Saved in:
| Main Author: | Johnson, Geoffrey S |
|---|---|
| Format: | Preprint |
| Published: |
2020
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2005.04721 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Bayesian Discrete Framework for Enhancing Decision-Making Processes in Clinical Trial Designs and Evaluations
by: Pramanik, Paramahansa, et al.
Published: (2026)
by: Pramanik, Paramahansa, et al.
Published: (2026)
GenAI Powered Dynamic Causal Inference with Unstructured Data
by: Nakamura, Kentaro, et al.
Published: (2026)
by: Nakamura, Kentaro, et al.
Published: (2026)
Evaluating the Surrogate Index as a Decision-Making Tool Using 200 A/B Tests at Netflix
by: Zhang, Vickie, et al.
Published: (2023)
by: Zhang, Vickie, et al.
Published: (2023)
Prior Elicitation for Generalised Linear Models and Extensions
by: Hosack, Geoffrey R.
Published: (2023)
by: Hosack, Geoffrey R.
Published: (2023)
A Seamless Phase II/III Design with Dose Optimization for Oncology Drug Development
by: Li, Yuhan, et al.
Published: (2024)
by: Li, Yuhan, et al.
Published: (2024)
HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments
by: Guo, Xingche, et al.
Published: (2024)
by: Guo, Xingche, et al.
Published: (2024)
Scalable Decisions using a Bayesian Decision-Theoretic Approach
by: Ng, Hoiyi, et al.
Published: (2026)
by: Ng, Hoiyi, et al.
Published: (2026)
Accelerating Bayesian Inference via Multi-Fidelity Transport Map Coupling
by: Muchandimath, Sanjan C., et al.
Published: (2025)
by: Muchandimath, Sanjan C., et al.
Published: (2025)
Inference for bivariate extremes via a semi-parametric angular-radial model
by: Murphy-Barltrop, Callum John Rowlandson, et al.
Published: (2024)
by: Murphy-Barltrop, Callum John Rowlandson, et al.
Published: (2024)
Multiscale Topological Inference for Marked Point Processes via Euler Characteristic Envelopes
by: Eckardt, Matthias, et al.
Published: (2026)
by: Eckardt, Matthias, et al.
Published: (2026)
Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
by: Yao, Minhao, et al.
Published: (2025)
by: Yao, Minhao, et al.
Published: (2025)
Selective Inference in Graphical Models via Maximum Likelihood
by: Guglielmini, Sofia, et al.
Published: (2025)
by: Guglielmini, Sofia, et al.
Published: (2025)
Bayesian Inference for Joint Tail Risk in Paired Biomarkers via Archimedean Copulas with Restricted Jeffreys Priors
by: Aich, Agnideep, et al.
Published: (2026)
by: Aich, Agnideep, et al.
Published: (2026)
Causal Inference for Circular Data
by: Wu, Kuan-Hsun
Published: (2025)
by: Wu, Kuan-Hsun
Published: (2025)
Estimation and Inference for Causal Explainability
by: Zhang, Weihan, et al.
Published: (2025)
by: Zhang, Weihan, et al.
Published: (2025)
Powerful Foldover Designs
by: Stallrich, Jonathan W., et al.
Published: (2025)
by: Stallrich, Jonathan W., et al.
Published: (2025)
Causal Inference in Genetic Trio Studies
by: Bates, Stephen, et al.
Published: (2020)
by: Bates, Stephen, et al.
Published: (2020)
Longitudinal Causal Inference with Selective Eligibility
by: Jiang, Zhichao, et al.
Published: (2024)
by: Jiang, Zhichao, et al.
Published: (2024)
A Computationally Efficient Approach to False Discovery Rate Control and Power Maximisation via Randomisation and Mirror Statistic
by: Molinari, Marco, et al.
Published: (2024)
by: Molinari, Marco, et al.
Published: (2024)
Learning Fair Decisions with Factor Models: Applications to Annuity Pricing
by: Huang, Fei, et al.
Published: (2024)
by: Huang, Fei, et al.
Published: (2024)
Nonlinear Amplification of Finite-Sample Uncertainty in Capability-Based Decisions
by: Jiang, Fei, et al.
Published: (2026)
by: Jiang, Fei, et al.
