Complex Data Modeling Research Network

about us

Overview

The continuously growing capacities for the acquisition and storage of data sets call for new approaches to process data efficiently and extract relevant information. In fact, the interest in large data sets is when they are actually 'strange' and allow us to learn about complex mechanisms generating them. In these contexts, it may be difficult or even counterproductive to employ simple statistical models for the learning process.

The Complex Data Modeling Research Network brings together leading experts and talented young researchers in statistics and data science from different universities around the world. The mission of the network is to promote world-class statistical and data science research, developing innovative methodology to support the generation of data-based evidence, and to foster faculty and student interaction and exchange among the centeres involved in the network. The Complex Data Modeling Research Network carries out its role by organizing open and closed online seminars, and reading groups.

The network is led by MiDaS and involves researchers from the following departments:

Department of Statistics, Pontificia Universidad Católica de Chile (UC), Chile
Department of Statistics, Brigham Young University (BYU), USA
Department of Statistics, University of California at Irvine (UCI), USA
Department of Statistics and Data Sciences, University of Texas at Austin (UTA), USA
Department of Statistics, Rice University (RU), USA
Department of Probability and Statistics, IIMAS (UNAM), Mexico
Department of Statistics, Ohio State University (OSU), USA
Department of Biostatistics, University of California at Los Angeles (UCLA), USA
Department of Statistics, University of California at Santa Cruz (UCSC), USA
BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University (BU), Italy
“de Castro” Statistics Initiative, Collegio Carlo Alberto (CCA), Torino, Italy
Department of Statistics, Instituto Tecnológico Autónomo de México (ITAM), Mexico
Department of Statistical Science, Duke University (DUKE), USA
Department of Mathematics, Vrije Universiteit Amsterdam (VUA), The Netherlands
Department of Statistics, University of Washington (UW), USA

The network in a map

Alternative content for the map

Organizers

Guindani, Michele
Professor, Department of Statistics, University of California at Irvine, USA

Jara, Alejandro
Associate Professor, Department of Statistics, Ponitificia Universidad Católica de Chile, Chile

Page, Garritt
Associate Professor, Department of Statistics, Brigham Young University, USA

Coordinators

Beaudry, Isabelle
Assistant Professor, MiDaS and Department of Statistics, Pontificia Universidad Católica de Chile, Chile

Chen, Yen-Chi
Assistant Professor, Department of Statistics, University of Washington

De Blasi, Pierpaolo
Associate Professor, University of Torino and Collegio Carlo Alberto

Gutierrez, Luis
Assistant Professor, MiDaS and Department of Statistics UC, Chile

Herring, Amy H
Sara and Charles Ayres Distinguished Professor Duke University, USA

Kowal, Daniel
Assistant Professor, Department of Statistics Rice University, USA

Lee, Juhee
Associate Professor, Department of Statistics, University of California at Santa Cruz

Müller, Peter
Full Professor, Department of Mathematics University of Texas at Austin, USA

Petrone, Sonia
Professor, Bocconi Institute for Data Science & Analytics, Bocconi University

Prado, Raquel
Professor, Department of Statistics, University of California at Santa Cruz

Rodriguez, Abel
Professor and Department Chair, Department of Statistics, University of Washington

Rodríguez Caballero, Carlos Vladimir
Assistant Professor, Department of Statistics, ITAM, Mexico

Ruggiero, Matteo
Professor, University of Torino and Collegio Carlo Alberto

Simon Mak
Assistant Professor, Duke University

Szabo, Botond
Associate Professor, Mathematics Department, Vrije Universiteit Amsterdam

Telesca, Donatello
Professor, Department of Biostatistics University of California at Los Angeles USA

Zanella, Giacomo
Assistant Professor, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Members

Aliverti, Emanuele

Postdoctoral research fellow, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Aliverti, Emanuele

Anceschi, Niccolò

Ph.D. Student, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Anceschi, Niccolò

Ascolani, Filippo

Ph.D. Student, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Ascolani, Filippo

Baldi, Pierre

Professor, Institute for Genomics and Bioinformatics, University of California at Irvine, USA

Baldi, Pierre

Balocchi, Cecilia

Postdoctoral Fellow, University of Torino and 'de Castro' Statistics Initiative, Collegio Carlo Alberto

Balocchi, Cecilia

Banerjee, Sudipto

Professor, Department of Biostatistics University of California at Los Angeles USA

