Hasil untuk "stat.AP"

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arXiv Open Access 2024
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.

en stat.AP
arXiv Open Access 2020
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.

en stat.AP, math.PR
arXiv Open Access 2020
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.

en stat.AP, math.ST
arXiv Open Access 2018
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.

en stat.AP
arXiv Open Access 2012
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.

en stat.AP, cs.SI
arXiv Open Access 2010
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.

en stat.AP