Signal Processing and Inference for the Physical Sciences

 

 

 

Papers, Talks and Slides from Royal Society Discussion Meeting

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On this page we provide extra resources for the Royal Society Discussion Meeting “Signal Processing and Inference for the Physical Sciences”.

 

There is a disconnect between developments in modern data analysis and some parts of the physical sciences in which they could find ready use. This meeting, and this volume, provides resources to help experimental researchers access modern data analysis tools and exposure for analysts to extant challenges in physical science. A partial key to the meeting can be found in our introduction which is free.

 

The meeting was published as this volume: http://rsta.royalsocietypublishing.org/content/371/1984

 

Nick S. Jones and Thomas J. Maccarone

Inference for the physical sciences

Phil. Trans. R. Soc. A. 2013 371 20120493; doi:10.1098/rsta.2012.0493

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Christopher M. Bishop

Model-based machine learning

Phil. Trans. R. Soc. A. 2013 371 20120222; doi:10.1098/rsta.2012.0222

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Zoubin Ghahramani

Bayesian non-parametrics and the probabilistic approach to modelling

Phil. Trans. R. Soc. A. 2013 371 20110553; doi:10.1098/rsta.2011.0553

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Stephen Roberts, M. Osborne, M. Ebden, S. Reece, N. Gibson, and S. Aigrain

Gaussian processes for time-series modelling

Phil. Trans. R. Soc. A. 2013 371 20110550; doi:10.1098/rsta.2011.0550

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Andreas Raue, Clemens Kreutz, Fabian Joachim Theis, and Jens Timmer

Joining forces of Bayesian and frequentist methodology: a study for inference in the presence of non-identifiability

Phil. Trans. R. Soc. A. 2013 371 20110544; doi:10.1098/rsta.2011.0544

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Aapo Hyvärinen

Independent component analysis: recent advances

Phil. Trans. R. Soc. A. 2013 371 20110534; doi:10.1098/rsta.2011.0534

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Paul M. B. Vitányi

Similarity and denoising

Phil. Trans. R. Soc. A. 2013 371 20120091; doi:10.1098/rsta.2012.0091 

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Andrew T. Walden

Rotary components, random ellipses and polarization: a statistical perspective

Phil. Trans. R. Soc. A. 2013 371 20110554; doi:10.1098/rsta.2011.0554 

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Sofia C. Olhede

Modulated oscillations in many dimensions

Phil. Trans. R. Soc. A. 2013 371 20110551; doi:10.1098/rsta.2011.0551

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Vassilios Stathopoulos and Mark A. Girolami

Markov chain Monte Carlo inference for Markov jump processes via the linear noise approximation

Phil. Trans. R. Soc. A. 2013 371 20110541; doi:10.1098/rsta.2011.0541 

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Simon Vaughan

Random time series in astronomy

Phil. Trans. R. Soc. A. 2013 371 20110549; doi:10.1098/rsta.2011.0549 

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Malcolm. Sambridge, T. Bodin, K. Gallagher, and H. Tkalčić

Transdimensional inference in the geosciences

Phil. Trans. R. Soc. A. 2013 371 20110547; doi:10.1098/rsta.2011.0547 

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Neil J Cornish

Gravitational wave astronomy: needle in a haystack

Phil. Trans. R. Soc. A. 2013 371 20110540; doi:10.1098/rsta.2011.0540 

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Mukund Thattai

Using topology to tame the complex biochemistry of genetic networks

Phil. Trans. R. Soc. A. 2013 371 20110548; doi:10.1098/rsta.2011.0548 

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Max A. Little and Nick S. Jones

Signal processing for molecular and cellular biological physics: an emerging field

Phil. Trans. R. Soc. A. 2013 371 20110546; doi:10.1098/rsta.2011.0546 

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Michael A. H. Hedlin and Kristoffer T. Walker

A study of infrasonic anisotropy and multipathing in the atmosphere using seismic networks

Phil. Trans. R. Soc. A. 2013 371 20110542; doi:10.1098/rsta.2011.0542 

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Ishanu Chattopadhyay and Hod Lipson

Abductive learning of quantized stochastic processes with probabilistic finite automata

Phil. Trans. R. Soc. A. 2013 371 20110543; doi:10.1098/rsta.2011.0543 

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