Eric D. Kolaczyk

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All published works

Action	Title	Year	Authors
+ PDF Chat	Stochastic gradient descent-based inference for dynamic network models with attractors	2025	Hancong Pan Xiaojing Zhu Cantay Caliskan Dino Christenson Konstantinos Spiliopoulos D. Walker Eric D. Kolaczyk
+	Differentially Private Linear Regression With Linked Data	2024	Shurong Lin Elliot Paquette Eric D. Kolaczyk
+ PDF Chat	Autoregressive Networks with Dependent Edges	2024	Jinyuan Chang Fang Qin Eric D. Kolaczyk Peter W. MacDonald Qiwei Yao
+	Edge differentially private estimation in the β-model via jittering and method of moments	2024	Jinyuan Chang Qiao Hu Eric D. Kolaczyk Qiwei Yao Fengting Yi
+ PDF Chat	Stochastic gradient descent-based inference for dynamic network models with attractors	2024	Hancong Pan Xiaojing Zhu Cantay Caliskan Dino Christenson Konstantinos Spiliopoulos D. Walker Eric D. Kolaczyk
+ PDF Chat	Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome	2023	Nathaniel Josephs Lizhen Lin Steven Rosenberg Eric D. Kolaczyk
+	Differentially Private Confidence Intervals for Proportions under Stratified Random Sampling	2023	Shurong Lin Mark Bun Marco Gaboardi Eric D. Kolaczyk Adam G. G. Smith
+	Differentially Private Linear Regression with Linked Data	2023	Shurong Lin Elliot Paquette Eric D. Kolaczyk
+	Estimation of the Branching Factor in Noisy Networks	2022	Wenrui Li Daniel L. Sussman Eric D. Kolaczyk
+ PDF Chat	Comment on “Double Your Variance, Dirtify Your Bayes, Devour Your Pufferfish, and Draw Your Kidstogram,” by Xiao-Li Meng	2022	Eric D. Kolaczyk
+ PDF Chat	Estimation of heterogeneous instantaneous reproduction numbers with application to characterize SARS-CoV-2 transmission in Massachusetts counties	2022	Zhenwei Zhou Eric D. Kolaczyk Robin N. Thompson Laura F. White
+	Estimation of local time-varying reproduction numbers in noisy surveillance data	2022	Wenrui Li Katia Bulekova Brian Gregor Laura F. White Eric D. Kolaczyk
+	A Spectral-Based Framework for Hypothesis Testing in Populations of Networks	2022	Li Chen Nathaniel Josephs Lizhen Lin Jie Zhou Eric D. Kolaczyk
+	Projecting Quarantine Utilization During a Pandemic	2022	Wenrui Li Eric D. Kolaczyk Laura F. White
+	Quantifying Uncertainty for Temporal Motif Estimation in Graph Streams under Sampling	2022	Xiaojing Zhu Eric D. Kolaczyk
+	Estimation of heterogeneous instantaneous reproduction numbers with application to characterize SARS-CoV-2 transmission in Massachusetts counties	2021	Zhenwei Zhou Eric D. Kolaczyk Robin N. Thompson Laura F. White
+ PDF Chat	Network Recovery from Unlabeled Noisy Samples	2021	Nathaniel Josephs Wenrui Li Eric D. Kolaczyk
+	Disentangling positive and negative partisanship in affective polarization using a coevolving latent space network with attractors model.	2021	Xiaojing Zhu Cantay Caliskan Dino Christenson Konstantinos Spiliopoulos D. Walker Eric D. Kolaczyk
+	Disentangling the positive partisanship from the negative in affective polarization using a coevolving latent space network with attractors (CLSNA) model	2021	Xiaojing Zhu Cantay Caliskan Dino Christenson Konstantinos Spiliopoulos D. Walker Eric D. Kolaczyk
+ PDF Chat	Dynamic Networks with Multi-scale Temporal Structure	2021	Xinyu Kang Apratim Ganguly Eric D. Kolaczyk
