3.1k citations · 3.8k across the 32 of their papers we have counts for
34 papers
A New Measure of Dependence Between Continuous and Multinomial Random Variables
Lu Yang, Galin L. Jones
A novel measure of dependence between a continuous random variable and a multinomial random variable is introduced. The proposed measure is based on the Hellinger distance between…
AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science
An Luo, Jin Du, Xun Xian +12
Data science plays a critical role in transforming complex data into actionable insights across numerous domains. Recent developments in large language models (LLMs) and artificial…
A Bayesian Generalized Bridge Regression Approach to Covariance Estimation in the Presence of Covariates
Christina Zhao, Ding Xiang, Galin L. Jones +1
A hierarchical Bayesian approach that permits simultaneous inference for the regression coefficient matrix and the error precision (inverse covariance) matrix in the multivariate l…
Explicit Constraints on the Geometric Rate of Convergence of Random Walk Metropolis-Hastings
Riddhiman Bhattacharya, Galin L. Jones
Convergence rate analyses of random walk Metropolis-Hastings Markov chains on general state spaces have largely focused on establishing sufficient conditions for geometric ergodici…
Convergence Analysis of Data Augmentation Algorithms for Bayesian Robust Multivariate Linear Regression with Incomplete Data
Haoxiang Li, Qian Qin, Galin L. Jones
Gaussian mixtures are commonly used for modeling heavy-tailed error distributions in robust linear regression. Combining the likelihood of a multivariate robust linear regression m…
Lower bounds on the rate of convergence for accept-reject-based Markov chains in Wasserstein and total variation distances
Austin Brown, Galin L. Jones
To avoid poor empirical performance in Metropolis-Hastings and other accept-reject-based algorithms practitioners often tune them by trial and error. Lower bounds on the convergenc…