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A series of single array 2 m factorial search designs for even m Early View

  • Journal: Australian & New Zealand Journal of Statistics
  • Authors: Hooshang Talebi, Elham Jalali
  • Published Date: Nov 26, 2014

Summary By means of a search design one is able to search for and estimate a small set of non‐zero elements from the set of higher order factorial interactions in addition...

Posterior sampling in two classes of multivariate fractionally integrated models: corrigendum to Ravishanker, N. and B. K. Ray (1997) Australian Journal of Statistics 39 (3), 295–311 Early View

  • Journal: Australian & New Zealand Journal of Statistics
  • Authors: Ross Doppelt, Keith O'Hara
  • Published Date: Feb 20, 2019

We show that existing tools for Bayesian estimation of FIVARs actually produce estimates of VARFIs, distinct models of independent interest.

Comparative study of clustering techniques for real‐time dynamic model reduction Early View

  • Journal: Statistical Analysis and Data Mining: The ASA Data Science Journal
  • Authors: Emilie Purvine, Eduardo Cotilla‐Sanchez, Mahantesh Halappanavar, Zhenyu Huang, Guang Lin, Shuai Lu, Shaobu Wang
  • Published Date: Aug 24, 2017

Dynamic model reduction in power systems is necessary for improving computational efficiency. Traditional model reduction using linearized models or offline analysis is not adequate to...

Joining statistics and geophysics for assessment and uncertainty quantification of three‐dimensional seismic Earth models Early View

  • Journal: Statistical Analysis and Data Mining: The ASA Data Science Journal
  • Authors: Carène Larmat, Monica Maceira, David M. Higdon, Dale N. Anderson
  • Published Date: Aug 29, 2017

Seismic inversions produce seismic models, which are 3‐dimensional (3D) images of wave velocity of the entire planet retrieved by fitting seismic measurements made on records of past...

Clustering over‐dispersed data with mixed feature types Early View

  • Journal: Statistical Analysis and Data Mining: The ASA Data Science Journal
  • Authors: Lu Wang, Dongxiao Zhu, Ming Dong
  • Published Date: Jan 10, 2018

Despite many data clustering methods are available, most of them uncover compactness or connectivity as the intrinsic structure of unlabeled data. Very few approaches explicitly consider...

Sparse estimation of multivariate Poisson log‐normal models from count data Early View

  • Journal: Statistical Analysis and Data Mining: The ASA Data Science Journal
  • Authors: Hao Wu, Xinwei Deng, Naren Ramakrishnan
  • Published Date: Jan 10, 2018

Modeling data with multivariate count responses is a challenging problem because of the discrete nature of the responses. Existing methods for univariate count response cannot be easily...

Informative priors in Bayesian inference and computation Early View

  • Journal: Statistical Analysis and Data Mining: The ASA Data Science Journal
  • Authors: Shirin Golchi
  • Published Date: Jan 19, 2018

The use of prior distributions is often a controversial topic in Bayesian inference. Informative priors are often avoided at all costs. However, when prior information is available,...

Predicting historical indoor temperatures from available local weather data Early View

  • Journal: Statistical Analysis and Data Mining: The ASA Data Science Journal
  • Authors: Jeanette J. Varela, Christine M. Anderson‐Cook, Brian P. Weaver, Lawrence O. Ticknor, Cary B. Skidmore
  • Published Date: Dec 26, 2018

In this article, a simple approach to modeling heat transfer between the outside environment to a location inside a building is used to precisely predict indoor temperatures for a large...

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