+	Assessment of a COVID-19 Control Plan on an Urban University Campus During a Second Wave of the Pandemic	2021	Davidson H. Hamer Laura F. White Helen E. Jenkins Christopher Gill Hannah E. Landsberg Catherine M. Klapperich Katia Bulekova Judy Platt Linette Decarie Wayne Gilmore
+	Network Recovery from Unlabeled Noisy Samples	2021	Nathaniel Josephs Wenrui Li Eric D. Kolaczyk
+ PDF Chat	Estimation of local time-varying reproduction numbers in noisy surveillance data	2021	Wenrui Li Katia Bulekova Brian Gregor Laura F. White Eric D. Kolaczyk
+	Control of COVID-19 transmission on an urban university campus during a second wave of the pandemic	2021	Davidson H. Hamer Laura F. White Helen E. Jenkins Christopher Gill Hannah N. Landsberg Catherine M. Klapperich Katia Bulekova Judy Platt Linette Decarie Wayne Gilmore
+ PDF Chat	Statistics Practicum: Placing 'Practice' at the Center of Data Science Education	2021	Eric D. Kolaczyk Haviland Wright Masanao Yajima
+ PDF Chat	Sensor-based localization of epidemic sources on human mobility networks	2021	Jun Li Juliane Manitz Enrico Bertuzzo Eric D. Kolaczyk
+	Inferring the Type of Phase Transitions Undergone in Epileptic Seizures Using Random Graph Hidden Markov Models for Percolation in Noisy Dynamic Networks	2021	Xiaojing Zhu Heather Shappell Mark Kramer Catherine J. Chu Eric D. Kolaczyk
+	Causal Inference under Network Interference with Noise	2021	Wenrui Li Daniel L. Sussman Eric D. Kolaczyk
+	Edge differentially private estimation in the $β$-model via jittering and method of moments	2021	Jinyuan Chang Hu Qiao Eric D. Kolaczyk Qiwei Yao Fengting Yi
+	Disentangling positive and negative partisanship in social media interactions using a coevolving latent space network with attractors model	2021	Xiaojing Zhu Cantay Caliskan Dino Christenson Konstantinos Spiliopoulos D. Walker Eric D. Kolaczyk
+ PDF Chat	Estimation of Subgraph Densities in Noisy Networks	2020	Jinyuan Chang Eric D. Kolaczyk Qiwei Yao
+ PDF Chat	Averages of unlabeled networks: Geometric characterization and asymptotic behavior	2020	Eric D. Kolaczyk Lizhen Lin Steven Rosenberg Jackson Walters Jie Xu
+	Estimation of the Epidemic Branching Factor in Noisy Contact Networks	2020	Wenrui Li Daniel L. Sussman Eric D. Kolaczyk
+	Descriptive Analysis of Network Graph Characteristics	2020	Eric D. Kolaczyk Gábor Csárdi
+	Mathematical Models for Network Graphs	2020	Eric D. Kolaczyk Gábor Csárdi
+	Statistical Models for Network Graphs	2020	Eric D. Kolaczyk Gábor Csárdi
+	Networked Experiments	2020	Eric D. Kolaczyk Gábor Csárdi
+	Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome	2020	Nathaniel Josephs Lizhen Lin Steven A. Rosenberg Eric D. Kolaczyk
+	A spectral-based framework for hypothesis testing in populations of networks	2020	Li Chen Nathaniel Josephs Lizhen Lin Jie Zhou Eric D. Kolaczyk
+ PDF Chat	Approximation of the difference of two Poisson-like counts by Skellam	2018	Han L. Gan Eric D. Kolaczyk
+ PDF Chat	Detection of multiple perturbations in multi‐omics biological networks	2018	Paula J. Griffin Yuqing Zhang W. Evan Johnson Eric D. Kolaczyk
+	Estimation of edge density in noisy networks	2018	Jinyuan Chang Eric D. Kolaczyk Qiwei Yao
+	Estimation of subgraph density in noisy networks	2018	Jinyuan Chang Eric D. Kolaczyk Qiwei Yao
