Fitting sparse high-dimensional varying-coefficient models with Bayesian regression tree ensembles

Ähnliche Einträge

• High-dimensional regression with outcomes of mixed-type using the multivariate spike-and-slab LASSO
  von: Ghosh, Soham, et al.
  Veröffentlicht: (2025)
• Detection and inference of changes in high-dimensional linear regression with non-sparse structures
  von: Cho, Haeran, et al.
  Veröffentlicht: (2024)
• VCBART: Bayesian trees for varying coefficients
  von: Deshpande, Sameer K., et al.
  Veröffentlicht: (2020)
• Empirical Bayes inference in sparse high-dimensional generalized linear models
  von: Tang, Yiqi, et al.
  Veröffentlicht: (2023)
• A generalized Bayesian approach for high-dimensional robust regression with serially correlated errors and predictors
  von: Chakraborty, Saptarshi, et al.
  Veröffentlicht: (2024)