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2020 – today
- 2023
[i4]Pablo C. López-Custodio, Karthik Bharath, A. Kucukyilmaz, S. P. Preston:
Non-parametric regression for robot learning on manifolds. CoRR abs/2310.19561 (2023)- 2020
- [j5]P. J. Paine, S. P. Preston
, Michail Tsagris, Andrew T. A. Wood:
Spherical regression models with general covariates and anisotropic errors. Stat. Comput. 30(1): 153-165 (2020)
2010 – 2019
- 2019
- [c2]Rachel Carrington, Karthik Bharath, Simon Preston:
Invariance and identifiability issues for word embeddings. NeurIPS 2019: 15114-15123 - [i3]Rachel Carrington, Karthik Bharath, Simon Preston:
Invariance and identifiability issues for word embeddings. CoRR abs/1911.02656 (2019) - 2018
- [j4]P. J. Paine, S. P. Preston, Michail Tsagris, Andrew T. A. Wood:
An elliptically symmetric angular Gaussian distribution. Stat. Comput. 28(3): 689-697 (2018) - 2017
- [i2]Duncan Barrack, James Goulding, Simon Preston:
Classification and clustering for samples of event time data using non-homogeneous Poisson process models. CoRR abs/1703.02111 (2017) - 2016
- [j3]Michail Tsagris, Simon Preston, Andrew T. A. Wood:
Improved Classification for Compositional Data Using the α-transformation. J. Classif. 33(2): 243-261 (2016) - [c1]James Goulding, Simon Preston, Gavin Smith:
Event Series Prediction via Non-Homogeneous Poisson Process Modelling. ICDM 2016: 161-170 - 2015
- [j2]Simon R. White, Theodore Kypraios, S. P. Preston:
Piecewise Approximate Bayesian Computation: fast inference for discretely observed Markov models using a factorised posterior distribution. Stat. Comput. 25(2): 289-301 (2015) - [i1]Duncan Barrack, James Goulding, Keith Hopcraft, Simon Preston, Gavin Smith:
AMP: a new time-frequency feature extraction method for intermittent time-series data. CoRR abs/1507.05455 (2015) - 2012
- [j1]S. P. Preston, Andrew T. A. Wood:
Approximation of transition densities of stochastic differential equations by saddlepoint methods applied to small-time Ito-Taylor sample-path expansions. Stat. Comput. 22(1): 205-217 (2012)
Coauthor Index
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