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The stochastic proximal distance algorithm
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2024
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Haoyu Jiang
Jason Xu
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PDF
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Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis
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2024
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Noirrit Kiran Chandra
David B. Dunson
Jason Xu
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PDF
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A Bayesian approach for fitting semi-Markov mixture models of cancer
latency to individual-level data
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2024
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RaphaĂŤl Morsomme
Shannon T. Holloway
Marc D. Ryser
Jason Xu
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Stochastic EM algorithm for partially observed stochastic epidemics with individual heterogeneity
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2024
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Fan Bu
Allison E. Aiello
Alexander Volfovsky
Jason Xu
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PDF
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Detecting changes in the transmission rate of a stochastic epidemic model
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2024
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Jenny Huang
RaphaĂŤl Morsomme
David B. Dunson
Jason Xu
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PDF
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Inferring HIV transmission patterns from viral deep-sequence data via latent typed point processes.
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2024
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Fan Bu
Joseph Kagaayi
M. Kate Grabowski
Oliver Ratmann
Jason Xu
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Quasi-Newton Acceleration of EM and MM Algorithms via Broydenâs Method
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2023
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Medha Agarwal
Jason Xu
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PDF
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Fitting a stochastic model of intensive care occupancy to noisy hospitalization time series during the COVIDâ19 pandemic
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2023
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Achal Awasthi
Vladimir N. Minin
Jenny Huang
Daniel Chow
Jason Xu
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MM optimization: Proximal distance algorithms, path following, and trust regions
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2023
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Alfonso Landeros
Jason Xu
Kenneth Lange
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Fast Computation of Branching Process Transition Probabilities via ADMM
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2023
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Achal Awasthi
Jason Xu
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Inferring HIV Transmission Patterns from Viral Deep-Sequence Data via Latent Typed Point Processes
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2023
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Fan Bu
Joseph Kagaayi
Kate Grabowski
Oliver Ratmann
Jason Xu
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Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis
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2023
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Noirrit Kiran Chandra
David B. Dunson
Jason Xu
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Quasi-Newton Acceleration of EM and MM Algorithms via Broydenâs Method
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2023
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Medha Agarwal
Jason Xu
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Wi-Fi And Bluetooth Contact Tracing Without User Intervention
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2022
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Brosnan Yuen
Yifeng Bie
Duncan Cairns
Geoffrey Harper
Jason Xu
Charles B. Chang
Xiaodai Dong
Tao LĂź
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Wi-Fi And Bluetooth Contact Tracing Without User Intervention
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2022
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Brosnan Yuen
Yifeng Bie
Duncan Cairns
Geoffrey Harper
Jason Xu
Charles B. Chang
Xiaodai Dong
Tao Lu
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Wi-Fi And Bluetooth Contact Tracing Without User Intervention
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2022
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Brosnan Yuen
Yifeng Bie
Duncan Cairns
Geoffrey Harper
Jason Xu
Charles B. Chang
Xiaodai Dong
Tao LĂź
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PDF
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MITI minimum information guidelines for highly multiplexed tissue images
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2022
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Denis Schapiro
Clarence Yapp
Artem Sokolov
Sheila M. Reynolds
Chen Yuan
Damir Sudar
Yubin Xie
Jeremy Muhlich
Raquel Arias-Camison
Sarah Arena
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A proximal distance algorithm for likelihood-based sparse covariance estimation
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2022
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Jason Xu
Kenneth Lange
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A unified analysis of convex and non-convex lp-ball projection problems
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2022
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JoongâHo Won
Kenneth Lange
Jason Xu
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Quasi-Newton acceleration of EM and MM algorithms via Broyden$'$s method
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2022
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Medha Agarwal
Jason Xu
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Wi-Fi and Bluetooth Contact Tracing Without User Intervention
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2022
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Brosnan Yuen
Yifeng Bie
Duncan Cairns
Geoffrey Harper
Jason Xu
Charles B. Chang
Xiaodai Dong
Tao Lu
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Fitting a stochastic model of intensive care occupancy to noisy hospitalization time series during the COVID-19 pandemic
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2022
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Achal Awasthi
Vladimir N. Minin
Jenny Huang
Daniel Chow
Jason Xu
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Bregman Power k-Means for Clustering Exponential Family Data
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2022
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Adithya D Vellal
Saptarshi Chakraborty
Jason Xu
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Wi-Fi and Bluetooth Contact Tracing Without User Intervention
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2022