+	Multiscale network analysis through tail-greedy bottom-up approximation, with applications in neuroscience	2018	Xinyu Kang Piotr Fryźlewicz Catherine J. Chu Mark Kramer Eric D. Kolaczyk
+	Statistical Research in Networks: Looking Forward	2018	Eric D. Kolaczyk
+	A Bayesian Covariance Graphical And Latent Position Model For Multivariate Financial Time Series	2017	Daniel Felix Ahelegbey Luís Carvalho Eric D. Kolaczyk
+ PDF Chat	Estimation of vertex degrees in a sampled network	2017	Apratim Ganguly Eric D. Kolaczyk
+ PDF Chat	Multiscale network analysis through tail-greedy bottom-up approximation, with applications in neuroscience	2017	Xinyu Kang Piotr Fryźlewicz Catherine J. Chu Mark Kramer Eric D. Kolaczyk
+	Averages of Unlabeled Networks: Geometric Characterization and Asymptotic Behavior	2017	Eric D. Kolaczyk Lizhen Lin Steven Rosenberg Jackson Walters
+	Hypothesis testing for network data in functional neuroimaging	2017	Cedric E. Ginestet Jun Li Prakash Balachandran Steven Rosenberg Eric D. Kolaczyk
+	Estimation of Vertex Degrees in a Sampled Network	2017	Apratim Ganguly Eric D. Kolaczyk
+	Approximation of the difference of two Poisson-like counts with Skellam	2017	Han L. Gan Eric D. Kolaczyk
+	Dynamic Networks with Multi-scale Temporal Structure	2017	Xinyu Kang Apratim Ganguly Eric D. Kolaczyk
+	On the Propagation of Low-Rate Measurement Error to Subgraph Counts in Large Networks	2017	Prakash Balachandran Eric D. Kolaczyk Weston D. Viles
+ PDF Chat	A Bayesian Covariance Graphical and Latent Position Model for Multivariate Financial Time Series	2017	Daniel Felix Ahelegbey Luís Carvalho Eric D. Kolaczyk
+	Averages of Unlabeled Networks: Geometric Characterization and Asymptotic Behavior	2017	Eric D. Kolaczyk Lizhen Lin Steven A. Rosenberg Jie Xu Jackson Walters
+	Estimation of Vertex Degrees in a Sampled Network	2017	Apratim Ganguly Eric D. Kolaczyk
+	A Bayesian Covariance Graphical And Latent Position Model For Multivariate Financial Time Series	2017	Daniel Felix Ahelegbey Luís Miguel Carvalho Eric D. Kolaczyk
+	Statistical Research in Networks: Looking Forward	2017	Eric D. Kolaczyk
+ PDF Chat	Percolation under noise: Detecting explosive percolation using the second-largest component	2016	Wes Viles Cedric E. Ginestet Ariana Tang Mark Kramer Eric D. Kolaczyk
+ PDF Chat	Meta-Analysis for Penalized Regression Methods with Multi-Cohort Genome-Wide Association Studies	2016	Chen Lu George O'connor Josée Dupuis Eric D. Kolaczyk
+ PDF Chat	Perturbation Detection Through Modeling of Gene Expression on a Latent Biological Pathway Network: A Bayesian Hierarchical Approach	2015	Lisa Pham Luís Carvalho Scott E. Schaus Eric D. Kolaczyk
+	Detection of multiple perturbations in multi-omics biological networks	2015	Paula J. Griffin W. Evan Johnson Eric D. Kolaczyk
+	On the Question of Effective Sample Size in Network Modeling: An Asymptotic Inquiry	2015	Pavel N. Krivitsky Eric D. Kolaczyk
+	Estimating network degree distributions under sampling: An inverse problem, with applications to monitoring social media networks	2015	Yaonan Zhang Eric D. Kolaczyk Bruce D. Spencer
+ PDF Chat	Modeling gene-covariate interactions in sparse regression with group structure for genome-wide association studies	2015	Yun Li George O'connor Josée Dupuis Eric D. Kolaczyk
