April 26, 2018 |
Inference for Spatio-Temporal Changes of Arctic Sea Ice Noel Cressie (University of Wollongong) |
Forecasting from Complexity |

April 23, 2018 |
School of Math Ordway Distinguished Lecture: Applied Random Matrix Theory Joel Tropp |
Forecasting from Complexity |

April 26, 2018 |
Stochastic Simulation of Predictive Space-Time Scenarios of Wind Speed Using Observations and Physical Models Mihai Anitescu (Argonne National Laboratory) |
Forecasting from Complexity |

April 24, 2018 |
Assessing Internal Climate Variability with Few Ensemble Runs Dorit Hammerling (NCAR) |
Forecasting from Complexity |

April 26, 2018 |
Non-parametric Sparse Additive Auto-regressive Network Models Garvesh Raskutti (University of Wisconsin, Madison) |
Forecasting from Complexity |

April 24, 2018 |
Generating Calibrated Ensembles of Physically Realistic, High-Resolution Precipitation Forecast Fields Based on GEFS Model Output Michael Scheuerer (National Oceanographic and Atmospheric Administration (NOAA)) |
Forecasting from Complexity |

April 25, 2018 |
Estimation of inhomogeneous point processes: Theory and applications Mark Davenport (Georgia Institute of Technology) |
Forecasting from Complexity |

April 27, 2018 |
Spatio-Temporal Point Process Models for Ambulance Demand David S. Matteson (Cornell University) |
Forecasting from Complexity |

April 26, 2018 |
Multi-class modelling for muscle level prediction of beef eating quality Garth Tarr (University of Sydney) |
Forecasting from Complexity |

April 26, 2018 |
Dynamic Shrinkage Processes Daniel Kowal (Rice University) |
Forecasting from Complexity |

April 24, 2018 |
Bayesian Calibration of Multistate Stochastic Simulators Oksana Chkrebtii (The Ohio State University) |
Forecasting from Complexity |

April 26, 2018 |
Fast Simulation based Estimation for Complex Models Maria-Pia Victoria-Feser (Universite de Geneve) |
Forecasting from Complexity |

April 24, 2018 |
Spectral analysis for comparison of second-order flow structure in DNS simulations Charlotte Haley (Argonne National Laboratory) |
Forecasting from Complexity |

April 26, 2018 |
Geometric Statistics for High-Dimensional Data Analysis Singdhansu (Ansu) Chatterjee (University of Minnesota, Twin Cities) |
Forecasting from Complexity |

April 24, 2018 |
Spatiotemporal modelling of ocean surface velocities from drifters Adam Sykulski (University of Lancaster) |
Forecasting from Complexity |

April 27, 2018 |
Optimal Dimension Reduction for Vector and Functional Time Series Marc Hallin (Université Libre de Bruxelles) |
Forecasting from Complexity |

April 24, 2018 |
Network Estimation from Point Process Data Rebecca Willett (University of Wisconsin, Madison) |
Forecasting from Complexity |

April 27, 2018 |
Regularized Estimation in High-dimensional Time Series Models Sumanta Basu (Cornell University) |
Forecasting from Complexity |

April 24, 2018 |
Robust maximum association estimators Peter Filzmoser (Technische Universität Wien) |
Forecasting from Complexity |

April 26, 2018 |
Half-spectral space-time models Joe Guinness (North Carolina State University) |
Forecasting from Complexity |

April 25, 2018 |
Forecasting Realized Volatility Measures with Multivariate and Univariate Models: The Case of The US Banking Sector Alain Hecq (Universiteit Maastricht (Rijksuniversiteit Limburg)) |
Forecasting from Complexity |

April 27, 2018 |
Relevant parameter changes in structural break models Arnaud Dufays (Laval University) |
Forecasting from Complexity |

April 24, 2018 |
Sequential change-point detection for Hawkes processes over networks Yao Xie (Georgia Institute of Technology) |
Forecasting from Complexity |

April 23, 2018 |
Complexity vs Parsimony: The Challenge of Building Effective Nonlinear Dynamical Spatio-Temporal Forecasting Model Chris Wikle (University of Missouri) |
Forecasting from Complexity |

April 25, 2018 |
Verification within Complexity: Comparing Spatial Fields Eric Gilleland (National Center for Atmospheric Research) |
Forecasting from Complexity |

April 23, 2018 |
Fast spike train inference via l0 optimization Daniela Witten (University of Washington) |
Forecasting from Complexity |

