Savitsky, Terrance D.

1. Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior
   2020/06/01 by Guhaniyogi, Rajarshi, Li, Cheng, Savitsky, Terrance D. +1 · 6 citations
   #Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME)
2. Bayesian Estimation Under Informative Sampling
   2015/07/25 by Savitsky, Terrance D., Toth, Daniell · 4 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
3. A Divide-and-Conquer Bayesian Approach to Large-Scale Kriging
   2017/12/28 by Rajarshi Guhaniyogi, Guhaniyogi, Rajarshi, Cheng Li +5 · 3 citations
   Economics, Econometrics and Finance · Environmental Science · #Economic and Environmental Valuation #FOS: Computer and information sciences #Methodology (stat.ME) #Soil Geostatistics and Mapping #Spatial and Panel Data Analysis
4. Optimization of Survey Weights under a Large Number of Conflicting Constraints
   2019/01/12 by Matthew R. Williams, Williams, Matthew R., Terrance D. Savitsky +1 · 1 citation
   Mathematics · #Advanced Statistical Methods and Models #Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
5. Joint Point and Variance Estimation under a Hierarchical Bayesian model for Survey Count Data
   2022/10/25 by Savitsky, Terrance D., Gershunskaya, Julie, Crankshaw, Mark · 1 citation
   #FOS: Computer and information sciences #Methodology (stat.ME)
6. Fully Bayesian Estimation Under Informative Sampling
   2017/09/29 by Leon-Novelo, Luis G., Savitsky, Terrance D. · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
7. Derivation of outcome-dependent dietary patterns for low-income women obtained from survey data using a Supervised Weighted Overfitted Latent Class Analysis
   2023/10/02 by Stephanie M. Wu, Matthew R. Williams, Wu, Stephanie M. +5 · 1 citation
   Medicine · #Applications (stat.AP) #FOS: Computer and information sciences #Methodology (stat.ME) #Nutritional Studies and Diet
8. Bayesian Data Synthesis and Disclosure Risk Quantification: An Application to the Consumer Expenditure Surveys
   2018/09/26 by Jingchen Hu, Terrance D. Savitsky, Hu, Jingchen +1 · 1 citation
   Computer Science · Decision Sciences · Business, Management and Accounting · #Bayesian Methods and Mixture Models #Probability and Risk Models #Consumer Market Behavior and Pricing