Search Results - "Duan, Leo"

Transport Monte Carlo: High-Accuracy Posterior Approximation via Random Transport by Duan, Leo L.

“…In Bayesian applications, there is a huge interest in rapid and accurate estimation of the posterior distribution, particularly for high dimensional or…”
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Spectral Clustering, Bayesian Spanning Forest, and Forest Process by Duan, Leo L., Roy, Arkaprava

“…Spectral clustering views the similarity matrix as a weighted graph, and partitions the data by minimizing a graph-cut loss. Since it minimizes the…”
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How to make more out of community data? A conceptual framework and its implementation as models and software by Ovaskainen, Otso, Tikhonov, Gleb, Norberg, Anna, Guillaume Blanchet, F., Duan, Leo, Dunson, David, Roslin, Tomas, Abrego, Nerea, Chave, Jerome

“…Community ecology aims to understand what factors determine the assembly and dynamics of species assemblages at different spatiotemporal scales. To facilitate…”
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Bayesian Inference Using the Proximal Mapping: Uncertainty Quantification Under Varying Dimensionality by Xu, Maoran, Zhou, Hua, Hu, Yujie, Duan, Leo L.

“…In statistical applications, it is common to encounter parameters supported on a varying or unknown dimensional space. Examples include the fused lasso…”
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Returners and explorers dichotomy in the face of natural hazards by He, Zeyu, Hu, Yujie, Duan, Leo L., Michailidis, George

“…Understanding human mobility patterns amid natural hazards is crucial for enhancing urban emergency responses and rescue operations. Existing research on human…”
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Bayesian constraint relaxation by Duan, Leo L, Young, Alexander L, Nishimura, Akihiko, Dunson, David B

“…Summary Prior information often takes the form of parameter constraints. Bayesian methods include such information through prior distributions having…”
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A semiparametric approach to estimate rapid lung function decline in cystic fibrosis by Szczesniak, Rhonda D., PhD, McPhail, Gary L., MD, Duan, Leo L., MS, Macaluso, Maurizio, MD, DrPH, Amin, Raouf S., MD, Clancy, John P., MD

“…Abstract Purpose Detecting the onset of rapid lung function decline is important to reduce mortality rates in cystic fibrosis (CF) and other lung diseases. The…”
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Longitudinal Patterns of Glycemic Control and Blood Pressure in Pregnant Women with Type 1 Diabetes Mellitus: Phenotypes from Functional Data Analysis by Szczesniak, Rhonda D, Li, Dan, Duan, Leo L, Altaye, Mekibib, Miodovnik, Menachem, Khoury, Jane C

“…To identify phenotypes of type 1 diabetes control and associations with maternal/neonatal characteristics based on blood pressure (BP), glucose, and insulin…”
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Data driven decision making to characterize clinical personas of parents of children with cystic fibrosis: a mixed methods study by Szczesniak, Rhonda D, Pestian, Teresa, Duan, Leo L, Li, Dan, Stamper, Sophia, Ferrara, Brycen, Kramer, Elizabeth, Clancy, John P, Grossoehme, Daniel

“…Beginning at a young age, children with cystic fibrosis (CF) embark on demanding care regimens that pose challenges to parents. We examined the extent to which…”
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Bayesian Ensemble Trees (BET) for Clustering and Prediction in Heterogeneous Data by Duan, Leo L., Clancy, John P., Szczesniak, Rhonda D.

“…We propose a novel "tree-averaging" model that uses the ensemble of classification and regression trees (CART). Each constituent tree is estimated with a…”
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The Effects of Medication Alerts on Prescriber Response in a Pediatric Hospital by Dexheimer, Judith W, Kirkendall, Eric S., Kouril, Michal, Hagedorn, Philip A., Minich, Thomas, Duan, Leo L., Mahdi, Monifa, Szczesniak, Rhonda, Spooner, S. Andrew

“…Summary Objective: More than 70% of hospitals in the United States have electronic health records (EHRs). Clinical decision support (CDS) presents clinicians…”
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Concentration of fractional excretion of nitric oxide (FENO): A potential airway biomarker of restored CFTR function by Kotha, Kavitha, Szczesniak, Rhonda D, Naren, Anjaparavanda P, Fenchel, Matthew C, Duan, Leo L, McPhail, Gary L, Clancy, John P

“…Abstract Background Lower airway biomarkers of restored cystic fibrosis transmembrane conductance regulator (CFTR) function are limited. We hypothesized that…”
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Joint hierarchical Gaussian process model with application to personalized prediction in medical monitoring by Duan, Leo L., Wang, Xia, Clancy, John P., Szczesniak, Rhonda D.

“…A two‐level Gaussian process (GP) joint model is proposed to improve personalized prediction of medical monitoring data. The proposed model is applied to…”
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Bayesian inference with the l 1-ball prior: solving combinatorial problems with exact zeros by Xu, Maoran, Duan, Leo L

“…Abstract The l1-regularisation is very popular in high-dimensional statistics—it changes a combinatorial problem of choosing which subset of the parameter is…”
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Graph-accelerated Markov Chain Monte Carlo using Approximate Samples by Duan, Leo L, Bhattacharya, Anirban

“…It has become increasingly easy nowadays to collect approximate posterior samples via fast algorithms such as variational Bayes, but concerns exist about the…”
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Gibbs Sampling using Anti-correlation Gaussian Data Augmentation, with Applications to L1-ball-type Models by Zheng, Yu, Duan, Leo L

“…L1-ball-type priors are a recent generalization of the spike-and-slab priors. By transforming a continuous precursor distribution to the L1-ball boundary, it…”
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Consistency of Graphical Model-based Clustering: Robust Clustering using Bayesian Spanning Forest by Zheng, Yu, Duan, Leo L, Roy, Arkaprava

“…For statistical inference on clustering, the mixture model-based framework is very popular. On the one hand, the model-based framework is convenient for…”
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Spectral Clustering, Bayesian Spanning Forest, and Forest Process by Duan, Leo L, Roy, Arkaprava

“…Spectral clustering views the similarity matrix as a weighted graph, and partitions the data by minimizing a graph-cut loss. Since it minimizes the…”
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Transport Monte Carlo: High-Accuracy Posterior Approximation via Random Transport by Duan, Leo L

“…In Bayesian applications, there is a huge interest in rapid and accurate estimation of the posterior distribution, particularly for high dimensional or…”
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Exact Sampling of Spanning Trees via Fast-forwarded Random Walks by Tam, Edric, Dunson, David B, Duan, Leo L

“…Tree graphs are routinely used in statistics. When estimating a Bayesian model with a tree component, sampling the posterior remains a core difficulty…”
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