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Brosnan Yuen
Yifeng Bie
Duncan Cairns
Geoffrey Harper
Jason Xu
Charles B. Chang
Xiaodai Dong
Tao LĂź
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Exact Inference for Stochastic Epidemic Models via Uniformly Ergodic Block Sampling
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2022
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RaphaĂŤl Morsomme
Jason Xu
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Distance-to-Set Priors and Constrained Bayesian Inference
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2022
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Rick Presman
Jason Xu
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The Stochastic Proximal Distance Algorithm
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2022
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Haoyu Jiang
Jason Xu
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Detecting Changes in the Transmission Rate of a Stochastic Epidemic Model
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2022
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Jenny Huang
RaphaĂŤl Morsomme
David B. Dunson
Jason Xu
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PDF
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Computational tools for assessing gene therapy under branching process models of mutation
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2021
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Timothy C. Stutz
Janet S. Sinsheimer
Mary E. Sehl
Jason Xu
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PDF
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Computational tools for assessing gene therapy under branching process
models of mutation
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2021
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Timothy C Stutz
Janet S. Sinsheimer
Mary E. Sehl
Jason Xu
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PDF
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Uniform Concentration Bounds toward a Unified Framework for Robust
Clustering
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2021
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Debolina Paul
Saptarshi Chakraborty
Swagatam Das
Jason Xu
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PDF
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An examination of school reopening strategies during the SARS-CoV-2 pandemic
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2021
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Alfonso Landeros
Xiang Ji
Kenneth Lange
Timothy C. Stutz
Jason Xu
Mary E. Sehl
Janet S. Sinsheimer
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SARS-CoV-2 Infection in Health Care Personnel and Their Household Contacts at a Tertiary Academic Medical Center: Protocol for a Longitudinal Cohort Study
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2021
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Emily J. Ciccone
Paul N. Zivich
Evans K. Lodge
Deanna Zhu
Elle A. Law
Elyse Miller
Jasmine Taylor
Suemin Chung
Jason Xu
Alexander Volfovsky
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Community Detection in Weighted Multilayer Networks with Ambient Noise
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2021
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Mark He
Dylan DahâChuan Lu
Jason Xu
Rose Mary Xavier
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A Proximal Distance Algorithm for Likelihood-Based Sparse Covariance Estimation
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2021
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Jason Xu
Kenneth Lange
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Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
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2021
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Debolina Paul
Saptarshi Chakraborty
Swagatam Das
Jason Xu
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Likelihood-based inference for partially observed stochastic epidemics with individual heterogeneity
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2021
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Fan Bu
Allison E. Aiello
Alexander Volfovsky
Jason Xu
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+
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Computational tools for assessing gene therapy under branching process models of mutation
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2021
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Timothy C Stutz
Janet S. Sinsheimer
Mary E. Sehl
Jason Xu
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SARS-CoV-2 Infection in Health Care Personnel and Their Household Contacts at a Tertiary Academic Medical Center: Protocol for a Longitudinal Cohort Study (Preprint)
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2020
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Emily J. Ciccone
Paul N. Zivich
Evans K. Lodge
Deanna Zhu
Elle A. Law
Elyse Miller
Jasmine Taylor
Suemin Chung
Jason Xu
Alexander Volfovsky
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An examination of school reopening strategies during the SARS-CoV-2 pandemic
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2020
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Alfonso Landeros
Xiang Ji
Kenneth Lange
Timothy C. Stutz
Jason Xu
Mary E. Sehl
Janet S. Sinsheimer
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Biconvex Clustering
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2020
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Saptarshi Chakraborty
Jason Xu
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PDF
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Likelihood-Based Inference for Partially Observed Epidemics on Dynamic Networks
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2020
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Fan Bu
Allison E. Aiello
Jason Xu
Alexander Volfovsky
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A Scalable Framework for Sparse Clustering Without Shrinkage
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2020
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Zhiyue Zhang
Kenneth Lange
Jason Xu
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Entropy Regularized Power k-Means Clustering
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2020
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Saptarshi Chakraborty
Debolina Paul
Swagatam Das
Jason Xu
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Simple and Scalable Sparse k-means Clustering via Feature Ranking
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2020
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Zhiyue Zhang
Kenneth Lange
Jason Xu
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Kernel k-Means, By All Means: Algorithms and Strong Consistency
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2020
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Debolina Paul
Saptarshi Chakraborty
Swagatam Das
Jason Xu
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Likelihood-Based Inference for Partially Observed Epidemics on Dynamic Networks
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2020
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Fan Bu
