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1.
Some Notes on the Past and Future of LispStat
Open Access
Title:
Some Notes on the Past and Future of LispStat
Author:
Luke Tierney
Luke Tierney
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Publisher:
University of California at Los Angeles, Department of Statistics
Year of Publication:
20050101T00:00:00Z
Document Type:
article
Language:
English
Subjects:
LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H ; DOAJ:Statistics ; DOAJ:Mathematics and Statistics ; LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H ; DOAJ:Statistics ; DOAJ:Mathematics and Statistics ; LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H ; DOAJ:Statistics ; DOAJ:Mathematics and Statistics ; LCC:S...
LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H ; DOAJ:Statistics ; DOAJ:Mathematics and Statistics ; LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H ; DOAJ:Statistics ; DOAJ:Mathematics and Statistics ; LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H ; DOAJ:Statistics ; DOAJ:Mathematics and Statistics ; LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H ; LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H
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http://www.jstatsoft.org/v13/i09/paper
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http://doaj.org/search?source=%7B%22query%22%3A%7B%22bool%22%3A%7B%22must%22%3A%5B%7B%22term%22%3...
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2.
Some Notes on the Past and Future of LispStat
Title:
Some Notes on the Past and Future of LispStat
Author:
Luke Tierney
Luke Tierney
Minimize authors
Description:
LispStat 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 system was in part coincidence and in part a very deliberate decision. This paper describes the backgr...
LispStat 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 system was in part coincidence and in part a very deliberate decision. This paper describes the background behind the choice of Lisp, as well as the advantages and disadvantages of this choice. The paper then discusses some lessons that can be drawn from experience with LispStat and with the R language to guide future development of LispStat, R, and similar systems.
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Document Type:
article
URL:
http://www.jstatsoft.org/v13/i09/paper
http://www.jstatsoft.org/v13/i09/paper
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RePEc: Research Papers in Economics
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3.
Code analysis and parallelizing vector operations in R
Title:
Code analysis and parallelizing vector operations in R
Author:
Luke Tierney
Luke Tierney
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Description:
Static analysis, Compilation, Software testing, Parallel computation
Static analysis, Compilation, Software testing, Parallel computation
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Document Type:
article
URL:
http://hdl.handle.net/10.1007/s0018000801179
http://hdl.handle.net/10.1007/s0018000801179
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RePEc: Research Papers in Economics
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4.
Computing and Displaying Isosurfaces in R
Open Access
Title:
Computing and Displaying Isosurfaces in R
Author:
Dai Feng
;
Luke Tierney
Dai Feng
;
Luke Tierney
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Description:
This paper presents R utilities for computing and displaying isosurfaces, or threedimensional contour surfaces, from a threedimensional array of function values. A version of the marching cubes algorithm that takes into account face and internal ambiguities is used to compute the isosurfaces. Vectorization is used to ensure adequate performanc...
This paper presents R utilities for computing and displaying isosurfaces, or threedimensional contour surfaces, from a threedimensional array of function values. A version of the marching cubes algorithm that takes into account face and internal ambiguities is used to compute the isosurfaces. Vectorization is used to ensure adequate performance using only R code. Examples are presented showing contours of theoretical densities, density estimates, and medical imaging data. Rendering can use the rgl package or standard or grid graphics, and a set of tools for representing and rendering surfaces using standard or grid graphics is presented.
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Publisher:
University of California at Los Angeles, Department of Statistics
Year of Publication:
20080901T00:00:00Z
Document Type:
article
Language:
English
Subjects:
marching cubes algorithm ; density estimation ; medical imaging ; surface illumination ; shading ; LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H ; DOAJ:Statistics ; DOAJ:Mathematics and Statistics ; LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H ; DOAJ:Statistics ; DOAJ:Mathematics and Statistics ; LCC:Statistics ; LCC...
marching cubes algorithm ; density estimation ; medical imaging ; surface illumination ; shading ; LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H ; DOAJ:Statistics ; DOAJ:Mathematics and Statistics ; LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H ; DOAJ:Statistics ; DOAJ:Mathematics and Statistics ; LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H ; LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H
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DDC:
050 General serial publications
(computed)
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http://www.jstatsoft.org/v28/i01/paper
URL:
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5.
mritc: A Package for MRI Tissue Classification
Open Access
Title:
mritc: A Package for MRI Tissue Classification
Author:
Luke Tierney
;
Dai Feng
Luke Tierney
;
Dai Feng
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Description:
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 various optimization algorithms and by a Bayesian Markov chain Monte Carlo (MCMC) method. Functions...