Banerjee, Sudipto

Berdichevsky Acosta, León

Assistant Professor, Department of Actuarial Sciences, ITAM, Mexico

Berdichevsky Acosta, León

Berrocal, Veronica

Professor

Berrocal, Veronica

Bevilacqua, Moreno

Professor, MiDaS and Department of Statistics, Universidad de Valparaíso, Chile

Bevilacqua, Moreno

Bonetti, Marco

Professor, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Bonetti, Marco

Bonsaglio, Marta

Ph.D. Student, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Bonsaglio, Marta

Borgonovo, Emanuele

Professor, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Borgonovo, Emanuele

Camerlenghi, Federico

BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Camerlenghi, Federico

Castro, Mauricio

Associate Professor, MiDaS and Department of Statistics, Pontificia Universidad Católica de Chile, Chile

Castro, Mauricio

Catalano, Marta

PhD Student, Bocconi Institute for Data Science and Analytics, Bocconi University and 'de Castro' Statistics Initiative, Collegio Carlo Alberto

Catalano, Marta

Dahl, David

Professor, Department of Statistics, Brigham Young University, USA

Dahl, David

Denti, Francesco

Postdoctoral Scholar, University of California, Irvine

Denti, Francesco

Dobra, Adrian

Professor, Department of Statistics, University of Washington

Dobra, Adrian

Durante, Daniele

Assistant Professor, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Durante, Daniele

Ensor, Kathy

Professor and Director of CoFES, George R. Brown School of Engineering, Rice University

Ensor, Kathy

Fasano, Augusto

Postdoctoral Fellow, University of Torino and 'de Castro' Statistics Initiative, Collegio Carlo Alberto

Fasano, Augusto

Favaro, Stefano

Professor, University of Torino and Collegio Carlo Alberto

Favaro, Stefano

Fellingham, Gil

Professor Department of Statistics BYU, USA

Fellingham, Gil

Fortini, Sandra

Associate Professor, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Fortini, Sandra

Franzolini, Beatice

Ph.D. Student, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Franzolini, Beatice

Gaffi, Francesco

Ph.D. Student, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Gaffi, Francesco

García Zattera, María José

Adjoint Assistant Professorr Department of Statistics UC, Chile

García Zattera, María José

Graziani, Rebecca

BayesLab, Bocconi Institute of Data Science and Analytics, Bocconi University

Graziani, Rebecca

Guhaniyogi, Rajarshi

Assistant Professor, Department of Statistics, University of California at Santa Cruz

Guhaniyogi, Rajarshi

Guzman, Cristobal

Assistant Professor MiDaS and IMC UC, Chile

Guzman, Cristobal

Heiner, Matthew

Professor Department of Statistics BYU, USA

Heiner, Matthew

Jeliazkov, Ivan

Associate Professor of Economics and Statistics, Department of Economics University of California at Irvine

Jeliazkov, Ivan

Johnson, Wesley O.

Professor, Department of Statistics, University of California at Irvine, USA

Johnson, Wesley O.

Khorrami Chokami, Amir

Assistant Professor, University of Torino and 'de Castro' Statistics Initiative, Collegio Carlo Alberto

Khorrami Chokami, Amir

Kottas, Athanasios

Professor, Department Statistics, University of California at Santa Cruz

Kottas, Athanasios

Legramanti, Sirio

Ph.D. Student, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Legramanti, Sirio

Lijoi, Antonio

Full Professor, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Lijoi, Antonio

Liu, Chunshan

Ph.D. Student, Department of Statistics, Rice University

Liu, Chunshan

Liu, Zejian

Ph.D. Student, Department of Statistics, Rice University

Liu, Zejian

Lund, Robert

Professor and Department Chair, Department of Statistics, University of California at Santa Cruz

Lund, Robert

Ma, Li

Professor, Department of Statistical Science, Duke University

Ma, Li

MacEachern, Steve

Professor Department of Statistics OSU, USA

MacEachern, Steve

Mandt, Stephan

Assistant Professor Department of Computer Science, University of California at Irvine

Mandt, Stephan

Melilli, Eugenio

Associate Professor, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Melilli, Eugenio

Mena, Ramses

Professor Departamento de Probabilidad y Estadística UNAM, Mexico

Mena, Ramses

Meng, Li

Professor, Department of Statistics, Rice University, USA

Meng, Li

Montagna, Silvia

Assistant Professor, University of Torino and 'de Castro' Statistics Initiative, Collegio Carlo Alberto