Allison E. Aiello
Jason Xu
Alexander Volfovsky
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Biconvex Clustering
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2020
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Saptarshi Chakraborty
Jason Xu
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Statistical inference for partially observed branching processes with application to cell lineage tracking of in vivo hematopoiesis
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2019
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Jason Xu
Samson Koelle
Peter Guttorp
Chuanfeng Wu
Cynthia E. Dunbar
Janis L. Abkowitz
Vladimir N. Minin
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Likelihood-based Inference for Partially Observed Epidemics on Dynamic Networks
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2019
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Fan Bu
Allison E. Aiello
Jason Xu
Alexander Volfovsky
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A majorizationâminimization algorithm for split feasibility problems
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2018
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Jason Xu
C. Eric
Meng Yang
Kenneth Lange
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Combination of Hyperband and Bayesian Optimization for Hyperparameter Optimization in Deep Learning
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2018
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Jiazhuo Wang
Jason Xu
Xuejun Wang
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Structural Risk Minimization for $C^{1,1}(\mathbb{R}^d)$ Regression
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2018
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Adam Gustafson
Matthew Hirn
Kitty Mohammed
Hariharan Narayanan
Jason Xu
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Generalized Linear Model Regression under Distance-to-set Penalties
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2017
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Jason Xu
C. Eric
Kenneth Lange
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PDF
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Birth/birth-death processes and their computable transition probabilities with biological applications
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2017
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Lam Si Tung Ho
Jason Xu
Forrest W. Crawford
Vladimir N. Minin
Marc A. Suchard
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Generalized Linear Model Regression under Distance-to-set Penalties
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2017
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Jason Xu
C. Eric
Kenneth Lange
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Likelihood-Based Inference for Partially Observed Multi-Type Markov Branching Processes
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2016
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Jason Xu
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Birth(death)/birth-death processes and their computable transition probabilities with statistical applications
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2016
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Lam Si Tung Ho
Jason Xu
Forrest W. Crawford
Vladimir N. Minin
Marc A. Suchard
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Birth/birth-death processes and their computable transition probabilities with biological applications
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2016
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Lam Si Tung Ho
Jason Xu
Forrest W. Crawford
Vladimir N. Minin
Marc A. Suchard
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An MM Algorithm for Split Feasibility Problems
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2016
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Jason Xu
C. Eric
Meng Yang
Kenneth Lange
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Statistical inference in partially observed branching processes with application to cell lineage tracking of in vivo hematopoiesis
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2016
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Jason Xu
Samson Koelle
Peter Guttorp
Chuanfeng Wu
Cynthia E. Dunbar
Janis L. Abkowitz
Vladimir N. Minin
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Birth/birth-death processes and their computable transition probabilities with biological applications
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2016
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Lam Tung Ho
Jason Xu
Forrest W. Crawford
Vladimir N. Minin
Marc A. Suchard
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PDF
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Likelihood-Based Inference for Discretely Observed BirthâDeath-Shift Processes, with Applications to Evolution of Mobile Genetic Elements
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2015
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Jason Xu
Peter Guttorp
Midori KatoâMaeda
Vladimir N. Minin
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Efficient Transition Probability Computation for Continuous-Time Branching Processes via Compressed Sensing
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2015
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Jason Xu
Vladimir N. Minin
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Efficient Transition Probability Computation for Continuous-Time Branching Processes via Compressed Sensing
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2015
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Jason Xu
Vladimir N. Minin
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Stochastic Variational Inference for Hidden Markov Models
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2014
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Nicholas J. Foti
Jason Xu
Dillon Laird
Emily B. Fox
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Likelihood-Based Inference for Discretely Observed Birth-Death-Shift Processes, with Applications to Evolution of Mobile Genetic Elements
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2014
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Jason Xu
Peter Guttorp
Midori KatoâMaeda
Vladimir N. Minin
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Stochastic Variational Inference for Hidden Markov Models
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2014
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Nicholas J. Foti
Jason Xu
Dillon Laird
Emily B. Fox
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PDF
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Bounds on the artificial phase transition for perfect simulation of hard core Gibbs processes
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2012
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Mark Huber
Elise Villella
Daniel Rozenfeld
Jason Xu
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Bounds on the artificial phase transition for perfect simulation of repulsive point processes
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2010
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Mark Huber
Elise McCall
Daniel Rozenfeld
Jason Xu
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