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5 papers · 1 filter
Inference for Multivariate Regression Model based on synthetic data generated under Fixed-Posterior Predictive Sampling: comparison with Plug-in Sampling
Ricardo Moura, Martin Klein, Carlos A. Coelho +1
The authors derive likelihood-based exact inference methods for the multivariate regression model, for singly imputed synthetic data generated via Posterior Predictive Sampling (PP…
Asymptotic theory of cepstral random fields
Tucker S. McElroy, Scott H. Holan
Random fields play a central role in the analysis of spatially correlated data and, as a result, have a significant impact on a broad array of scientific applications. This paper s…
Computer-intensive rate estimation, diverging statistics and scanning
Tucker McElroy, Dimitris N. Politis
A general rate estimation method is proposed that is based on studying the in-sample evolution of appropriately chosen diverging/converging statistics. The proposed rate estimators…
Stable marked point processes
Tucker McElroy, Dimitris N. Politis
In many contexts such as queuing theory, spatial statistics, geostatistics and meteorology, data are observed at irregular spatial positions. One model of this situation involves c…
Recursive estimation of possibly misspecified MA(1) models: Convergence of a general algorithm
James L. Cantor, David F. Findley
We introduce a recursive algorithm of conveniently general form for estimating the coefficient of a moving average model of order one and obtain convergence results for both correc…