Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Hugh A. Chipman"'
Autor:
Steven L. Scott, Alexander W. Blocker, Fernando V. Bonassi, Hugh A. Chipman, Edward I. George, Robert E. McCulloch
Publikováno v:
Big Data and Information Theory ISBN: 9781003289173
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84882646e78e5ee00c61d41af2ffe8b0
https://doi.org/10.4324/9781003289173-2
https://doi.org/10.4324/9781003289173-2
Publikováno v:
Journal of Computational and Graphical Statistics. 29:405-417
Bayesian additive regression trees (BART) has become increasingly popular as a flexible and scalable nonparametric regression approach for modern applied statistics problems. For the practitioner d...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c57b322dd131169803cd08c17c83a99
https://doi.org/10.1080/10618600.2019.1677243
https://doi.org/10.1080/10618600.2019.1677243
Publikováno v:
Ecology. 97:1735-1745
Stochastic versions of Gompertz, Ricker, and various other dynamics models play a fundamental role in quantifying strength of density dependence and studying long-term dynamics of wildlife populations. These models are frequently estimated using time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9e52d03c994fe9175883f134c975eb9
https://doi.org/10.1890/15-1406.1
https://doi.org/10.1890/15-1406.1
Autor:
Hugh A. Chipman, Michael S. Hamada
Publikováno v:
Quality and Reliability Engineering International. 33:493-502
Regular two-level fractional factorial designs have complete aliasing in which the associated columns of multiple effects are identical. In this article, we show how Bayesian variable selection can be used to analyze experiments that use such designs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1230710c44935afda2cabc80203c139
https://doi.org/10.1002/qre.2022
https://doi.org/10.1002/qre.2022
Autor:
Steven L. Scott, Alexander W. Blocker, Robert E. McCulloch, Edward I. George, Hugh A. Chipman, Fernando V. Bonassi
Publikováno v:
International Journal of Management Science and Engineering Management. 11:78-88
A useful definition of ‘big data’ is data that is too big to process comfortably on a single machine, either because of processor, memory, or disk bottlenecks. Graphics processing units can allevia...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::261584269aefc2f661755d423b2a0317
https://doi.org/10.1080/17509653.2016.1142191
https://doi.org/10.1080/17509653.2016.1142191
Publikováno v:
SIAM/ASA Journal on Uncertainty Quantification. 3:370-392
In statistical modeling of computer experiments, prior information is sometimes available about the underlying function. For example, the physical system simulated by the computer code may be known to be monotone with respect to some or all inputs. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1726924b5f232a83c81f69cf99d6c557
https://doi.org/10.1137/140976741
https://doi.org/10.1137/140976741
Autor:
James R. Gattiker, Robert E. McCulloch, David Higdon, William N. Rust, Hugh A. Chipman, Matthew T. Pratola
Publikováno v:
Journal of Computational and Graphical Statistics. 23:830-852
Bayesian Additive Regression Trees (BART) is a Bayesian approach to flexible non-linear regression which has been shown to be competitive with the best modern predictive methods such as those based on bagging and boosting. BART offers some advantages
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d0e773664eedf53bd3ca36bd31feff0
https://doi.org/10.1080/10618600.2013.841584
https://doi.org/10.1080/10618600.2013.841584
Publikováno v:
Canadian Journal of Remote Sensing. 39:507-520
Classification of satellite images is a key component of many remote sensing applications. One of the most important products of a raw satellite image is the classification that labels image pixels into meaningful classes. Though several parametric a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79333ce8ddc2150e7f9b567cd038d788
https://doi.org/10.5589/m14-003
https://doi.org/10.5589/m14-003
For the discovery of regression relationships between Y and a large set of p potential predictors x 1 , . . . , x p , the flexible nonparametric nature of BART (Bayesian Additive Regression Trees) allows for a much richer set of possibilities than re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::157c73d01cf9c037166b8d8816076106
http://arxiv.org/abs/1612.01619
http://arxiv.org/abs/1612.01619
Publikováno v:
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 3:298-305
Tree-based regression and classification, popularized in the 1980s with the advent of the classification and regression trees (CART) has seen a recent resurgence in popularity alongside a boom in modern computing power. The new methodologies take adv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::384c2f0037f4cebb83baf774f02586d5
https://doi.org/10.1002/widm.1094
https://doi.org/10.1002/widm.1094