Phil. Tran
s. R. Soc. A | vol. 371 n
o. 1984 | 13 February 2013
Sign
al pro
cessing
and
inferen
ce for th
e ph
ysical sciences
Founded in 1660, the Royal Society is the independent scientific academy of the UK, dedicated to promotingexcellence in science
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13 February 2013
volume 371 · number 1984
rsta.royalsocietypublishing.orgPublished in Great Britain by the Royal Society, 6–9 Carlton House Terrace, London SW1Y 5AG
IntroductionInference for the physical sciences 20120493N. S. Jones & T. J. Maccarone
ArticlesModel-based machine learning 20120222C. M. Bishop
Bayesian non-parametrics and the probabilistic approach to modelling 20110553Z. Ghahramani
Gaussian processes for time-series modelling 20110550S. Roberts, M. Osborne, M. Ebden, S. Reece, N. Gibson & S. Aigrain
Joining forces of Bayesian and frequentist methodology: a study for inference in the presence of non-identifiability 20110544A. Raue, C. Kreutz, F. J. Theis & J. Timmer
Independent component analysis: recent advances 20110534A. Hyvärinen
Similarity and denoising 20120091P. M. B. Vitányi
Rotary components, random ellipses and polarization: a statistical perspective 20110554A. T. Walden
Modulated oscillations in many dimensions 20110551S. C. Olhede
Markov chain Monte Carlo inference for Markov jump processes via the linear noise approximation 20110541V. Stathopoulos & M. A. Girolami
Random time series in astronomy 20110549S. Vaughan
Transdimensional inference in the geosciences 20110547M. Sambridge, T. Bodin, K. Gallagher & H. Tkalcic
Gravitational wave astronomy: needle in a haystack 20110540N. J. Cornish
Using topology to tame the complex biochemistry of genetic networks 20110548M. Thattai
Signal processing for molecular and cellular biological physics: an emerging field 20110546M. A. Little & N. S. Jones
A study of infrasonic anisotropy and multipathing in the atmosphere using seismic networks 20110542M. A. H. Hedlin & K. T. Walker
Abductive learning of quantized stochastic processes with probabilistic finite automata 20110543I. Chattopadhyay & H. Lipson
Signal processing and inference for the physical sciencesPapers of a Discussion Meeting Issue organized and edited by Nick S. Jones andThomas J. Maccarone
13 February 2013
ISSN 1364-503X
volume 371
number 1984
Signal processing and inference for the physical sciencesPapers of a Discussion Meeting Issue organized and edited by Nick S. Jones and Thomas J. Maccarone
The world’s first science journal
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