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 various optimization algorithms and by a Bayesian Markov chain Monte Carlo (MCMC) method. Functions to obtain initial values of parameters of normal mixture models and spatial parameters are provided. Supported input formats are ANALYZE, NIfTI, and a raw byte format. The function slices3d in misc3d is used for visualizing data and results. Various performance evaluation indices are provided to evaluate classification results. To improve performance, table lookup methods are used in several places, and vectorized computation taking advantage of conditional independence properties are used. Some computations are performed by C code, and OpenMP is used to parallelize key loops in the C code.
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Publisher:
University of California, Los Angeles
Year of Publication:
20111001T00:00:00Z
Document Type:
article
Language:
English
Subjects:
higher resolution hidden Markov normal mixture model ; Bayesian Markov chain Monte Carlo ; table lookup ; conditional independence ; OpenMP ; LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H ; DOAJ:Statistics ; DOAJ:Mathematics and Statistics ; LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H ; DOAJ:Statistics ; DOAJ:Mathem...
higher resolution hidden Markov normal mixture model ; Bayesian Markov chain Monte Carlo ; table lookup ; conditional independence ; OpenMP ; LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H ; DOAJ:Statistics ; DOAJ:Mathematics and Statistics ; LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H ; DOAJ:Statistics ; DOAJ:Mathematics and Statistics ; LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H ; LCC:Statistics ; LCC:HA14737 ; LCC:Social Sciences ; LCC:H
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DDC:
310 Collections of general statistics
(computed)
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Relations:
http://www.jstatsoft.org/v44/i07/paper
URL:
http://doaj.org/search?source=%7B%22query%22%3A%7B%22bool%22%3A%7B%22must%22%3A%5B%7B%22term%22%3...
http://doaj.org/search?source=%7B%22query%22%3A%7B%22bool%22%3A%7B%22must%22%3A%5B%7B%22term%22%3...
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6.
Computing and Displaying Isosurfaces in R
Title:
Computing and Displaying Isosurfaces in R
Author:
Luke Tierney
;
Dai Feng
Luke Tierney
;
Dai Feng
Minimize authors
Description:
This paper presents R utilities for computing and displaying isosurfaces, or threedimensional contour surfaces, from a threedimensional array of function values. A version of the marching cubes algorithm that takes into account face and internal ambiguities is used to compute the isosurfaces. Vectorization is used to ensure adequate performanc...
This paper presents R utilities for computing and displaying isosurfaces, or threedimensional contour surfaces, from a threedimensional array of function values. A version of the marching cubes algorithm that takes into account face and internal ambiguities is used to compute the isosurfaces. Vectorization is used to ensure adequate performance using only R code. Examples are presented showing contours of theoretical densities, density estimates, and medical imaging data. Rendering can use the rgl package or standard or grid graphics, and a set of tools for representing and rendering surfaces using standard or grid graphics is presented.
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Document Type:
article
URL:
http://www.jstatsoft.org/v28/i01/paper
http://www.jstatsoft.org/v28/i01/paper
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RePEc: Research Papers in Economics
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7.
Value
Open Access
Title:
Value
Author:
Luke Tierney
;
Luke Tierney
Luke Tierney
;
Luke Tierney
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Description:
R topics documented: flatProfile. 1 plotProfileCallGraph. 3 printProfileCallGraph. 4 profileCallGraph2Dot. 6 readProfileData. 8
R topics documented: flatProfile. 1 plotProfileCallGraph. 3 printProfileCallGraph. 4 profileCallGraph2Dot. 6 readProfileData. 8
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Contributors:
The Pennsylvania State University CiteSeerX Archives
Year of Publication:
20110617
Source:
http://cran.at.rproject.org/web/packages/proftools/proftools.pdf
http://cran.at.rproject.org/web/packages/proftools/proftools.pdf
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Document Type:
text
Language:
en
Subjects:
Rprof ; summaryRprof ; readProfileData ; plotProfileCallGraph ; printProfileCallGraph ; profileCallGraph2Dot Examples
Rprof ; summaryRprof ; readProfileData ; plotProfileCallGraph ; printProfileCallGraph ; profileCallGraph2Dot Examples
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Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.192.1167
http://cran.at.rproject.org/web/packages/proftools/proftools.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.192.1167
http://cran.at.rproject.org/web/packages/proftools/proftools.pdf
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8.
