Copertina

Scalable Spatial Stream Network (S3N) Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kunke, Jessica P., Olden, Julian D., McCormick, Tyler H.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology Computation
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Comparing the Robustness of Simple Network Scale-Up Method (NSUM) Estimators
di: Kunke, Jessica P., et al.
Pubblicazione: (2023)

A Hybrid NUTS-Gibbs Sampler with State Space Marginalization for Estimation of Dynamic Structural Equation Models with Binomial Outcomes
di: Sørensen, Øystein, et al.
Pubblicazione: (2026)

Spatially Robust Inference with Predicted and Missing at Random Labels
di: Salerno, Stephen, et al.
Pubblicazione: (2026)

Asymptotically Normal Estimation of Local Latent Network Curvature
di: Wilkins-Reeves, Steven, et al.
Pubblicazione: (2022)

Data-adaptive exposure thresholds for the Horvitz-Thompson estimator of the Average Treatment Effect in experiments with network interference
di: Thiyageswaran, Vydhourie, et al.
Pubblicazione: (2024)

Robustly estimating heterogeneity in factorial data using Rashomon Partitions
di: Venkateswaran, Aparajithan, et al.
Pubblicazione: (2024)

Estimating and Correcting Degree Ratio Bias in the Network Scale-up Method
di: Laga, Ian, et al.
Pubblicazione: (2023)

Estimating spillovers using imprecisely measured networks
di: Hardy, Morgan, et al.
Pubblicazione: (2019)

Some models are useful, but for how long?: A decision theoretic approach to choosing when to refit large-scale prediction models
di: Hoffman, Kentaro, et al.
Pubblicazione: (2024)

Spectral goodness-of-fit tests for complete and partial network data
di: Lubold, Shane, et al.
Pubblicazione: (2021)

ipd: An R Package for Conducting Inference on Predicted Data
di: Salerno, Stephen, et al.
Pubblicazione: (2024)

A Unified Framework for Inference with General Missingness Patterns and Machine Learning Imputation
di: Chen, Xingran, et al.
Pubblicazione: (2025)

Dempster-Shafer P-values: Thoughts on an Alternative Approach for Multinomial Inference
di: Hoffman, Kentaro, et al.
Pubblicazione: (2024)

Model-Based Inference and Experimental Design for Interference Using Partial Network Data
di: Reeves, Steven Wilkins, et al.
Pubblicazione: (2024)

General Covariance-Based Conditions for Central Limit Theorems with Dependent Triangular Arrays
di: Chandrasekhar, Arun G., et al.
Pubblicazione: (2023)

Do We Really Even Need Data?
di: Hoffman, Kentaro, et al.
Pubblicazione: (2024)

A Moment-Based Generalization to Post-Prediction Inference
di: Salerno, Stephen, et al.
Pubblicazione: (2025)

What's the Weight? Estimating Controlled Outcome Differences in Complex Surveys for Health Disparities Research
di: Salerno, Stephen, et al.
Pubblicazione: (2024)

Fast and Scalable Inference for Spatial Extreme Value Models
di: Chen, Meixi, et al.
Pubblicazione: (2021)

Non-robustness of diffusion estimates on networks with measurement error
di: Chandrasekhar, Arun G., et al.
Pubblicazione: (2024)

Scalable Asynchronous Federated Modeling for Spatial Data
di: Shi, Jianwei, et al.
Pubblicazione: (2025)

REX-SUB: A Scalable Subsampling Strategy for Modeling Large Spatial Datasets
di: Rios, Nicholas, et al.
Pubblicazione: (2026)

Computationally Scalable Bayesian SPDE Modeling for Censored Spatial Responses
di: Sahoo, Indranil, et al.
Pubblicazione: (2024)

Gridding and Parameter Expansion for Scalable Latent Gaussian Models of Spatial Multivariate Data
di: Peruzzi, Michele, et al.
Pubblicazione: (2021)

Bayesian Sociality Models: A Scalable and Flexible Alternative for Network Analysis
di: Sosa, Juan, et al.
Pubblicazione: (2025)

A Scalable Variational Bayes Approach for Fitting Non-Conjugate Spatial Generalized Linear Mixed Models via Basis Expansions
di: Lee, Jin Hyung, et al.
Pubblicazione: (2025)

Spatial Hyperspheric Models for Compositional Data
di: Schwob, Michael R., et al.
Pubblicazione: (2024)

Scalable Subset Selection in Linear Mixed Models
di: Thompson, Ryan, et al.
Pubblicazione: (2025)

An Online Algorithm for Bayesian Variable Selection in Logistic Regression Models With Streaming Data
di: Ghosal, Payel, et al.
Pubblicazione: (2025)

Scalable Durational Event Models: Application to Physical and Digital Interactions
di: Fritz, Cornelius, et al.
Pubblicazione: (2025)

Robust regularized covariance matrix estimation: well-posedness and convergent algorithm
di: Yi, Mengxi, et al.
Pubblicazione: (2026)

Scalable couplings for the random walk Metropolis algorithm
di: Papp, Tamás P., et al.
Pubblicazione: (2022)

On the Choice of Model Space Priors and Multiplicity Control in Bayesian Variable Selection: An Application to Streaming Logistic Regression
di: Ghosh, Joyee
Pubblicazione: (2025)

Consistent and Scalable Composite Likelihood Estimation of Probit Models with Crossed Random Effects
di: Bellio, Ruggero, et al.
Pubblicazione: (2023)

Incorporating Subsampling into Bayesian Models for High-Dimensional Spatial Data
di: Saha, Sudipto, et al.
Pubblicazione: (2023)

Semi-Implicit Approaches for Large-Scale Bayesian Spatial Interpolation
di: Garneau, Sébastien, et al.
Pubblicazione: (2025)

Scalable Gaussian Process Inference with Stan
di: Hoffmann, Till, et al.
Pubblicazione: (2023)

sfislands: An R Package for Accommodating Islands and Disjoint Zones in Areal Spatial Modelling
di: Horan, Kevin, et al.
Pubblicazione: (2024)

LAVA: Language Model Assisted Verbal Autopsy for Cause-of-Death Determination
di: Chen, Yiqun T., et al.
Pubblicazione: (2025)

A Delayed Acceptance Auxiliary Variable MCMC for Spatial Models with Intractable Likelihood Function
di: Lee, Jong Hyeon, et al.
Pubblicazione: (2025)