Lizhen Lin
Lizhen Lin
Department of Applied and Computational Mathematics and Statistics, The University of Notre Dame
Verified email at - Homepage
Cited by
Cited by
Robust and scalable Bayes via a median of subset posterior measures
S Minsker, S Srivastava, L Lin, DB Dunson
The Journal of Machine Learning Research 18 (1), 4488-4527, 2017
Scalable and robust Bayesian inference via the median posterior
S Minsker, S Srivastava, L Lin, D Dunson
International conference on machine learning, 1656-1664, 2014
Bayesian monotone regression using Gaussian process projection
L Lin, DB Dunson
Biometrika 101 (2), 303-317, 2014
Dysregulation of prefrontal cortex-mediated slow-evolving limbic dynamics drives stress-induced emotional pathology
R Hultman, SD Mague, Q Li, BM Katz, N Michel, L Lin, J Wang, LK David, ...
Neuron 91 (2), 439-452, 2016
Omnibus CLTs for Fréchet means and nonparametric inference on non-Euclidean spaces
R Bhattacharya, L Lin
Proceedings of the American Mathematical Society 145 (1), 413-428, 2017
Extrinsic local regression on manifold-valued data
L Lin, BS Thomas, H Zhu, DB Dunson
Journal of the American Statistical Association 112 (519), 1261-1273, 2017
On clustering network-valued data
SS Mukherjee, P Sarkar, L Lin
NIPS’ 17, Proceedings of the 31st International Conference on Neural …, 2017
A course in mathematical statistics and large sample theory
R Bhattacharya, L Lin, V Patrangenaru
Springer Text in Statistics, Springer, 2016
Benchmark dose analysis via nonparametric regression modeling
WW Piegorsch, H Xiong, RN Bhattacharya, L Lin
Risk Analysis 34 (1), 135-151, 2014
An adaptive nonparametric method in benchmark analysis for bioassay and environmental studies
R Bhattacharya, L Lin
Statistics & probability letters 80 (23-24), 1947-1953, 2010
Nonparametric benchmark analysis in risk assessment: a comparative study by simulation and data analysis
R Bhattacharya, L Lin
Sankhya B 73 (1), 144-163, 2011
Averages of unlabeled networks: Geometric characterization and asymptotic behavior
E Kolaczyk, L Lin, S Rosenberg, J Xu, J Walters
Annals of Statistics 48 (1), 514-538, 2020
Extrinsic Gaussian processes for regression and classification on manifolds
L Lin, N Mu, P Cheung, D Dunson
Bayesian Analysis 14 (3), 887-906, 2019
Change-point detection in dynamic networks via graphon estimation
Z Zhao, L Chen, L Lin
arXiv preprint arXiv:1908.01823, 2019
Data augmentation for models based on rejection sampling
V Rao, L Lin, DB Dunson
Biometrika 103 (2), 319-335, 2016
Intrinsic Gaussian processes on complex constrained domains
M Niu, P Cheung, L Lin, Z Dai, N Lawrence, D Dunson
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2019
Nonparametric estimation of benchmark doses in environmental risk assessment
WW Piegorsch, H Xiong, RN Bhattacharya, L Lin
Environmetrics 23 (8), 717-728, 2012
Minimax Posterior Convergence Rates and Model Selection Consistency in High-dimensional DAG Models based on Sparse Cholesky Factors
K Lee, J Lee, L Lin
Annals of Statistics 47 (No. 6), 3413-3437, 2019
Rat intersubjective decisions are encoded by frequency‐specific oscillatory contexts
J Schaich Borg, S Srivastava, L Lin, J Heffner, D Dunson, K Dzirasa, ...
Brain and behavior 7 (6), e00710, 2017
Recent progress in the nonparametric estimation of monotone curves—With applications to bioassay and environmental risk assessment
R Bhattacharya, L Lin
Computational statistics & data analysis 63, 63-80, 2013
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