Suggests rgl, tkrplot, MASS Description A collection of miscellaneous 3d plots, including isosurfaces. License GPL Repository CRAN Date/Publication 20130125 15:57:56
Open Access
Title:
Suggests rgl, tkrplot, MASS Description A collection of miscellaneous 3d plots, including isosurfaces. License GPL Repository CRAN Date/Publication 20130125 15:57:56
Author:
Dai Feng
;
Luke Tierney
;
Maintainer Luke Tierney
;
Needscompilation No
Dai Feng
;
Luke Tierney
;
Maintainer Luke Tierney
;
Needscompilation No
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Description:
R topics documented: computeContour3d. 2 contour3d. 3 drawScene. 6 exportScene. 9 image3d. 10 kde3d. 11 lighting. 12 linesTetrahedra. 13
R topics documented: computeContour3d. 2 contour3d. 3 drawScene. 6 exportScene. 9 image3d. 10 kde3d. 11 lighting. 12 linesTetrahedra. 13
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Contributors:
The Pennsylvania State University CiteSeerX Archives
Year of Publication:
20130724
Source:
http://cran.at.rproject.org/web/packages/misc3d/misc3d.pdf
http://cran.at.rproject.org/web/packages/misc3d/misc3d.pdf
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Document Type:
text
Language:
en
Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.304.671
http://cran.at.rproject.org/web/packages/misc3d/misc3d.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.304.671
http://cran.at.rproject.org/web/packages/misc3d/misc3d.pdf
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9.
Draw an Isosurface, a Three Dimension Contour Plot Description Usage
Open Access
Title:
Draw an Isosurface, a Three Dimension Contour Plot Description Usage
Author:
Dai Feng
;
Luke Tierney
;
Maintainer Luke Tierney
Dai Feng
;
Luke Tierney
;
Maintainer Luke Tierney
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Description:
R topics documented: contour3d. 2 drawScene. 5 image3d. 8 kde3d. 9 lighting. 10 parametric3d. 11 pointsTetrahedra. 13 slices3d. 14 surfaceTriangles. 16 teapot. 17 triangles. 17
R topics documented: contour3d. 2 drawScene. 5 image3d. 8 kde3d. 9 lighting. 10 parametric3d. 11 pointsTetrahedra. 13 slices3d. 14 surfaceTriangles. 16 teapot. 17 triangles. 17
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Contributors:
The Pennsylvania State University CiteSeerX Archives
Year of Publication:
20110621
Source:
http://cran.at.rproject.org/web/packages/misc3d/misc3d.pdf
http://cran.at.rproject.org/web/packages/misc3d/misc3d.pdf
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Document Type:
text
Language:
en
Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Minimize
URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.192.6841
http://cran.at.rproject.org/web/packages/misc3d/misc3d.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.192.6841
http://cran.at.rproject.org/web/packages/misc3d/misc3d.pdf
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10.
EXACT TRANSITION PROBABILITIES FOR THE INDEPENDENCE METROPOLIS SAMPLER Richard L. Smith
Open Access
Title:
EXACT TRANSITION PROBABILITIES FOR THE INDEPENDENCE METROPOLIS SAMPLER Richard L. Smith
Author:
And Luke Tierney
;
Richard L. Smith
;
Luke Tierney
And Luke Tierney
;
Richard L. Smith
;
Luke Tierney
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Description:
. A recent result of Jun Liu's has shown how to compute explicitly the eigenvalues and eigenvectors for the Markov chain derived from a special case of the Hastings sampling algorithm, known as the indepdendence Metropolis sampler. In this note, we show how to extend the result to obtain exact nstep transition probabilities for any n. This is d...