+	Detection of multiple perturbations in multi-omics biological networks	2015	Paula J. Griffin W. Evan Johnson Eric D. Kolaczyk
+	On the Propagation of Low-Rate Measurement Error to Subgraph Counts in Large Networks	2014	Prakash Balachandran Eric D. Kolaczyk Weston D. Viles
+	Mathematical Models for Network Graphs	2014	Eric D. Kolaczyk Gábor Csárdi
+	Perturbation Detection Through Modeling of Gene Expression on a Latent Biological Pathway Network: A Bayesian hierarchical approach	2014	Lisa Pham Luis Alfredo Vidal de Carvalho Scott E. Schaus Eric D. Kolaczyk
+	On the Propagation of Low-Rate Measurement Error to Subgraph Counts in Large Networks	2014	Prakash Balachandran Eric D. Kolaczyk Weston D. Viles
+	Hypothesis Testing For Network Data in Functional Neuroimaging	2014	Cedric E. Ginestet Jun Li Prakash Balachandran Steven A. Rosenberg Eric D. Kolaczyk
+	Exponential-type Inequalities Involving Ratios of the Modified Bessel Function of the First Kind and their Applications	2013	Prakash Balachandran Weston D. Viles Eric D. Kolaczyk
+ PDF Chat	A Compressed PCA Subspace Method for Anomaly Detection in High-Dimensional Data	2013	Qi Ding Eric D. Kolaczyk
+	Inference of Network Summary Statistics Through Network Denoising	2013	Prakash Balachandran Edoardo M. Airoldi Eric D. Kolaczyk
+	Exponential-type Inequalities Involving Ratios of the Modified Bessel Function of the First Kind and their Applications	2013	Prakash Balachandran Weston D. Viles Eric D. Kolaczyk
+	Inference and characterization of multi-attribute networks with application to computational biology	2012	Natallia Katenka Eric D. Kolaczyk
+ PDF Chat	Weighted Frechet means as convex combinations in metric spaces: Properties and generalized median inequalities	2012	Cedric E. Ginestet Andrew Simmons Eric D. Kolaczyk
+	Weighted Frechet Means as Convex Combinations in Metric Spaces: Properties and Generalized Median Inequalities	2012	Cedric E. Ginestet Andrew Simmons Eric D. Kolaczyk
+	Weighted Frechet Means as Convex Combinations in Metric Spaces: Properties and Generalized Median Inequalities	2012	Cedric E. Ginestet Andrew Simmons Eric D. Kolaczyk
+	On the question of effective sample size in network modeling	2011	Eric D. Kolaczyk Pavel N. Krivitsky
+	Inference and Characterization of Multi-Attribute Networks with Application to Computational Biology	2011	Natallia Katenka Eric D. Kolaczyk
+	A Compressed PCA Subspace Method for Anomaly Detection in High-Dimensional Data	2011	Qi Ding Eric D. Kolaczyk
+	Inference and Characterization of Multi-Attribute Networks with Application to Computational Biology	2011	Natallia Katenka Eric D. Kolaczyk
+	Complexity-penalized estimation of minimum volume sets for dependent data	2010	Jianing Di Eric D. Kolaczyk
+ PDF Chat	Target Detection Via Network Filtering	2010	Shu Yang Eric D. Kolaczyk
+	Nonparametric Assessment of Contamination in Multivariate Data Using Generalized Quantile Sets and FDR	2010	Clayton Scott Eric D. Kolaczyk
+ PDF Chat	Network inference with confidence from multivariate time series	2009	Mark Kramer Uri T. Eden Sydney S. Cash Eric D. Kolaczyk
+	Statistical Analysis of Network Data: Methods and Models	2009	Eric D. Kolaczyk
+	Target Detection via Network Filtering	2009	Shu Yang Eric D. Kolaczyk
