Literature DB >> 23277613

Inference for the physical sciences.

Nick S Jones1, Thomas J Maccarone.   

Abstract

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 introduction, and this issue, provides resources to help experimental researchers access modern data analysis tools and exposure for analysts to extant challenges in physical science. We include a table of resources connecting statistical and physical disciplines and point to appropriate books, journals, videos and articles. We conclude by highlighting the relevance of each of the articles in the associated issue.

Year:  2012        PMID: 23277613      PMCID: PMC3538443          DOI: 10.1098/rsta.2012.0493

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  17 in total

Review 1.  Approximate Bayesian Computation (ABC) in practice.

Authors:  Katalin Csilléry; Michael G B Blum; Oscar E Gaggiotti; Olivier François
Journal:  Trends Ecol Evol       Date:  2010-05-18       Impact factor: 17.712

2.  Gaussian processes for time-series modelling.

Authors:  S Roberts; M Osborne; M Ebden; S Reece; N Gibson; S Aigrain
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2012-12-31       Impact factor: 4.226

3.  Similarity and denoising.

Authors:  Paul M B Vitányi
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2012-12-31       Impact factor: 4.226

4.  Modulated oscillations in many dimensions.

Authors:  S C Olhede
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2012-12-31       Impact factor: 4.226

5.  Transdimensional inference in the geosciences.

Authors:  M Sambridge; T Bodin; K Gallagher; H Tkalcic
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2012-12-31       Impact factor: 4.226

6.  Gravitational wave astronomy: needle in a haystack.

Authors:  Neil J Cornish
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2012-12-31       Impact factor: 4.226

7.  Rotary components, random ellipses and polarization: a statistical perspective.

Authors:  A T Walden
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2012-12-31       Impact factor: 4.226

8.  Bayesian non-parametrics and the probabilistic approach to modelling.

Authors:  Zoubin Ghahramani
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2012-12-31       Impact factor: 4.226

9.  Model-based machine learning.

Authors:  Christopher M Bishop
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2012-12-31       Impact factor: 4.226

10.  Independent component analysis: recent advances.

Authors:  Aapo Hyvärinen
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2012-12-31       Impact factor: 4.226

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