Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Matthew A. Tibbits"'
Autor:
Tawny L. B. Tibbits, Meaghan M. Peuramaki‐Brown, Marieka Brouwer Burg, Matthew A. Tibbits, Eleanor Harrison‐Buck
Publikováno v:
Geoarchaeology. 38:156-173
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d0d57bf687cb1697537af32aa53372b
https://doi.org/10.1002/gea.21944
https://doi.org/10.1002/gea.21944
Autor:
Matthew A. Tibbits
Publikováno v:
Geological Society of America Abstracts with Programs.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::114d858a0ecefc2ccfd439cfe327504e
https://doi.org/10.1130/abs/2018se-312174
https://doi.org/10.1130/abs/2018se-312174
Publikováno v:
Journal of Computational and Graphical Statistics. 23:543-563
Markov chain Monte Carlo (MCMC) algorithms offer a very general approach for sampling from arbitrary distributions. However, designing and tuning MCMC algorithms for each new distribution, can be challenging and time consuming. It is particularly dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f41d8ef1b1e29e5bfec9149ecf45e3f
https://doi.org/10.1080/10618600.2013.791193
https://doi.org/10.1080/10618600.2013.791193
Publikováno v:
Statistics and Computing. 21:415-430
Slice sampling provides an easily implemented method for constructing a Markov chain Monte Carlo (MCMC) algorithm. However, slice sampling has two major drawbacks: (i) it requires repeated evaluation of likelihoods for each update, which can make it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bf4c718edff998efe554ccfb8b7e25e
https://doi.org/10.1007/s11222-010-9178-z
https://doi.org/10.1007/s11222-010-9178-z
Autor:
Merrill W. Liechty, Matthew M. Tibbits
Publikováno v:
Statistics and Computing. 20:335-341
We present a multivariate sufficient statistic using Kronecker products that dramatically increases computational efficiency in evaluating likelihood functions and/or posterior distributions. In particular, we examine the example of multivariate regr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85a7840e185106e845f95301a9ec2c70
https://doi.org/10.1007/s11222-009-9127-x
https://doi.org/10.1007/s11222-009-9127-x
Publikováno v:
ICDM Workshops
Privacy-preserving data mining (PPDM) techniques aim to construct efficient data mining algorithms while main- taining privacy. Statistical disclosure limitation (SDL) tech- niques aim to preserve confidentiality but in contrast to PPDM techniques al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e890a35d110812774d6532900fc1a361
https://doi.org/10.1109/icdmw.2007.84
https://doi.org/10.1109/icdmw.2007.84
Publikováno v:
ICDM Workshops
Factor analysis, classification and regression tree analysis (CART), discriminant analysis and classification analysis were applied to study land cover in Wyoming, to explore: 1) how environmental variables are related to one another; 2) whether land
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6109f644f1e92c52892a9a368dfa4ac7
https://doi.org/10.1109/icdmw.2007.114
https://doi.org/10.1109/icdmw.2007.114
Publikováno v:
SPIE Proceedings.
A full Monte Carlo simulation of sample scattering and the final flight path for direct geometry time-of-flight spectrometers has been developed. This allows the scattering from systems with both realistic and complex scattering geometries as well as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9097f6179bf4132dc9cf1478f142b51a
https://doi.org/10.1117/12.578805
https://doi.org/10.1117/12.578805