Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America
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Publication Venue For
- Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models. 31:138-150. 2022
- Bayesian Computation in Dynamic Latent Factor Models. 31:651-665. 2022
- Mixture of Linear Models Co-supervised by Deep Neural Networks. 31:1303-1317. 2022
- Two-Dimensional Functional Principal Component Analysis for Image Feature Extraction. 31:1127-1140. 2022
- Monte Carlo Simulation on the Stiefel Manifold via Polar Expansion. 30:622-631. 2021
- Regression Modeling and File Matching Using Possibly Erroneous Matching Variables. 27:728-738. 2018
- Analysis of Distributional Variation Through Graphical Multi-Scale Beta-Binomial Models. 27:529-541. 2018
- Bayesian Conditional Density Filtering. 27:657-672. 2018
- Approximate Bayesian Computation and Model Assessment for Repulsive Spatial Point Processes. 26:646-657. 2017
- Monitoring Joint Convergence of MCMC Samplers. 26:558-568. 2017
- Online Variational Bayes Inference for High-Dimensional Correlated Data. 25:426-444. 2016
- Bayesian Estimation of Discrete Multivariate Latent Structure Models With Structural Zeros. 23:1061-1079. 2014
- Multiple Imputation by Ordered Monotone Blocks With Application to the Anthrax Vaccine Research Program. 23:877-892. 2014
- Generalized Dynamic Factor Models for Mixed-Measurement Time Series.. 23:169-191. 2014
- Adaptive Markov chain Monte Carlo for Bayesian variable selection. 22:708-728. 2013
- A sparse structured shrinkage estimator for nonparametric varying-coefficient model with an application in genomics. 21:110-133. 2012
- A Confidence Region Approach to Tuning for Variable Selection. 21:295-314. 2012
- Bayesian adaptive sampling for variable selection and model averaging. 20:80-101. 2011
- Adaptive Mixture Modelling Metropolis Methods for Bayesian Analysis of Non-linear State-Space Models.. 19:260-280. 2010
- Understanding GPU Programming for Statistical Computation: Studies in Massively Parallel Massive Mixtures.. 19:419-438. 2010
- Default Prior Distributions and Efficient Posterior Computation in Bayesian Factor Analysis.. 18:306-320. 2009
- Towards a faster implementation of density estimation with logistic gaussian process priors. 16:633-655. 2007
- Bayesian CART: Prior specification and posterior simulation. 16:44-66. 2007
- Secure regression on distributed databases. 14:263-279. 2005
- A computational approach for full nonparametric Bayesian inference under Dirichlet process mixture models. 11:289-305. 2002
- An analysis of the role of positivity and mixture model constraints in poisson deconvolution problems. 10:673-696. 2001
- Differentially Private Significance Tests for Regression Coefficients 2019