Zobrazeno 1 - 10
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pro vyhledávání: '"Chipman, Hugh"'
Autor:
Chipman, Hugh, Bingham, Derek
Statisticians recommend the Design and Analysis of Experiments (DAE) for evidence-based research but often use tables to present their own simulation studies. Could DAE do better? We outline how DAE methods can be used to plan and analyze simulation
Externí odkaz:
http://arxiv.org/abs/2111.13737
BART (Bayesian Additive Regression Trees) has become increasingly popular as a flexible and scalable nonparametric regression approach for modern applied statistics problems. For the practitioner dealing with large and complex nonlinear response surf
Externí odkaz:
http://arxiv.org/abs/1709.07542
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:
http://arxiv.org/abs/1612.01619
For professional basketball, finding valuable and suitable players is the key to building a winning team. To deal with such challenges, basketball managers, scouts and coaches are increasingly turning to analytics. Objective evaluation of players and
Externí odkaz:
http://arxiv.org/abs/1507.01816
Autor:
Chipman, Hugh1 (AUTHOR) hugh.chipman@acadiau.ca, Bingham, Derek2 (AUTHOR)
Publikováno v:
Canadian Journal of Statistics. Dec2022, Vol. 50 Issue 4, p1228-1249. 22p.
In statistical modeling of computer experiments sometimes prior information is 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. We
Externí odkaz:
http://arxiv.org/abs/1309.3802
Autor:
Pratola, Matthew T., Chipman, Hugh A., Gattiker, James R., Higdon, David M., McCulloch, Robert, Rust, William N.
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:
http://arxiv.org/abs/1309.1906
Publikováno v:
Journal of Statistical Software, 64 (12), 1-23, 2015
Gaussian process (GP) models are commonly used statistical metamodels for emulating expensive computer simulators. Fitting a GP model can be numerically unstable if any pair of design points in the input space are close together. Ranjan, Haynes, and
Externí odkaz:
http://arxiv.org/abs/1305.0759
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 classified map which labels the image pixels into meaningful classes. Though several paramet
Externí odkaz:
http://arxiv.org/abs/1304.4077
The graphics processing unit (GPU) has emerged as a powerful and cost effective processor for general performance computing. GPUs are capable of an order of magnitude more floating-point operations per second as compared to modern central processing
Externí odkaz:
http://arxiv.org/abs/1203.1269