+	Analysis of Network Flow Data	2009	Eric D. Kolaczyk Gábor Csárdi
+	Target Detection via Network Filtering	2009	Shu Yang Eric D. Kolaczyk
+	Models for Network Graphs	2009	Eric D. Kolaczyk
+ PDF Chat	Distributed Spatial Anomaly Detection	2008	P. Chhabra Clayton Scott Eric D. Kolaczyk Mark Crovella
+ PDF Chat	Annotated Minimum Volume Sets for Nonparametric Anomaly Discovery	2007	Clayton Scott Eric D. Kolaczyk
+ PDF Chat	What is the real size of a sampled network? The case of the Internet	2007	Fabien Viger Alain Barrat Luca Dall’Asta Cun-Hui Zhang Eric D. Kolaczyk
+	Co-Betweenness: A Pairwise Notion of Centrality	2007	Eric D. Kolaczyk David B. Chua Marc Barthélemy
+	Bayesian Multiscale Deconvolution Applied to Gamma-ray Spectroscopy	2006	C. A. Young A. Connors Eric D. Kolaczyk M. McConnell G. Rank J. Ryan V. Schöenfelder
+	Multiscale detection of localized anomalous structure in aggregate disease incidence data	2006	Mary M. Louie Eric D. Kolaczyk
+	A multiscale method for disease mapping in spatial epidemiology	2005	Mary M. Louie Eric D. Kolaczyk
+	Network Kriging	2005	David B. Chua Eric D. Kolaczyk Mark Crovella
+ PDF Chat	A statistical framework for efficient monitoring of end-to-end network properties	2005	David B. Chua Eric D. Kolaczyk Mark Crovella
+ PDF Chat	A statistical framework for efficient monitoring of end-to-end network properties	2005	David B. Chua Eric D. Kolaczyk Mark Crovella
+	Multiscale generalised linear models for nonparametric function estimation	2005	Eric D. Kolaczyk Robert D. Nowak
+	Network Kriging	2005	David B. Chua Eric D. Kolaczyk Mark Crovella
+	A Statistical Framework for Efficient Monitoring of End-to-End Network Properties	2004	David B. Chua Eric D. Kolaczyk Mark Crovella
+	Multiscale likelihood analysis and complexity penalized estimation	2004	Eric D. Kolaczyk Robert D. Nowak
+	Comment	2003	Eric D. Kolaczyk
+	Multiscale Statistical Models	2003	Eric D. Kolaczyk Robert D. Nowak
+	Power from Understanding the Shape of Measurement: Progress in Bayesian Inference for Astrophysics - Commentary	2003	Eric D. Kolaczyk
+	Multiscale Analysis of Photon-Limited Astronomical Signals and Images	2002	Rebecca Willett Robert D. Nowak Eric D. Kolaczyk
+	A multiscale MAP estimation method for Poisson inverse problems	2002	Robert Nowak Eric D. Kolaczyk
+	Reconstruction in emission tomography via a Bayesian multiscale statistical framework	2000	Eric D. Kolaczyk Robert D. Nowak
+	Bayesian Multiscale Models for Poisson Processes	1999	Eric D. Kolaczyk
+	Bayesian Multiscale Models for Poisson Processes	1999	Eric D. Kolaczyk
+	A Bayesian multiscale framework for Poisson inverse problems	1999	Robert Nowak Eric D. Kolaczyk
+	WAVELET SHRINKAGE ESTIMATION OF CERTAIN POISSON INTENSITY SIGNALS USING CORRECTED THRESHOLDS	1999	Eric D. Kolaczyk
+	Evidence for a Galactic gamma-ray halo	1998	David Dixon D. H. Hartmann Eric D. Kolaczyk J. Samimi R. Diehl G. Kanbach H. A. Mayer‐Hasselwander A. W. Strong
+	Adaptive Bayesian Wavelet Shrinkage	1997	Hugh Chipman Eric D. Kolaczyk Robert E. McCulloch
+ PDF Chat	Nonparametric Estimation of Gamma‐Ray Burst Intensities Using Haar Wavelets	1997	Eric D. Kolaczyk
+ PDF Chat	Evidence for GeV emission from the Galactic center fountain	1997	D. H. Hartmann David Dixon Eric D. Kolaczyk J. Samimi

