scientific article; zbMATH DE number 7370554
From MaRDI portal
Publication:4998918
Huiyan Sang, Zhao Tang Luo, Bani. K. Mallick
Publication date: 9 July 2021
Full work available at URL: https://jmlr.csail.mit.edu/papers/v22/20-136.html
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
varying coefficient modelsreversible jump Markov chain Monte Carlotree-based methodsposterior concentrationBayesian high dimensional regression
Related Items (5)
Bayesian clustering of spatial functional data with application to a human mobility study during COVID-19 ⋮ Handling categorical features with many levels using a product partition model ⋮ Spatial heterogeneity automatic detection and estimation ⋮ Spatially clustered varying coefficient model ⋮ Sparse spatially clustered coefficient model via adaptive regularization
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- BART: Bayesian additive regression trees
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Bayesian variable selection regression for genome-wide association studies and other large-scale problems
- Understanding predictive information criteria for Bayesian models
- On the computational complexity of high-dimensional Bayesian variable selection
- Spatial product partition models
- Penalized maximum likelihood estimation and variable selection in geostatistics
- Fast model-fitting of Bayesian variable selection regression using the iterative complex factorization algorithm
- A strong law for the longest edge of the minimal spanning tree
- Adaptive estimation of a quadratic functional by model selection.
- Bayesian fusion estimation via \(t\) shrinkage
- Posterior concentration for Bayesian regression trees and forests
- Posterior consistency in linear models under shrinkage priors
- Generalized Scan Statistics for Disease Surveillance
- Bayesian Treed Gaussian Process Models With an Application to Computer Modeling
- Bayesian Partitioning for Estimating Disease Risk
- Two algorithms for constructing a Delaunay triangulation
- Computing Dirichlet Tessellations in the Plane
- A Bayesian CART algorithm
- A spatial scan statistic
- Spatial Modeling With Spatially Varying Coefficient Processes
- Atmospheric and Oceanic Fluid Dynamics
- Bayesian Regression Tree Ensembles that Adapt to Smoothness and Sparsity
- Bayesian Detection of Clusters and Discontinuities in Disease Maps
- Bayesian Detection and Modeling of Spatial Disease Clustering
- Spatial regression and estimation of disease risks: A clustering‐based approach
- Spatial autoregressive partially linear varying coefficient models
- Dynamic Shrinkage Processes
- A conditional density estimation partition model using logistic Gaussian processes
- Spatial Homogeneity Pursuit of Regression Coefficients for Large Datasets
- Bayesian Analysis of Binary and Polychotomous Response Data
- Spatial scan statistics for detection of multiple clusters with arbitrary shapes
- Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables
- Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters
- Analyzing Nonstationary Spatial Data Using Piecewise Gaussian Processes
- Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing
This page was built for publication:
