output
20092026
most citedParallelizing MCMC with Random Partition Trees

50 citations

Showing stat.MEShow all

7 papers · 1 filter

stat.ME2026

Degrees-of-Freedom Approximations for Conditional-Mean Inference in Random-Lot Stability Analysis

Andrew T. Karl, Heath Rushing, Richard K. Burdick +1

Linear mixed models are widely used for pharmaceutical stability trending when sufficient lots are available. Expiry support is often based on whether lot-specific conditional-mean…

stat.ME2018

A Practical Approach to Proper Inference with Linked Data

Andee Kaplan, Brenda Betancourt, Rebecca C. Steorts

Entity resolution (ER), comprising record linkage and de-duplication, is the process of merging noisy databases in the absence of unique identifiers to remove duplicate entities. O…

stat.ME2018

Conditional and marginal relative risk parameters for a class of recursive regression graph models

Monia Lupparelli

In linear regression modelling the distortion of effects after marginalizing over variables of the conditioning set has been widely studied in several contexts. For Gaussian variab…

stat.ME2015

Model Choice and Diagnostics for Linear Mixed-Effects Models Using Statistics on Street Corners

Adam Loy, Heike Hofmann, Dianne Cook

The complexity of linear mixed-effects (LME) models means that traditional diagnostics are rendered less effective. This is due to a breakdown of asymptotic results, boundary issue…

stat.ME2014★ 38 cited

High Dimensional Forecasting via Interpretable Vector Autoregression

William B. Nicholson, Ines Wilms, Jacob Bien +1

Vector autoregression (VAR) is a fundamental tool for modeling multivariate time series. However, as the number of component series is increased, the VAR model becomes overparamete…

stat.ME2013★ 3 cited

Meta-Analysis of Gene Level Association Tests

Dajiang J. Liu, Gina M. Peloso, Xiaowei Zhan +18

The vast majority of connections between complex disease and common genetic variants were identified through meta-analysis, a powerful approach that enables large samples sizes whi…