Terrance D. Savitsky

According to our database, Terrance D. Savitsky authored at least 9 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

baysc: An R package for Bayesian survey clustering.

Stephanie M. Wu, Matthew R. Williams, Terrance D. Savitsky, Briana J. K. Stephenson

J. Open Source Softw., March, 2026

Simulation-based Calibration of Uncertainty Intervals under Approximate Bayesian Estimation.

Terrance D. Savitsky, Julie Gershunskaya

J. Mach. Learn. Res., 2026

2025

Bayesian Pseudo Posterior Mechanism for Differentially Private Machine Learning.

Robert F. Chew, Matthew R. Williams, Elan A. Segarra, Alexander Preiss, Amanda Konet, Terrance D. Savitsky

CoRR, March, 2025

2024

Optimization for Calibration of Survey Weights under a Large Number of Conflicting Constraints.

Matthew R. Williams, Terrance D. Savitsky

J. Comput. Graph. Stat., 2024

2023

Bayesian Data Synthesis and Disclosure Risk Quantification: An Application to the Consumer Expenditure Surveys.

Jingchen Hu, Terrance D. Savitsky

Trans. Data Priv., May, 2023

The growclusters Package for R.

Randall Powers, Wendy Martinez, Terrance D. Savitsky

CoRR, 2023

2022

Bayesian Pseudo Posterior Mechanism under Asymptotic Differential Privacy.

Terrance D. Savitsky, Matthew R. Williams, Jingchen Hu

J. Mach. Learn. Res., 2022

Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior.

Rajarshi Guhaniyogi, Cheng Li, Terrance D. Savitsky, Sanvesh Srivastava

J. Mach. Learn. Res., 2022

2016

Scalable Approximate Bayesian Inference for Outlier Detection under Informative Sampling.

Terrance D. Savitsky

J. Mach. Learn. Res., 2016