Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Luke Tierney"'
Autor:
Luke Tierney
Publikováno v:
Journal of Statistical Software, Vol 13, Iss 1, Pp 1-15 (2005)
Lisp-Stat was originally developed as a framework for experimenting with dynamic graphics in statistics. To support this use, it evolved into a platform for more general statistical computing. The choice of the Lisp language as the basis of the syste
Externí odkaz:
https://doaj.org/article/2f2bbdbb7ab64722bc5aeabab9f0efa7
Autor:
Luke Tierney, Dai Feng
Publikováno v:
Journal of Statistical Software, Vol 44, Iss 07 (2011)
This paper presents an R package for magnetic resonance imaging (MRI) tissue classification. The methods include using normal mixture models, hidden Markov normal mixture models, and a higher resolution hidden Markov normal mixture model fitted by va
Externí odkaz:
https://doaj.org/article/95309f2099bd43118739523b0f9bc38e
Publikováno v:
Journal of Statistical Software, Vol 31, Iss 01 (2009)
R is a mature open-source programming language for statistical computing and graphics. Many areas of statistical research are experiencing rapid growth in the size of data sets. Methodological advances drive increased use of simulations. A common app
Externí odkaz:
https://doaj.org/article/beb05f9c04264466a9df48d2c9e50ac3
Autor:
Dai Feng, Luke Tierney
Publikováno v:
Journal of Statistical Software, Vol 28, Iss 1 (2008)
This paper presents R utilities for computing and displaying isosurfaces, or three-dimensional contour surfaces, from a three-dimensional array of function values. A version of the marching cubes algorithm that takes into account face and internal am
Externí odkaz:
https://doaj.org/article/803223e5c3084a488196910c8daff9fa
Publikováno v:
Statistics in Medicine. 33:1349-1368
Various works have used magnetic resonance imaging (MRI) tissue classification extensively to study a number of neurological and psychiatric disorders. Various noise characteristics and other artifacts make this classification a challenging task. Ins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28fca383f02facc86e6d1bd8a9416f02
https://doi.org/10.1002/sim.6018
https://doi.org/10.1002/sim.6018
Publikováno v:
Journal of the American Statistical Association. 107:102-119
Magnetic resonance imaging (MRI) is used to identify the major tissues within a subject's brain. Classification is usually based on a single image providing one measurement for each volume element, or voxel, in a discretization of the brain. A simple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4055d79b684bba0e38b21582d07ae4fe
https://doi.org/10.1198/jasa.2011.ap09529
https://doi.org/10.1198/jasa.2011.ap09529
Autor:
Luke Tierney
Publikováno v:
Wiley Interdisciplinary Reviews: Computational Statistics. 2:626-630
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33ea978abfd14691f7770367a1ece0e5
https://doi.org/10.1002/wics.112
https://doi.org/10.1002/wics.112
Publikováno v:
International Journal of Parallel Programming. 37:78-90
This paper presents a simple parallel computing framework for the statistical programming language R. The system focuses on parallelization of familiar higher level mapping functions and emphasizes simplicity of use in order to encourage adoption by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0460854f93aabb4ed9f7b9087178bd1
https://doi.org/10.1007/s10766-008-0077-2
https://doi.org/10.1007/s10766-008-0077-2
Autor:
Luke Tierney
Publikováno v:
Computational Statistics. 24:217-223
This paper presents some current work and preliminary thoughts on two seemingly unrelated areas. The first is the development of code analysis tools to help identify possible errors in R code. Current versions of these tools have been useful in findi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b34af30ce5bb2302a3e010b164b851d
https://doi.org/10.1007/s00180-008-0117-9
https://doi.org/10.1007/s00180-008-0117-9
Publikováno v:
Journal of Computational and Graphical Statistics. 16:399-420
Theoretically, many modern statistical procedures are trivial to parallelize. However, practical deployment of a parallelized implementation which is robust and reliably runs on different computational cluster configurations and environments is far f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3db729cdbf4958035bc76391f631c35
https://doi.org/10.1198/106186007x178979
https://doi.org/10.1198/106186007x178979