Working Papers

Statistics working paper series 2015

Working Paper Number Author/s Title
01-15 Noel Cressie and Emily L. Kang Hot Enough for You? A Spatial Exploratory and Inferential Analysis of North American Climate-Change Projections
02-15 Noel Cressie, Sandy Burden, Walter Davis, Pavel Krivitsky, Payam Mokhtarian, Thomas Suesse, and Andrew Zammit-Mangion Capturing Multivariate Spatial Dependence: Model, Estimate, and then Predict
03-15 James O. Chipperfield, Margo L. Barr, and David G. Steel Split Questionnaire Designs: are they an efficient design choice?
04-15 T. Suesse, J.C.W Rayner, and O. Thas Smooth Tests of Fit for Finite Mixture Distributions
05-15 Pavel N. Krivitsky and Martina Morris

Inference for Social Network Models from Egocentrically-Sampled Data, with Application to Understanding Persistent Racial Disparities in HIV Prevalence in the US.

NOTE: This working paper has been superseded. The final version has been published at Krivitsky, P. N. & Morris, M. Inference for Social Network Models from Egocentrically-Sampled Data, with Application to Understanding Persistent Racial Disparities in HI Prevalence in the US. Annals of Applied Statistics, 2017, 11, 427-455. doi:10.1214/16-AOAS1010

06-15 D.J. Best and J.C.W Rayner A Note on the CMH General Association Statistic and Square Contingency Tables
07-15 Noel Cressie and Andrew Zammit-Mangion Multivariate Spatial Covariance Models: A Conditional Approach
08-15 Noel Cressie and Raymond L. Chambers Comment: Spatial sampling designs depend as much on “how much?” and “why?” as on “where?”
09-15 Sandy Burden, Noel Cressie, and David Steel The SAR model for very large datasets: A reduced rank approach
10-15 Thomas Suesse, Mohammad-Reza Namazi-Rad, Payam Mokhtarian, and Johan Barthelemy Estimating Cross-Classified Population Counts of Multidimensional Tables: An Application to Regional Australia to Obtain Pseudo-Census Counts
11-15 Pavel N. Krivitsky

Using Contrastive Divergence to Seed Monte Carlo MLE for Exponential-Family Random Graph Models

NOTE: This working paper has been superseded. The final version has been published at Using Contrastive Divergence to Seed Monte Carlo MLE for Exponential-Family Random Graph Models. Computational Statistics & Data Analysis, 2017, 107, 149-161. doi:10.1016/j.csda.2016.10.015

12-15 Noel Cressie and Sandy Burden Figures of Merit for Simultaneous Inference and Comparisons in Simulation Experiments
13-15 Anoop Chaturvedi, Ashutosh Kumar Dubey, and Chandra Gulati Statistical Process Control for Autocorrelated Data on Grid
14-15 Andrew Zammit-Mangion, Noel Cressie, Anita L. Ganesan, Simon O' Doherty, and Alistair J. Manning Spatio-Temporal Bivariate Statistical Models for Atmospheric Trace-gas Inversion
15-15 Robert Graham Clark Efficiency and Robustness in Distance Sampling
16-15 D.J. Best and J.C.W. Rayner A note on a moment test of fit for a mixture of two poisson distributions
17-15 Luke Muzur, Thomas Suesse, and Pavel N. Krivitsky Investigating Foreign Portfolio Investment Holding: Gravity Model with Social Network Analysis
Last reviewed: 16 August, 2017