Latest Research in Computation

20 research papers · 0.1 average citations · 2026 median publication year

Top Research Topics in Computation

Highest-Cited Papers

  1. Recommendations for visual predictive checks in Bayesian workflow (1 citations)
  2. Oracle high-dimensional $M$-estimation using smooth reparameterization for sparsity
  3. Beyond point estimation: explaining the posterior in Bayesian cluster analysis
  4. Principal component error in high-dimensional factor models
  5. Marginal maximum likelihood estimation and asymptotic theory for latent variable models in high dimensions
  6. A Functional SVD Framework for Regularized Multivariate Functional PCA with Dual Penalization
  7. Component-weighted sparse group LASSO for finite mixture regression models
  8. Inference as risk identification
  9. Design-Assisted Regression
  10. Scalable Krylov Subspace Methods for Generalized Mixed-Effects Models with Crossed Random Effects
  11. Regularized Estimation and Feature Selection in Mixtures of Generalized Linear Experts
  12. Parsimonious Ultrametric Manly Mixture Models
  13. Shrinkage invalidates the Hosmer-Lemeshow test: goodness of fit for penalized logistic regression, with an application to glaucoma diagnosis
  14. Density Evolution: A Multiscale View of Density Estimation
  15. A novel model-based biclustering for ordinal data via a URV approach
  16. Canonical Correlation Analysis as Reduced Rank Regression in High Dimensions
  17. CliPS -- How to identify cluster distributions in Bayesian mixture models
  18. Groupwise Predictor Envelope Models for Multivariate Linear Regression
  19. Favourable Missingness in Semi-Supervised Classification for Exponential Mixture Models
  20. Posterior Summarization for Variable Selection in Bayesian Tree Ensembles
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L3 Region - - 2026 Sep Q3

Computation

20 papers
0.1 avg cites

Top Topics (7)

Methodology11
Statistics Theory3
Computation2
Explainable Artificial Intelligence (XAI)1
Machine Learning1
Advanced Bandit Algorithms Research1
Bayesian Methods and Mixture Models1

Top Publications (20)

1.Recommendations for visual predictive checks in Bayesian workflow1c2.Oracle high-dimensional $M$-estimation using smooth reparameterization for sparsity3.Beyond point estimation: explaining the posterior in Bayesian cluster analysis4.Principal component error in high-dimensional factor models5.Marginal maximum likelihood estimation and asymptotic theory for latent variable models in high dimensions6.A Functional SVD Framework for Regularized Multivariate Functional PCA with Dual Penalization7.Component-weighted sparse group LASSO for finite mixture regression models8.Inference as risk identification9.Design-Assisted Regression10.Scalable Krylov Subspace Methods for Generalized Mixed-Effects Models with Crossed Random Effects11.Regularized Estimation and Feature Selection in Mixtures of Generalized Linear Experts12.Parsimonious Ultrametric Manly Mixture Models13.Shrinkage invalidates the Hosmer-Lemeshow test: goodness of fit for penalized logistic regression, with an application to glaucoma diagnosis14.Density Evolution: A Multiscale View of Density Estimation15.A novel model-based biclustering for ordinal data via a URV approach16.Canonical Correlation Analysis as Reduced Rank Regression in High Dimensions17.CliPS -- How to identify cluster distributions in Bayesian mixture models18.Groupwise Predictor Envelope Models for Multivariate Linear Regression19.Favourable Missingness in Semi-Supervised Classification for Exponential Mixture Models20.Posterior Summarization for Variable Selection in Bayesian Tree Ensembles
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