Common Coauthors

Coauthor	Papers Together
Prakash Balachandran	8
Laura F. White	7
Lizhen Lin	7
Jinyuan Chang	6
Mark Crovella	6
Cedric E. Ginestet	6
Nathaniel Josephs	6
Gábor Csárdi	6
Qiwei Yao	6
David B. Chua	6
Konstantinos Spiliopoulos	5
Weston D. Viles	5
Robert D. Nowak	5
Wenrui Li	5
Cantay Caliskan	5
Xiaojing Zhu	5
D. Walker	5
Dino Christenson	5
Mark Kramer	5
Xinyu Kang	4
Steven Rosenberg	4
Katia Bulekova	4
Apratim Ganguly	4
W. Evan Johnson	3
Daniel Felix Ahelegbey	3
Andrew Simmons	3
Wenrui Li	3
Daniel L. Sussman	3
Luís Carvalho	3
Catherine J. Chu	3
Clayton Scott	3
Jackson Walters	3
Paula J. Griffin	3
Shurong Lin	3
Natallia Katenka	3
Lena Landaverde	2
Kenneth Elmore	2
Judy Platt	2
Mary M. Louie	2
Qi Ding	2
David Dixon	2
Douglas Densmore	2
Megan Pilkington	2
Helen E. Jenkins	2
D. H. Hartmann	2
Ann M. Zaia	2
George O'connor	2
Elliot Paquette	2
Tom Rose	2
Mark A. Faria	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Statistical Analysis of Network Data: Methods and Models	2009	Eric D. Kolaczyk	15
+	On the Propagation of Low-Rate Measurement Error to Subgraph Counts in Large Networks	2017	Prakash Balachandran Eric D. Kolaczyk Weston D. Viles	7
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	7
+ PDF Chat	Estimation of Subgraph Densities in Noisy Networks	2020	Jinyuan Chang Eric D. Kolaczyk Qiwei Yao	6
+	Hypothesis testing for network data in functional neuroimaging	2017	Cedric E. Ginestet Jun Li Prakash Balachandran Steven Rosenberg Eric D. Kolaczyk	6
+ PDF Chat	Random graphs with a given degree sequence	2011	Sourav Chatterjee Persi Diaconis Allan Sly	6
+ PDF Chat	Network classification with applications to brain connectomics	2019	Jesús Arroyo Daniel Kessler Elizaveta Levina Stephan F. Taylor	5
+ PDF Chat	Statistical Inference on Errorfully Observed Graphs	2014	Carey E. Priebe Daniel L. Sussman Minh Tang Joshua T Vogelstein	5
+ PDF Chat	Large sample theory of intrinsic and extrinsic sample means on manifolds	2003	Rabi Bhattacharya Vic Patrangenaru	5
+	Wavelet Shrinkage: Asymptopia?	1995	David L. Donoho Iain M. Johnstone Gérard Kerkyacharian Dominique Picard	5
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	5
+	Modeling social networks from sampled data	2010	Mark S. Handcock Krista J. Gile	5
+ PDF Chat	Emergence of Scaling in Random Networks	1999	Albert‐László Barabási Réka Albert	5
+	Covasim: an agent-based model of COVID-19 dynamics and interventions	2020	Cliff C. Kerr Robyn M. Stuart Dina Mistry Romesh Abeysuriya Katherine Rosenfeld Gregory R. Hart Rafael C. Núñez Jamie A. Cohen Prashanth Selvaraj Brittany Hagedorn	4
+	Improved inference of time-varying reproduction numbers during infectious disease outbreaks	2019	Robin N. Thompson J.E. Stockwin Rolina D. van Gaalen Jonathan A. Polonsky Zhian N. Kamvar P.A. Demarsh Elisabeth Dahlqwist S. Li Eve Miguel Thibaut Jombart	4
+	High-dimensional graphs and variable selection with the Lasso	2006	Nicolai Meinshausen Peter Bühlmann	4
+ PDF Chat	Averages of unlabeled networks: Geometric characterization and asymptotic behavior	2020	Eric D. Kolaczyk Lizhen Lin Steven Rosenberg Jackson Walters Jie Xu	4
+ PDF Chat	Estimating Individual and Household Reproduction Numbers in an Emerging Epidemic	2007	Christophe Fraser	4
