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Random forest missing data algorithms Early View

  • Journal: Statistical Analysis and Data Mining: The ASA Data Science Journal
  • Authors: Fei Tang, Hemant Ishwaran
  • Published Date: Jun 13, 2017

Random forest (RF) missing data algorithms are an attractive approach for imputing missing data. They have the desirable properties of being able to handle mixed types of missing data,...

Bayesian kernel machine models for testing genetic pathway effects in prostate cancer prognosis Early View

  • Journal: Statistical Analysis and Data Mining: The ASA Data Science Journal
  • Authors: Chang Xu, Sounak Chakraborty
  • Published Date: Jun 09, 2017

In this paper we propose a Bayesian semiparametric regression model to estimate and test the effect of a genetic pathway on prostate‐specific antigen (PSA) measurements for patients with...

A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints Early View

  • Journal: Statistical Analysis and Data Mining: The ASA Data Science Journal
  • Authors: Qiwei Li, Michele Guindani, Brian J. Reich, Howard D. Bondell, Marina Vannucci
  • Published Date: Jun 08, 2017

In this paper, we consider the problem of modeling a matrix of count data, where multiple features are observed as counts over a number of samples. Due to the nature of the data generating...

A wavelet threshold denoising procedure for multimodel predictions: An application to economic time series Early View

  • Journal: Statistical Analysis and Data Mining: The ASA Data Science Journal
  • Authors: Livio Fenga
  • Published Date: Jul 31, 2017

Noise‐affected economic time series, realizations of stochastic processes exhibiting complex and possibly nonlinear dynamics, are dealt with. This is often the case of time series found in...

Time‐dependent global sensitivity analysis with active subspaces for a lithium ion battery model Early View

  • Journal: Statistical Analysis and Data Mining: The ASA Data Science Journal
  • Authors: Paul G. Constantine, Alireza Doostan
  • Published Date: Aug 11, 2017

Renewable energy researchers use computer simulation to aid the design of lithium ion storage devices. The underlying models contain several physical input parameters that affect model...

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...

Book Review Early View

  • Journal: Australian & New Zealand Journal of Statistics
  • Authors: Peter M. Visscher
  • Published Date: Jun 29, 2017

Bayesian regression with B‐splines under combinations of shape constraints and smoothness properties Early View

  • Journal: Statistica Neerlandica
  • Authors: Christophe Abraham, Khader Khadraoui
  • Published Date: Nov 21, 2014

In this paper, we approach the problem of shape constrained regression from a Bayesian perspective. A B‐splines basis is used to model the regression function. The smoothness of the...

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