April 25, 2018 |
Deep Spatial Learning for Forensic Geolocation with Microbiome Data Brian Reich (North Carolina State University) |
Forecasting from Complexity |

March 05, 2018 |
Local keynote lecture: Ways of Knowing in HCI Haiyi Zhu (University of Minnesota, Twin Cities) |
Women in Data Science (WiDS) Conference |

March 05, 2018 |
Local keynote lecture: Reinforcement learning for functional state space with application to Type 1 Diabetes Susan Wei (University of Minnesota, Twin Cities) |
Women in Data Science (WiDS) Conference |

August 13, 2018 |
An Introduction to Multi-D Persistent Homology Michael Lesnick (Princeton University) |
Tutorial on Multiparameter Persistence, Computation, and Applications |

August 13, 2018 |
Morse Theory and Persistent Homology Computation Gregory Henselman (University of Pennsylvania) |
Tutorial on Multiparameter Persistence, Computation, and Applications |

August 14, 2018 |
Computation of Persistent Homology, Part II Ulrich Bauer (Technical University of Munich) |
Tutorial on Multiparameter Persistence, Computation, and Applications |

August 14, 2018 |
Quiver Representation Theory + Multiparameter Persistence Magnus Botnan (Vrije Universiteit Amsterdam) |
Tutorial on Multiparameter Persistence, Computation, and Applications |

August 14, 2018 |
Visualizing Two-parameter Persistence Matthew Wright (St. Olaf College) |
Tutorial on Multiparameter Persistence, Computation, and Applications |

August 14, 2018 |
Computing Minimal Presentations of Bipersistence Modules in Cubic Time Michael Lesnick (Princeton University) |
Tutorial on Multiparameter Persistence, Computation, and Applications |

August 14, 2018 |
Statistics for a Computational Topologist, Part I Brittany Terese Fasy (Montana State University) |
Tutorial on Multiparameter Persistence, Computation, and Applications |

August 15, 2018 |
Multiparameter Interleavings Magnus Botnan (Vrije Universiteit Amsterdam) |
Tutorial on Multiparameter Persistence, Computation, and Applications |

August 15, 2018 |
Software Tutorial Michael Lesnick (Princeton University), Matthew Wright (St. Olaf College) |
Tutorial on Multiparameter Persistence, Computation, and Applications |

August 15, 2018 |
Computation with Degree-Rips Bifiltrations Roy Zhao (University of California, Berkeley) |
Tutorial on Multiparameter Persistence, Computation, and Applications |

August 15, 2018 |
Statistics for a Computational Topologist Part II Brittany Terese Fasy (Montana State University) |
Tutorial on Multiparameter Persistence, Computation, and Applications |

August 15, 2018 |
Two-Parameter Persistence for Virtual Ligand Screening Bryn Keller (Intel Corporation) |
Tutorial on Multiparameter Persistence, Computation, and Applications |

August 13, 2018 |
Introduction to Persistent Homology Matthew Wright (St. Olaf College) |
Tutorial on Multiparameter Persistence, Computation, and Applications |

August 13, 2018 |
Applications of Persistence Lori Ziegelmeier (Macalester College) |
Tutorial on Multiparameter Persistence, Computation, and Applications |

August 13, 2018 |
Computation of Persistent Homology, Part I Ulrich Bauer (Technical University of Munich) |
Tutorial on Multiparameter Persistence, Computation, and Applications |

February 21, 2018 |
Dynamic landmark prediction for genetic mixture models Tanya Garcia (Texas A & M University) |
Frontiers in Forecasting |

February 21, 2018 |
Sparse Vector Autoregressive Models Christophe Croux (EDHEC Business School) |
Frontiers in Forecasting |

February 22, 2018 |
Extended ensemble Kalman filters for high-dimensional hierarchical state-space models Matthias Katzfuss (Texas A & M University) |
Frontiers in Forecasting |

February 22, 2018 |
Forecasting large collections of times series George Athanasopoulos (Monash University) |
Frontiers in Forecasting |

February 22, 2018 |
Interpretable Deep Learning Models for Forecasting Yan Liu (University of Southern California) |
Frontiers in Forecasting |

February 22, 2018 |
Panel: Advanced Business Analytics and Forecasting at BASF Sven Serneels (BASF Corporation) |
Frontiers in Forecasting |

February 22, 2018 |
High-dimensional Multivariate Time Series with Additional Structure Katherine Ensor (Rice University) |
Frontiers in Forecasting |