+	Ideal spatial adaptation by wavelet shrinkage	1994	David L. Donoho Iain M. Johnstone	4
+ PDF Chat	A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics	2013	Anne Cori Neil M. Ferguson Christophe Fraser Simon Cauchemez	4
+	Multiscale modeling and estimation of Poisson processes with application to photon-limited imaging	1999	K.E. Timmermann Robert D. Nowak	4
+ PDF Chat	A theory for multiresolution signal decomposition: the wavelet representation	1989	Stéphane Mallat	4
+ PDF Chat	Bayesian back-calculation and nowcasting for line list data during the COVID-19 pandemic	2021	Tenglong Li Laura F. White	4
+	Spectral clustering and the high-dimensional stochastic blockmodel	2011	Karl Rohe Sourav Chatterjee Bin Yu	4
+ PDF Chat	Nonparametric Bayes dynamic modelling of relational data	2014	Daniele Durante David B. Dunson	3
+	Estimating the Number of Species: A Review	1993	John Bunge Matthew C. Fitzpatrick	3
+ PDF Chat	Random-Walk Models of Network Formation and Sequential Monte Carlo Methods for Graphs	2018	Benjamin Bloem‐Reddy Peter Orbanz	3
+	On clustering network-valued data	2016	Soumendu Sundar Mukherjee Purnamrita Sarkar Lizhen Lin	3
+ PDF Chat	Convergence of Estimates Under Dimensionality Restrictions	1973	Lucien LeCam	3
+	Omnibus CLTs for Fréchet means and nonparametric inference on non-Euclidean spaces	2016	Rabi Bhattacharya Lizhen Lin	3
+ PDF Chat	A principal component analysis for trees	2009	Burcu Aydın Gábor Pataki Haonan Wang Elizabeth Bullitt J. S. Marron	3
+	Estimating and understanding exponential random graph models	2013	Sourav Chatterjee Persi Diaconis	3
+ PDF Chat	Central limit theorems for Fréchet means in the space of phylogenetic trees	2013	D. Barden Huiling Le Megan Owen	3
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	3
+	Inference in Curved Exponential Family Models for Networks	2006	David R. Hunter Mark S. Handcock	3
+	Spatial Interaction and the Statistical Analysis of Lattice Systems	1974	Julian Besag	3
+ PDF Chat	Stochastic blockmodels with a growing number of classes	2012	D-S Choi Patrick J. Wolfe Edoardo M. Airoldi	3
+	Non-Euclidean statistics for covariance matrices, with applications to diffusion tensor imaging	2009	Ian L. Dryden Alexey Koloydenko Diwei Zhou	3
+	Multiple shrinkage and subset selection in wavelets	1998	Merlise A. Clyde	3
+ PDF Chat	A Statistical Framework for Differential Privacy	2010	Larry Wasserman Shuheng Zhou	3
+	A multiscale method for disease mapping in spatial epidemiology	2005	Mary M. Louie Eric D. Kolaczyk	3
+	The EM Algorithm and Extensions	1998	Debashis Kushary Geoffrey J. McLachlan Thriyambakam Krishnan	3
+	Estimation of the number of vertices of different degrees in a graph	1980	Ove Frank	3
+ PDF Chat	Sampling properties of random graphs: The degree distribution	2005	Michael P. H. Stumpf Carsten Wiuf	3
+	Matrix estimation by Universal Singular Value Thresholding	2014	Sourav Chatterjee	3
+ PDF Chat	Wavelet Thresholding via A Bayesian Approach	1998	Felix Abramovich Theofanis Sapatinas B. W. Silverman	3
+	Adaptive Bayesian Wavelet Shrinkage	1997	Hugh Chipman Eric D. Kolaczyk Robert E. McCulloch	3
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	3
+	A Course in Metric Geometry	2001	Dmitri Burago Yuri Burago S. V. Ivanov	3
+ PDF Chat	A Survey of Statistical Network Models	2009	Anna Goldenberg	3