Published: (2026)
Proximal Causal Inference for Modified Treatment Policies
by: Olivas-Martinez, Antonio, et al.
Published: (2025)
by: Olivas-Martinez, Antonio, et al.
Published: (2025)
Causal Inference Using Augmented Epidemic Models
by: Bong, Heejong, et al.
Published: (2024)
by: Bong, Heejong, et al.
Published: (2024)
Semiparametric Inference for Causal Effects on Functional Outcomes
by: Nie, Junzhu, et al.
Published: (2026)
by: Nie, Junzhu, et al.
Published: (2026)
lmw: Linear Model Weights for Causal Inference
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
by: Chattopadhyay, Ambarish, et al.
Published: (2023)
Policy Robustness & Uncertainty in Model-based Decision Support for the Energy Transition
by: Burton, Ian J., et al.
Published: (2025)
by: Burton, Ian J., et al.
Published: (2025)
False Discovery Rate and Localizing Power
by: Winkler, Anderson M., et al.
Published: (2024)
by: Winkler, Anderson M., et al.
Published: (2024)
A Bayesian Approach for Inference on Mixed Graphical Models
by: Florez, Mauro, et al.
Published: (2025)
by: Florez, Mauro, et al.
Published: (2025)
DIF Statistical Inference without Knowing Anchoring Items
by: Chen, Yunxiao, et al.
Published: (2021)
by: Chen, Yunxiao, et al.
Published: (2021)
The Estimand Framework and Causal Inference: Complementary not Competing Paradigms
by: Drury, Thomas, et al.
Published: (2024)
by: Drury, Thomas, et al.
Published: (2024)
Bayesian Inference of Geometric Brownian Motion: An Extension with Jumps
by: Yan, Yifei, et al.
Published: (2025)
by: Yan, Yifei, et al.
Published: (2025)
Causal Inference for Continuous Multiple Time Point Interventions
by: Schomaker, Michael, et al.
Published: (2023)
by: Schomaker, Michael, et al.
Published: (2023)
Variational Inference for Fully Bayesian Hierarchical Linear Models
by: Parra-Aldana, Cristian, et al.
Published: (2025)
by: Parra-Aldana, Cristian, et al.
Published: (2025)
The Use of Variational Inference for Lifetime Data with Spatial Correlations
by: Wang, Yueyao, et al.
Published: (2025)
by: Wang, Yueyao, et al.
Published: (2025)
Causal Inference with Outcomes Truncated by Death and Missing Not at Random
by: Li, Wei, et al.
Published: (2024)
by: Li, Wei, et al.
Published: (2024)
Individualized Prediction Bands in Causal Inference with Continuous Treatments
by: Sampson, Max, et al.
Published: (2025)
by: Sampson, Max, et al.
Published: (2025)
Frequentist Inference for Semi-mechanistic Epidemic Models with Interventions
by: Bong, Heejong, et al.
Published: (2023)
by: Bong, Heejong, et al.
Published: (2023)
A Sensitivity Analysis Framework for Quantifying Confidence in Decisions in the Presence of Data Uncertainty
by: Wadekar, Adway S., et al.
Published: (2025)
by: Wadekar, Adway S., et al.
Published: (2025)
Augmented Doubly Robust Post-Imputation Inference for Proteomic Data
by: Moon, Haeun, et al.
Published: (2024)
by: Moon, Haeun, et al.
Published: (2024)
Inference on Survival Reliability with Type-I Censored Weibull data
by: Liu, Bowen, et al.
Published: (2026)
by: Liu, Bowen, et al.
Published: (2026)
Similar Items
-
A Bayesian Discrete Framework for Enhancing Decision-Making Processes in Clinical Trial Designs and Evaluations
by: Pramanik, Paramahansa, et al.
Published: (2026) -
GenAI Powered Dynamic Causal Inference with Unstructured Data
by: Nakamura, Kentaro, et al.
Published: (2026) -
Evaluating the Surrogate Index as a Decision-Making Tool Using 200 A/B Tests at Netflix
by: Zhang, Vickie, et al.
Published: (2023) -
Prior Elicitation for Generalised Linear Models and Extensions
by: Hosack, Geoffrey R.
Published: (2023) -
A Seamless Phase II/III Design with Dose Optimization for Oncology Drug Development
by: Li, Yuhan, et al.
Published: (2024)