. A recent result of Jun Liu's has shown how to compute explicitly the eigenvalues and eigenvectors for the Markov chain derived from a special case of the Hastings sampling algorithm, known as the indepdendence Metropolis sampler. In this note, we show how to extend the result to obtain exact nstep transition probabilities for any n. This is done first for a chain on a finite state space, and then extended to a general (discrete or continuous) state space. The paper concludes with some implications for diagnostic tests of convergence of Markov chain samplers. 1. Introduction Suppose we want to generate a Monte Carlo sample from a discrete distribution j ; j = 1; :::; m. The distribution is not easy to sample from directly, and it is possible that the functional form of j may be known only up to some unspecified normalizing constant, which will be inconvenient to compute directly if m is very large. One strategy is as follows: pick some other distribution fp j ; j = 1; :::; mg whi.
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Contributors:
The Pennsylvania State University CiteSeerX Archives
Year of Publication:
20090413
Source:
http://www.unc.edu/depts/statistics/postscript/rs/exact.ps
http://www.unc.edu/depts/statistics/postscript/rs/exact.ps
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Document Type:
text
Language:
en
DDC:
519 Probabilities & applied mathematics
(computed)
Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.41.754
http://www.unc.edu/depts/statistics/postscript/rs/exact.ps
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.41.754
http://www.unc.edu/depts/statistics/postscript/rs/exact.ps
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(45) Luke Tierney
(38) The Pennsylvania State University CiteSeerX...
(18) Tierney, Luke
(8) Dai Feng
(6) Tierney, Simon M
(5) Chenoweth, Luke
(5) Dettling, Marcel
(5) Dirk Eddelbuettel
(5) Dudoit, Sandrine
(5) Ellis, Byron
(5) Gautier, Laurent
(5) Ge, Yongchao
(5) Gentry, Jeff
(5) Hao Yu
(5) Hornik, Kurt
(5) Hothorn, Torsten
(5) Huber, Wolfgang
(5) Iacus, Stefano
(5) Irizarry, Rafael
(5) Leisch, Friedrich
(5) Li, Cheng
(5) Maechler, Martin
(5) Markus Schmidberger
(5) Martin Morgan
(5) Smith, Colin
(5) Ulrich Mansmann
(5) Zhang, Jianhua
(4) Schwarz, Michael Philip
(3) Antonietta Mira
(3) Bolstad, Ben
(3) Carey, Vincent J.
(3) Gentleman, Robert C.
(3) Joseph B. Kadane
(3) Robert C Gentleman; Vincent J Carey; Douglas M...
(3) Rossini, Anthony J.
(3) Sawitzki, Gunther
(3) Smith, Jaclyn Amanda
(3) Smyth, Gordon
(2) Bates, Douglas J.
(2) Bates, Douglas M
(2) Bin Yu
(2) Bolstad, Benjamin M.
(2) Carey, Vincent J
(2) Chenoweth, Luke B
(2) Chenoweth, Luke B.
(2) Cooper, Steven J B
(2) Cooper, Steven JB
(2) Gentleman, Robert C
(2) KADANE, JOSEPH B.
(2) Lambert, Diane
(2) Maintainer Luke Tierney
(2) Park, Yung Chul
(2) Per Mykland
(2) Richard L. Smith
(2) Rossini, Anthony J
(2) Sawitzki, Guenther
(2) Schwarz, Michael P
(2) Schwarz, Michael P.
(2) Smith, Jaclyn A
(2) Smyth, Gordon K.
(2) TIERNEY, LUKE
(2) Tierney, Simon M.
(2) Yang, Jean YH
(2) Yang, Yee Hwa
(1) AlcalaDiaz, Juan F.
(1) And Luke Tierney
(1) Anthony Rossini
(1) Author(s) Luke Tierney
(1) Bates, Douglas M.
(1) Bill Venables
(1) Brian Ripley
(1) Chair David James
(1) Chair Wolfgang Huber
(1) Chenoweth Luke B
(1) Coll, Rebecca C.
(1) Cooke, Aoife A.
(1) Cooper Steven JB
(1) Cooper, Steven J. B.
(1) Depends R
(1) Eddelbuettel, Dirk
(1) Finucane, Orla M.
(1) Frank Diebold
(1) Fri Jan
(1) Fuller, Susan
(1) Fuller, Susan J
(1) G. Maier
(1) George Ostrouchov
(1) Gianni Amisano Y
(1) Haran, Murali
(1) Healy, Niamh P.
