international conference on Machine learning,
Klaas, Mike ; Briers, Mark ; de Freitas, Nando... - p. 481-488 , 2006
 
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12

Efficient Block Sampling Strategies for Sequential Monte Ca..:

Doucet, Arnaud ; Briers, Mark ; Sénécal, Stéphane
Journal of Computational and Graphical Statistics.  15 (2006)  3 - p. 693-711 , 2006
 
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14

Bayesian imputation of COVID-19 positive test counts for no..:

Jersakova, Radka ; Lomax, James ; Hetherington, James...
https://discovery.ucl.ac.uk/id/eprint/10148354/1/Royal%20Stata%20Society%20Series%20C%20-%202022.pdf.  , 2022
 
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15

Interoperability of Statistical Models in Pandemic Prepared..:

Nicholson, George ; Blangiardo, Marta ; Briers, Mark...
https://discovery.ucl.ac.uk/id/eprint/10149944/1/22-STS854.pdf.  , 2022
 
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