National Institute for Applied Statistics Research Australia Working Paper Series. This follow on the Centre for Statistical & Survey Methodology Working Paper series 2008-13.
Papers from 2016
Examining associations in cross-sectional studies, Margo L. Barr, Robert Clark, and David G. Steel
Applications of Madansky’s Q, D J. Best and J. C. W Rayner
Probabilistic evaluation of competing climate models, Amy Braverman, Snigdhansu Chatterjee, Megan Heyman, and Noel Cressie
Environmental informatics, Noel Cressie, Sandy Burden, Clint Shumack, Andrew Zammit-Mangion, and Bohai Zhang
Statistical bias and variance for the regularized-inverse problem: application to Space-based atmospheric CO2 retrievals, N Cressie, R Wang, M Smyth, and C E. Miller
The analysis of QTL and QTL x treatment experiments using spatial models for marker effects, Brian Cullis and Alison Smith
Linkage map construction for the Cranbrook x Halberd mapping population, Brian Cullis, Emi Tanaka, Lauren Borg, and Alison Smith
Two-scale spatial models for binary data, Cecile Hardouin and Noel Cressie
An unconstrained statistical matching algorithm for combing individual and household level geo-specific census and survey data, Mohammad-Reza Namazi-Rad, Robert Tanton, David Steel, Payam Mokhtarian, and Sumonkanti Das
Multivariate spatial data fusion for very large remote sensing datasets, Hai Nguyen, Noel Cressie, and Amy Braverman
Linear mixed models for genomic selection, Alison Smith, Emi Tanaka, Brian Cullis, and Robin Thompson
Non-gaussian bivariate modelling with application to atmospheric trace-gas inversion, Andrew Zammit-Mangion, Noel Cressie, and Anita L. Ganesan
Statistical properties of atmospheric greenhouse gas measurements: looking down from space and looking up from the ground, Bohai Zhang, Noel Cressie, and Debra Wunch
Papers from 2015
A note on the CMH general association statistic and square contingency tables, D. J Best and J.C.W Rayner
A note on a moment test of fit for a mixture of two Poisson distributions, D. J. Best and J. C.W Rayner
The SAR model for very large datasets: A reduced rank approach, Sandy Burden, Noel Cressie, and David Steel
Statistical process control for autocorrelated data on grid, Anoop Chaturvedi, Ashutosh Kumar Dubey, and Chandra Gulati
Split Questionnaire Designs: are they an efficient design choice?, James O. Chipperfield, Margo L. Barr, and David G. Steel
Efficiency and robustness in distance sampling, Robert Graham Clark
Figures of merit for simultaneous inference and comparisons in simulation experiments, Noel Cressie and Sandy Burden
Capturing multivariate spatial dependence: model, estimate, and then predict, Noel Cressie, Sandy Burden, Walter Davis, Pavel Krivitsky, Payam Mokhtarian, Thomas Suesse, and Andrew Zammit-Mangion
Comment: Spatial sampling designs depend as much on “how much?” and “why?” as on “where?”, Noel Cressie and Raymond L. Chambers
Hot enough for you? A spatial exploratory and inferential analysis of North American climate-change projections, Noel Cressie and Emily L. Kang
Multivariate spatial covariance models: a conditional approach, Noel Cressie and Andrew Zammit-Mangion
Using contrastive divergence to seed Monte Carlo MLE for exponential-family random graph models, Pavel Krivitsky
Inference for social network models from egocentrically-sampled data, with application to understanding persistent racial disparities in HIV prevalence in the US, Pavel N. Krivitsky and Martina Morris
Investigating foreign portfolio investment holding: gravity model with social network analysis, Luke Muzur, Thomas Suesse, and Pavel N. Krivitisky
Estimating cross-classified population counts of multidimensional tables: an application to regional Australia to obtain pseudo-census counts, Thomas Suesse, Mohmmad-Reza Namazi-Rad, Payam Mokhtarian, and Johan Barthelemy
Smooth tests of fit for finite mixture distributions, T Suesse, J. C. W Rayner, and O Thas
Spatio-temporal bivariate statistical models for atmospheric trace-gas inversion, Andrew Zammit-Mangion, Noel Cressie, Anita L. Ganesan, Simon O'Doherty, and Alistair J. Manning
Papers from 2014
Inclusion of mobile telephone numbers into an ongoing population health survey in New South Wales, Australia using an overlapping dual -frame design: final weighting strategy, Margo L. Barr, Raymond A. Ferguson, Phil J. Hughes, and David G. Steel
Passing the repeal of the carbon tax back to wholesale electricity prices, Stephen Beare
Smooth tests of fit for more flexible alternatives to the exponential and Poisson: the Lindley and Poisson-Lindley distributions, D J. Best and J C W Rayner
A comparison of spatial predictors when datasets could be very large, Jonathan R. Bradley, Noel Cressie, and Tao Shi
Model-assisted sample design of a first phase survey with two second-phase surveys, Robert Graham Clark
Re-thinking soil carbon modelling: a stochastic approach to quantify uncertainties, D Clifford, D Pagendam, J Baldock, N Cressie, R Farquharson, M Farrell, L Macdonald, and L Murray
Evaluation of diagnostics for hierarchical spatial statistical models, Noel Cressie and Sandy Burden
Density approximant based on noise multiplied data, Yan-Xia Lin
Density approximant based on noise multiplied data: MaskDensity10.R and its applications, Yan-Xia Lin and Mark James Fielding
Model-assisted optimal allocation for planned domains using composite estimation, Wilford B. Molefe and Robert Graham Clark
Spatio-temporal data fusion for very large remote sensing datasets, Hai Nguyen, Matthais Katzfuss, Noel Cressie, and Amy Braverman
Cointegration with a time trend and pairs trading strategy: empirical study on the S&P 500 future and spot index prices, Heni Puspaningrum, Yan-Xia Lin, and Chandra Gulati
Extended analysis of at least partially ordered multi-factor ANOVA, J C W Rayner, D J. Best, and O Thas
Predictive inference for big, spatial, non-Gaussian data: MODIS cloud data and its change-of-support, Aritra Sengupta, Noel Cressie, Brian H. Kahn, and Richard Frey
Visualizing massive spatial datasets using multi-resolution global grids, T Stough, A Braverman, N Cressie, E Kang, A M. Michalak, and H Nguyen
Using social network information for survey estimation, Thomas Suesse and Ray Chambers
Mantel-Haenszel estimators of a common local odds ratio for multiple response data, Thomas Suesse and Ivy Liu
Bayesian hierarchical statistical SIRS models, Lili Zhuang and Noel Cressie