Optimal Designs for Spherical Harmonic Regression
Linda M. Haines
This short paper is concerned with the use of spherical t-designs as optimal designs for the spherical harmonic regression model in three dimensions over a range of specified criteria. The nature of the designs is explored and their availability and suitability is reviewed.
On fixed and uncertain mixture prior weights
Beat Neuenschwander, Simon Wandel, Satrajit Roychoudhury
et al.
This paper focuses on the specification of the weights for the components of mixture priors.
Moments of the multivariate Beta distribution
Feng Zhao
In this paper, we extend Beta distribution to 2 by 2 matrix and give the analytical formula for its moments. Our analytical formula can be used to analyze the asymptotic behavior of Beta distribution for 2 by 2 matrix.
Predicting Residential Property Value in Catonsville, Maryland: A Comparison of Multiple Regression Techniques
Lee Whieldon, Huthaifa Ashqar
Predicting Residential Property Value in Catonsville, Maryland: A Comparison of Multiple Regression Techniques
A Data-driven Change-point Estimator
Stefanie Schwaar
The q-weighted CUSUM and their corresponding estimator are well known statistics for change-point detection and estimation. They have the difficulty that the performance is highly dependent on the location of the change. An adaptive estimator with data-driven weights is presented to overcome this problem, and it is shown that the corresponding adaptive change-point tests are valid.
Consistency of Forecasts for the U.S. House of Representatives
Henry Bendekgey
We consider the performance of the foremost academic House of Representatives forecasting models in the 2018 elections. In creating open-source implementations of these models, we outline key underlying assumptions. We find that although the results were unsurprising, they indicate a weakening of many traditional forecasting indicators.
Notes on Creating a Standardized Version of DVARS
Thomas E. Nichols
By constructing a sampling distribution for DVARS we can create a standardized version of DVARS that should be more similar across scanners and datasets.
Discussion of "Estimating the historical and future probabilities of large terrorist events" by Aaron Clauset and Ryan Woodard
Gentry White
Discussion of "Estimating the historical and future probabilities of large terrorist events" by Aaron Clauset and Ryan Woodard [arXiv:1209.0089].
Quick overview of inference methods in PLoM: combining fast and exact plug-and-play algorithms to achieve flexibility, precision and efficiency
Antoine Basset, Joseph Dureau, Sébastien Ballesteros
et al.
Overview of inference methods in PLoM.
On sampling social networking services
Baiyang Wang
This article aims at summarizing the existing methods for sampling social networking services and proposing a faster confidence interval for related sampling methods. It also includes comparisons of common network sampling techniques.
Comment on: Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance
Michael Eichler
We comment on a paper by Kaminski et al. (2001) and show that their claim of a relationship between the directed transfer function (DTF) and the concept of Granger causality is false.
Modelling comonotonic group-life under dependent decrement causes
Dabuxilatu Wang
Comonotonicity had been a extreme case of dependency between random variables. This article consider an extension of single life model under multiple dependent decrement causes to the case of comonotonic group-life.
Experience Rating with Poisson Mixtures
Garfield Brown, Steve Brooks, Winston Buckley
We present a mixture Poisson model for claims counts in which the number of components in the mixture are estimated by reversible jump MCMC methods.
The construction of variance estimators for particulate material sampling
B. Geelhoed
The variance of the concentration in a sample can be estimated using knowledge of the particle masses, concentrations and the parameter for the dependent selection of particles. A number of variance estimators are constructed including a class of hybrid estimators.
Discussion of: Brownian distance covariance
Christopher R. Genovese
Discussion on "Brownian distance covariance" by Gábor J. Székely and Maria L. Rizzo [arXiv:1010.0297]
Thoughts on new statistical procedures for age-period-cohort analyses
Andrew Gelman
Age-period-cohort analysis is mathematically intractable because of fundamental nonidentifiability of linear trends. However, some understanding can be gained in the context of individual problems.
Discussion of: Statistical analysis of an archeological find--skeptical counting challenges to an archaeological find
Sheila M. Bird
Discussion of ``Statistical analysis of an archeological find'' by Andrey Feuerverger [arXiv:0804.0079]
Discussion of: Statistical analysis of an archeological find
Camil Fuchs
Discussion of ``Statistical analysis of an archeological find'' by Andrey Feuerverger [arXiv:0804.0079]
Discussion of: Bayesian views of an archaeological find
Joseph B. Kadane
Discussion of ``Statistical analysis of an archeological find'' by Andrey Feuerverger [arXiv:0804.0079]
Correction: A correlated topic model of Science
David M. Blei, John D. Lafferty
Correction to Annals of Applied Statistics 1 (2007) 17--35 [doi:10.1214/07-AOAS114]