(1) Jaclyn A Smith
(1) James Mitchell
(1) Jennifer Bryan
(1) Joel Horowitz
(1) John Geweke
(1) K. Hornik
(1) KASS, ROBBERT E.
(1) KASS, ROBERT E.
(1) Klinger, Rut.
(1) La Trobe University.
Author:
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(4) doaj mathematics and statistics
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(4) high performance computing
(4) lcc h
(4) lcc ha1 4737
(4) lcc social sciences
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(4) parallel computing
(3) 62 04
(3) 62g05
(3) 65c05
(3) bioinformatics
(3) computational biology
(3) computer cluster
(3) lisp stat
(3) markov chain monte carlo
(3) metropolis hastings algorithm
(3) multi core systems
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(2) 60j05
(2) 62g20
(2) articles
(2) auxiliary variables
(2) conditional independence
(2) key words
(2) numerical analysis and computation
(2) peskun ordering
(2) peskun s theorem
(2) reproducible research
(2) scientific computation
(2) slice sampler
(2) statistical computing
(2) uniform ergodicity
(1) 060300 evolutionary biology
(1) 060800 zoology
(1) 62e20
(1) asymptotic efficiency
(1) asymptotic normality
(1) asymptotic variance bound
(1) bayesian markov chain monte carlo
(1) bees physiology
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(1) bootstrap
(1) brain imaging
(1) computing
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(1) ddc 510
(1) density estimation
(1) description
(1) doaj biology
(1) doaj biology and life sciences
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(1) forecasting
(1) garch
(1) gibbs sampler
(1) gibbs sampling
(1) grid
(1) grid computing
(1) have become
(1) higher resolution hidden markov normal mixture...
(1) hybrid sampler
(1) in particular markov chain monte carlo methods
(1) kriging
(1) lam mpi
(1) lcc biology general
(1) lcc q
(1) lcc qh301 705 5
(1) lcc science
(1) log scoring
(1) marching cubes algorithm
(1) markov mixture
(1) markov random field
(1) medical biomathematics and biometrics
(1) medical imaging
(1) message passing
(1) method
(1) metropolis algorithm
(1) mixture kernels
(1) mixture kernels ams classifications 60j05
(1) model combination
(1) monte carlo
(1) mpi
(1) multicore architecture
(1) multithreading
(1) nonparametric maximum likelihood estimation
(1) openmp
(1) orterun n 1 hostfile hostfile r no save
(1) partial volume effect
(1) plotprofilecallgraph
(1) printprofilecallgraph
(1) profile likelihood
(1) profilecallgraph2dot examples
(1) pvm
(1) readprofiledata
(1) regular estimator
(1) regular estimators
(1) representation theorem
(1) research article
Subject:
Dewey Decimal Classification (DDC)
(9) Mathematics [51*]
(6) Statistics [31*]
(5) Social sciences, sociology & anthropology...
(2) Computer science, knowledge & systems [00*]
(2) Library & information sciences [02*]
(1) Magazines, journals & serials [05*]
(1) Science [50*]
(1) Animals (Zoology) [59*]
Dewey Decimal Classification (DDC):
Year of Publication
(17) 2009
(11) 2011
(9) 2013
(7) 2008
(5) 2004
(5) 2007
(4) 2012
(3) 2015
(2) 1984
(2) 1988
(2) 1989
(2) 1994
(1) 1987
(1) 1992
(1) 1998
(1) 2003
(1) 2005
(1) 2014
Year of Publication:
Content Provider
(38) CiteSeerX
(9) Project Euclid
(5) DOAJ Articles
(5) RePEc.org
(4) Collection of Biostatistics Research Archiv
(4) Flinders Univ.: Academic Commons
(3) DataCite Metadata Store
(3) PubMed Central
(2) BioMed Central
(2) HighWire Press
(1) ArXiv.org
(1) La Trobe Univ., Australia: Research Online
(1) Munich LMU: Open Access
(1) Queensland Univ. Tech.: QUT ePrints
(1) Smithsonian Institution
Content Provider:
Language
(62) English
(18) Unknown
Language:
Document Type
(57) Text
(18) Article, Journals
(4) Unknown
(1) Reports, Papers, Lectures
Document Type:
Access
(51) Open Access
(29) Unknown
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