JSTOR Daily

Bayesian Adaptive Regression Splines for Hierarchical Data

This article considers methodology for hierarchical functional data analysis, motivated by studies of reproductive hormone profiles in the menstrual cycle. Current methods standardize the cycle ...
ascopubs.org

Hierarchical clustering analysis for predicting 30-day readmissions after major surgery for prostate cancer.

Transperineal prostate biopsies without routine administration of perioperative antibiotics: A single-institution retrospective analysis. Results from logistic regression analysis showing significant ...
JSTOR Daily

A Tree-Ring-Based Reconstruction of Delaware River Basin Streamflow Using Hierarchical Bayesian Regression

This is a preview. Log in through your library . Abstract ABSTRACT A hierarchical Bayesian regression model is presented for reconstructing the average summer streamflow at five gauges in the Delaware ...
Semiconductor Engineering

Accellera Standard Supports Hierarchical Data Model For CDC And RDC Analysis

Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.
Boston College

Hierarchical Gaussian Process Regression for Meta-Learning of Molecular Geometry Optimization

Quantum chemistry uses quantum mechanics for the first-principle exploration of chemical systems. In principle, all chemical phenomena can be studied by solving the Schrödinger equation, the ...
insider.si.edu

Data analysis using regression and multilevel/hierarchical models / Andrew Gelman, Jennifer Hill

STRI copy 39088014660302 purchased with funds from the S. Dillon Ripley Endowment. SERC copy 39088016914160 purchased with funds from the S. Dillon Ripley Endowment ...
EDN

Hierarchical timing analysis: Pros, cons, and a new approach

As digital semiconductor designs continue to grow larger, designers are looking to hierarchical methodologies to help alleviate huge runtimes. This approach allows designers to select and time certain ...