Montagna, Silvia

Muliere, Pietro

Full Professor, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Muliere, Pietro

Nieto Barajas, Luis Enrique

IFull Professor, Department of Statistics, ITAM, Mexico

Nieto Barajas, Luis Enrique

Padoan, Simone

Assistant Professor, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Padoan, Simone

Petrache, Mircea

Assistant Professor, Facultad de Matemáticas, Pontificia Universidad Católica de Chile

Petrache, Mircea

Piccarreta, Raffaella

Associate Professor, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Piccarreta, Raffaella

Prünster, Igor

Professor and Director, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Prünster, Igor

Quintana, Fernando

Professor Department of Statistics UC, Chile

Quintana, Fernando

Rebaudo, Giovanni

Ph.D. Student, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Rebaudo, Giovanni

Richardson, Robert

Assistant Professor, Department of Statistics, Brigham Young University

Richardson, Robert

Rigon, Tommaso

Postdoc, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Rigon, Tommaso

Rossell, David

Ramon y Cajal Fellow

Rossell, David

Sadeghkhani, Abdolnasser

Assistant Professor, Department of Statistics, ITAM, Mexico

Sadeghkhani, Abdolnasser

Sansó, Bruno

Professor, Department of Statistics, University of California at Santa Cruz

Sansó, Bruno

Scarpa, Bruno

Professor, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Scarpa, Bruno

Shen, Weining

Assistant Professor, Department of Statistics University of California at Irvine

Shen, Weining

Sing-Long, Carlos

Assistant Professor MiDaS and IMC UC, Chile

Sing-Long, Carlos

Sudderth, Erik

Professor, Department of Computer Science, University of California at Irvine, USA

Sudderth, Erik

Utts, Jessica

Professor, Department of Statistics, University of California at Irvine, USA

Utts, Jessica

Vannucci, Marina

Professor, Department of Statistics, Rice University, USA

Vannucci, Marina

Venturini, Sergio

Associate Professor, University of Torino and 'de Castro' Statistics Initiative, Collegio Carlo Alberto

Venturini, Sergio

Veronese, Piero

Professor, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Veronese, Piero

Warr, Rich

Professor Department of Statistics BYU, USA

Warr, Rich

White, Philip

Professor, Department of Statistics, Brigham Young University, USA

White, Philip

Zhang, Wei

Ph.D. Student, BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi University

Zhang, Wei

van Zanten, Harry

Professor, Department of Mathematics, Vrije Universiteit Amsterdam.

van Zanten, Harry

activities

Future activities

Timezone:

Past activities

Year	Title activity	Responsable	Speaker	Date	Timezone
2022	Naive Penalized Spline Estimators of Derivatives Achieve Optimal Rates of Convergence	Isabelle Beaudry	John Staudenmayer (University of Massachusetts, Amherst)	2022-03-25	America/Santiago
2022	Divide-and-Conquer: A Distributed Hierarchical Factor Approach to Modeling Large-Scale Time Series Data	Vladimir Rodríguez	Ruey S. Tsay, The University of Chicago. Booth School of Business.	2022-02-25	America/Mexico_City
2021	Density regression via dependent Dirichlet process mixtures and penalised splines	Isabelle Beaudry	Vanda Inacio De Carvalho	2021-12-17	America/Santiago
2021	Nonparametric Model-Assisted Estimation Using Scrambled Responses from Complex Surveys	Isabelle Beaudry	Sayed Mostafa	2021-12-03	America/Santiago
2021	Adaptive Random Neighbourhood MCMC schemes for large variable selection problems	Vladimir Rodriguez-Caballero	Jim Griffin. UCL	2021-10-15	America/Mexico_City
2021	Centered Partition Processes: Informative Priors for Clustering	Isabelle Beaudry	Sally Paganin (Harvard School of Public Health)	2021-10-08	America/Santiago
2021	Bayesian dynamic quantile linear models and some extensions	Isabelle Beaudry	Kelly C. M. Gonçalves (Universidade Federal do Rio de Janeiro)	2021-09-24	America/Santiago
2021	A Power Prior Approach for Leveraging External Longitudinal and Competing Risks Survival Data within the Joint Modeling Framework	Vladimir Rodriguez-Caballero	Ming-Hui Chen, University of Connecticut	2021-08-20	America/Mexico_City
2021	Two applications in response to COVID-19: Modeling transmission using contact tracing data and modeling associated excess deaths	Isabelle Beaudry	Mark Handcock (UCLA)	2021-08-13	America/Santiago
2021	Model-Based Estimates in Demography and Global Health: Quantifying the Contribution of Population-Period-Specific Information	Isabelle Beaudry	Leontine Alkema	2021-07-23	America/Santiago
2021	Differentially private methods for Bayesian model uncertainty in linear regression models	Isabelle Beaudry	Andres Felipe Barrientos	2021-07-02	America/Santiago
2021	An Automatic Finite-Sample Robustness Metric: Can Dropping a Little Data Change Conclusions?	Garritt Page	Tamara Broderick	2021-06-09	America/New_York
2021	A General Multiply Robust Framework for Combining Probability and Non-Probability Samples in Surveys	Isabelle Beaudry	David Haziza (University of Ottawa)	2021-06-04	America/Santiago
2021	Bayesian subset selection and variable importance for interpretable prediction and classification	Toccara Chamberlain	Dan Kowal	2021-06-04	America/Chicago
2021	Nonparametric Bayesian inference for reversible multi-dimensional diffusions	Botond Szabo	Matteo Giordano (Cambridge)	2021-05-21	Europe/Amsterdam
2021	A simple new approach to variable selection in regression, with application to genetic fine-mapping	Botond Szabo	Matthew Stephens (Chicago)	2021-05-21	Europe/Amsterdam
2021	Approximate Bayesian computation via variational approximation	Giacomo Zanella	Yun Yang (Illinois Urbana-Champaign)	2021-05-13	Europe/Rome
2021	Policy Questions, Messy Data: Three approaches to turning messy data into information for public policy	Isabelle Beaudry	Krista Gile (Associate Professor of Statistics at the Department of Mathematics and Statistics of the University of Massachusetts Amherst)	2021-05-07	America/Santiago
2021	Bayesian Decision Tree Ensembling Strategies for Nonparametric Problems	Giacomo Zanella	Antonio Linero (UT Austin)	2021-05-06	Europe/Rome
2021	Vintage Factor Analysis With Varimax Performs Statistical Inference	Isabelle Beaudry	Karl Rohe (UW-Madison)	2021-04-23	America/Santiago
2021	Robust Estimation via M.M.D. Minimization	Giacomo Zanella	Pierre Alquier (RIKEN Center for Advanced Intelligence Project)	2021-04-22	Europe/Rome
2021	Robustly Learning Mixtures of (Clusterable) Gaussians via the SoS Proofs to Algorithms Method	Giacomo Zanella	Sam Hopkins (UC Berkeley)	2021-04-15	Europe/Rome
2021	Minimax and Bayesian estimation of the unseen under tail-index regularity	Botond Szabo	Zacharie Naulet (Universite' Paris-Sud)	2021-04-09	Europe/Amsterdam
2021	A new approach to Posterior Contraction Rates via Wasserstein dynamics	Botond Szabo	Emanuele Dolera (Pavia)	2021-04-09	Europe/Amsterdam
2021	Streaming k-PCA and concentration for random matrix products	Giacomo Zanella	Jonathan Niles-Weed (New York University)	2021-03-25	Europe/Rome
2021	Bayesian Uncertainty	Dan Kowal	Stephen G. Walker	2021-03-22	America/Chicago
2021	Gibbs sampling in the analysis of priors for almost exchangeable data	Pierpaolo De Blasi	Andrea Ottolini (Standford University, USA)	2021-03-19	Europe/Rome
2021	On Theory and Practice for Bayesian Tree Ensembles	Dan Kowal	Antonio Linero	2021-03-15	America/Chicago
