Arman Sabbaghi

发表

Model transfer across additive manufacturing processes via mean effect equivalence of lurking variables

Arman Sabbaghi, Qiang Huang, 2018, The Annals of Applied Statistics.

Indicator functions and the algebra of the linear-quadratic parameterization

Arman Sabbaghi, Tirthankar Dasgupta, C. F. J. Wu, 2014 .

Comments on the Neyman-Fisher Controversy and Its Consequences

D. Rubin, Arman Sabbaghi, 2014, 1409.2675.

Optimal Offline Compensation of Shape Shrinkage for 3 D Printing Processes

Tirthankar Dasgupta, Arman Sabbaghi, Qiang Huang, 2013 .

Submitted to the Annals of Applied Statistics INFERENCE FOR DEFORMATION AND INTERFERENCE IN 3 D PRINTING By

Arman Sabbaghi, Qiang Huang, Tirthankar Dasgupta, 2013 .

Bayesian Model Building From Small Samples of Disparate Data for 3D Printing

Arman Sabbaghi, Qiang Huang, Tirthankar Dasgupta, 2017 .

Impact of an oral amino acid provision on Achilles peritendinous amino acid concentrations in young and older adults

Arman Sabbaghi, C. Carroll, Shivam H. Patel, 2021, bioRxiv.

An Evaluation of Estimation Capacity Under the Conditional Main Effect Parameterization

Arman Sabbaghi, 2019, Journal of Statistical Theory and Practice.

Supplement to “ Comments on the Neyman-Fisher Controversy and its Consequences ”

D. Rubin, Arman Sabbaghi, 2013 .

THE PURDUE UNIVERSITY GRADUATE SCHOOL STATEMENT OF DISSERTATION APPROVAL

Arman Sabbaghi, R. S. Ferreira, Raquel De Souza Borges Ferreira, 2019 .

Characterizing veteran and PTSD service dog teams: Exploring potential mechanisms of symptom change and canine predictors of efficacy

Arman Sabbaghi, Kerri E. Rodriguez, M. O’Haire, 2022, PloS one.

Automated variance modeling for three-dimensional point cloud data via Bayesian neural networks

B. Bidanda, Arman Sabbaghi, Zhaohui Geng, 2022, IISE Transactions.

Dismemberment and Design for Controlling the Replication Variance of Regret for the Multi-Armed Bandit

Timothy J. Keaton, Arman Sabbaghi, 2022, Journal of Statistical Theory and Practice.

Degree of Interference: A General Framework For Causal Inference Under Interference

Arman Sabbaghi, Yuki Ohnishi, Yuki Ohnishi, 2022 .

The impact of genistein supplementation on tendon functional properties and gene expression in estrogen deficient rats

R. Howden, Arman Sabbaghi, C. Carroll, 2019, bioRxiv.

A framework of tolerance specification for freeform point clouds and capability analysis for reverse engineering processes

B. Bidanda, Arman Sabbaghi, Zhaohui Geng, 2022, Int. J. Prod. Res..

A Bayesian Analysis of Two-Stage Randomized Experiments in the Presence of Interference, Treatment Nonadherence, and Missing Outcomes

Arman Sabbaghi, Yuki Ohnishi, 2021, Bayesian Analysis.

Automated Geometric Shape Deviation Modeling for Additive Manufacturing Systems via Bayesian Neural Networks

Qiang Huang, Raquel de Souza Borges Ferreira, Arman Sabbaghi, 2020, IEEE Transactions on Automation Science and Engineering.

Data-driven and probabilistic learning of the process-structure-property relationship in solution-grown tellurene for optimized nanomanufacturing of high-performance nanoelectronics

P. Ye, Yong Qin, Wenzhuo Wu, 2019, Nano Energy.

Modeling In-Plane Deviations of Shapes to Come Based on Prior Deviation Features in Additive Manufacturing

Arman Sabbaghi, Arman Sabbaghi, 2019, AHFE.

Dilemmas in Design: From Neyman and Fisher to 3D Printing

Arman Sabbaghi, 2014 .

Efficient Distortion Prediction of Additively Manufactured Parts Using Bayesian Model Transfer Between Material Systems

Linkan Bian, Arman Sabbaghi, Jack Francis, 2020 .

Water safety attitudes, risk perception, experiences, and education for households impacted by the 2018 Camp Fire, California

Arman Sabbaghi, Juneseok Lee, A. Whelton, 2021, Natural Hazards.

Visualizations for interrogations of multi‐armed bandits

Arman Sabbaghi, Timothy J. Keaton, Arman Sabbaghi, 2019, Stat.

Optimal offline compensation of shape shrinkage for three-dimensional printing processes

Tirthankar Dasgupta, Qiang Huang, Arman Sabbaghi, 2015 .

An integrative framework for geometric and hidden projections in three-level fractional factorial designs

Arman Sabbaghi, Arman Sabbaghi, 2021 .

Distributed Design for Causal Inferences on Big Observational Data

Arman Sabbaghi, Yumin Zhang, 2022, 2203.08256.

The Designed Bootstrap for Causal Inference in Big Observational Data

Arman Sabbaghi, Yumin Zhang, Arman Sabbaghi, 2021, Journal of Statistical Theory and Practice.

Advanced Glycation End-Products Suppress Mitochondrial Function and Proliferative Capacity of Achilles Tendon-Derived Fibroblasts

S. Kuang, Feng Yue, Arman Sabbaghi, 2019, Scientific Reports.

Streptozotocin-induced diabetes alters transcription of multiple genes necessary for extracellular matrix remodeling in rat patellar tendon

Arman Sabbaghi, C. Carroll, Shivam H. Patel, 2018, Connective tissue research.

A Bayesian Analysis of Two-Stage Randomized Experiments in the Presence of Interference, Treatment Nonadherence, and Missing Outcomes

Arman Sabbaghi, Yuki Ohnishi, 2021, Bayesian Analysis.

Bayesian additive modeling for quality control of 3D printed products

Qiang Huang, Tirthankar Dasgupta, Arman Sabbaghi, 2015, 2015 IEEE International Conference on Automation Science and Engineering (CASE).

Degree of Interference: A General Framework For Causal Inference Under Interference

Arman Sabbaghi, B. Karmakar, Yuki Ohnishi, 2022, 2210.17516.

Impact of essential amino acid intake, resistance exercise, and aging on the concentration of Achilles peritendinous amino acids and procollagen Iα1 in humans

Arman Sabbaghi, C. Carroll, Shivam H. Patel, 2023, Amino Acids.

A Weighted Prognostic Covariate Adjustment Method for Efficient and Powerful Treatment Effect Inferences in Randomized Controlled Trials

Arman Sabbaghi, J. Walsh, Charles K. Fisher, 2023, 2309.14256.

A Bayesian Analysis of Two-Stage Randomized Experiments in the Presence of Interference and Treatment Nonadherence

Arman Sabbaghi, Yuki Ohnishi, 2022 .

Bayesian Approach to Two-Stage Randomized Experiments in the Presence of Interference and Noncompliance

Arman Sabbaghi, Yuki Ohnishi, Arman Sabbaghi, 2021 .

Reconstructing original design: Process planning for reverse engineering

B. Bidanda, Arman Sabbaghi, Zhaohui Geng, 2022, IISE Transactions.