2021	Regime switching models for directional and linear observations	Carlos Vladimir Rodriguez-Caballero	Professor Andrew Harvey, University of Cambridge	2021-03-12	America/Mexico_City
2021	Functional Linear Regression with Mixed Predictors	Giacomo Zanella	Yu Yi (University of Warwick)	2021-03-11	Europe/Rome
2021	Obtaining faster convergence rates in finite mixture models by taking repeated measures	Pierpaolo De Blasi	Yun Wei (Samsi and Duke University, USA)	2021-02-26	Europe/Rome
2021	Approximate Laplace approximation	Botond Szabo	David Rossell (Univ. Pompeu Fabra in Barcelona)	2021-02-19	Europe/Amsterdam
2021	Metropolis-Hastings Via Classification	Botond Szabo	Veronika Rockova (Chicago Booth)	2021-02-19	Europe/Amsterdam
2021	On a Semiparametric Estimation Method for AFT Mixture Cure Models	Vladimir Rodríguez-Caballero	Ingrid Van Keilegom, KU Leuven	2021-02-12	America/Mexico_City
2021	Escaping the curse of dimensionality in Bayesian model based clustering	Dan Kowal	Antonio Canale	2021-02-08	America/Chicago
2021	Meshed Gaussian Processes for efficient Bayesian inference of big data spatial regression models	Donatello Telesca	Michele Peruzzi (Duke University)	2021-02-03	America/Los_Angeles
2021	Adapting the Metropolis Algorithm	Carlos Vladimir Rodriguez-Caballero	Jeffrey S. Rosenthal, University of Toronto	2021-01-29	America/Mexico_City
2020	Approximate Laplace approximation	Matteo Ruggiero	David Rossell (Universitat Pompeu Fabra)	2020-12-17	Europe/Rome
2020	Generalized mixtures of finite mixtures	Michele Guindani	Gertraud Malsiner-Walli	2020-12-04	America/Los_Angeles
2020	Matrix Data Modeling: Smoothing and Covariance Estimation	Michele Guindani	Weining Shen	2020-12-03	America/Los_Angeles
2020	Now- and Backcasting Initial Claims with High-Dimensional Daily Internet Search-Volume Data	Carlos Vladimir Rodriguez-Caballero	Erik Christian Montes Schütte (Aarhus University and CREATES)	2020-11-27	America/Mexico_City
2020	Learning & Exploiting Low-Dimensional Structure in High-Dimensional Data	Matteo Ruggiero	Didong Li (Princeton University and UCLA)	2020-11-20	Europe/Rome
2020	Identifying the latent space geometry of network models through analysis of curvature	Giacomo Zanella	Tyler H. McCormick	2020-11-19	Europe/Rome
2020	Statistical and computational perspectives on latent variable models	Giacomo Zanella	Nhat Ho	2020-11-05	Europe/Rome
2020	Who Wrote It? A Hierarchical Mixture Model for Forensic Handwriting Analysis	Michele Guindani	Alicia Carriquiry, Distinguished Professor, President's Chair in Statistics Iowa State University	2020-10-29	America/Los_Angeles
2020	Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Category Learning	Giacomo Zanella	Abhra Sarkar (University of Texas at Austin)	2020-10-29	Europe/Rome
2020	Posterior asymptotics in Wasserstein metrics on the real line	Pierpaolo De Blasi	Minwoo Chae, Pohang University of Science and Technology, South Korea	2020-10-23	Europe/Rome
2020	Latent Variable Modeling for Neural Data Analysis	Michele Guindani	Babak Shahbaba	2020-10-22	America/Los_Angeles
2020	Handling Sampling and Selection Bias in Association Studies Embedded in Electronic Health Records	Simon Mak	Bhramar Mukherjee	2020-10-16	America/New_York
2020	Variable Selection in Mixture of Regression Models: Uncovering Cluster Structure and Relevant Features	Michele Guindani	Mahlet Tadesse	2020-10-08	America/Los_Angeles
2020	Projection-based uniformity tests on the hypersphere	Vladimir Rodríguez Caballero	Eduardo García Portugués (UC3M)	2020-10-02	America/Mexico_City
2020	Peaks, Gaps, and Time Reversibility of Economic Time Series	Vladimir Rodríguez Caballero	Tommaso Proietti, University of Rome Tor Vergata	2020-09-25	America/Mexico_City
2020	The Illusion of the Illusion of Sparsity	Vladimir Rodríguez Caballero	Hedibert Freitas Lopes	2020-08-28	America/Mexico_City
2020	Generalized Bayes for probabilistic uncertainty quantification in unsupervised learning	Garritt Page	David B. Dunson	2020-07-23	America/New_York
2020	Elements of Bayesian geometry	Luis Gutierrez	Miguel de Carvalho, University of Edinburgh	2020-06-17	America/Santiago

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Membership in the Complex Data Modeling Research Network is open to anyone with an interest in participating in lively discussion regarding statistical methodology, data science, and their roles in scientific endeavors.

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The Complex Data Modeling Research Network is a non-profit all-volunteer group dedicated to promote world-class statistical and data science research, developing innovative methodology to support the generation of data-based evidence, and to foster faculty and student interaction and exchange among the centeres involved in the network. If you would like to donate, please send as a message using the following form. Any amount is welcome!