February 22, 2018 |
Spectral analysis of high-dimensional time series with applications to the mean-variance frontier Alexander Aue (University of California, Davis) |
Frontiers in Forecasting |

February 23, 2018 |
Conditional Adaptive Bayesian Spectral Analysis of Nonstationary Biomedical Time Series Robert Krafty (University of Pittsburgh) |
Frontiers in Forecasting |

February 22, 2018 |
Factor Augmented Vector Autoregressive Models under High Dimensional Scaling George Michailidis (University of Florida) |
Frontiers in Forecasting |

February 21, 2018 |
A longitudinal Bayesian model for spectral analysis of neuroimaging time series data Mark Fiecas (University of Minnesota, Twin Cities) |
Frontiers in Forecasting |

February 22, 2018 |
Methods for estimating network change points for multivariate time series Ivor Cribben (University of Alberta) |
Frontiers in Forecasting |

February 21, 2018 |
Predictive effect of economic and market variations on structural breaks in credit market Haipeng Xing (State University of New York, Stony Brook (SUNY)) |
Frontiers in Forecasting |

February 23, 2018 |
Models for Time Series of Counts with Shape Constraints Richard Davis (Columbia University) |
Frontiers in Forecasting |

February 23, 2018 |
High-dimensiona Classification for Spatially Dependent Data Tapabrata (Taps) Maiti (Michigan State University) |
Frontiers in Forecasting |

February 23, 2018 |
Sequential change-point detection based on nearest neighbors Hao Chen (University of California, Davis) |
Frontiers in Forecasting |

February 21, 2018 |
Global multivariate point pattern models for rain type occurrence and its extension to spatio-temporal domain Mikyoung Jun (Texas A & M University) |
Frontiers in Forecasting |

February 23, 2018 |
High-Dimensional Bayesian Geostatistics Sudipto Banerjee (University of California, Los Angeles) |
Frontiers in Forecasting |

February 21, 2018 |
Learning Connectivity Networks from High-Dimensional Point Processes Ali Shojaie (University of Washington) |
Frontiers in Forecasting |

February 23, 2018 |
Lensing and de-lensing the cosmic microwave background Ethan Anderes (University of California, Davis) |
Frontiers in Forecasting |

February 21, 2018 |
Variable Targeting and Reduction in High-Dimensional Vector Autoregressions Tucker McElroy (U.S. Bureau of the Census) |
Frontiers in Forecasting |

February 21, 2018 |
Semi-parametric Dynamic Max-copula Model for Multivariate Time Series Zhengjun Zhang (University of Wisconsin, Madison) |
Frontiers in Forecasting |

May 29, 2018 |
Modeling Prion Replication within a Growing Yeast Population Suzanne Sindi (University of California, Merced) |
Workshop for Women in Mathematical Biology |

May 29, 2018 |
A Mathematical Model for Enzyme Clustering in Glucose Metabolism Hye-Won Kang (University of Maryland Baltimore County) |
Workshop for Women in Mathematical Biology |

May 30, 2018 |
Variability of Calcium Dynamics in Brain Astrocyte Cells Alla Borisyuk (The University of Utah) |
Workshop for Women in Mathematical Biology |

May 30, 2018 |
Piecewise smooth maps for the circadian modulation of sleep-wake dynamics Victoria Booth (University of Michigan) |
Workshop for Women in Mathematical Biology |

May 30, 2018 |
Direct and indirect effects of species interactions in disease systems Zoi Rapti (University of Illinois at Urbana-Champaign) |
Workshop for Women in Mathematical Biology |

May 30, 2018 |
Glioblastoma recurrence and the role of MGMT promoter methylation Katie Storey (University of Minnesota, Twin Cities) |
Workshop for Women in Mathematical Biology |

May 30, 2018 |
Multiscale Modeling of Axonal Cytoskeleton Dynamics in Diseases Chuan Xue (The Ohio State University) |
Workshop for Women in Mathematical Biology |

May 30, 2018 |
Cytoskeletal mechanics of asymmetrically dividing cells: a mathematical modelling perspective Blerta Shtylla (Pomona College) |
Workshop for Women in Mathematical Biology |

May 31, 2018 |
Embracing complexity of the tumor microenvironment for personalized medicine Katarzyna Rejniak (Moffitt Cancer Center) |
Workshop for Women in Mathematical Biology |

May 31, 2018 |
A Mathematical Model of the Bivalent Binding of Thrombin to Fibrin Karin Leiderman (Colorado School of Mines) |
Workshop for Women in Mathematical Biology |

May 31, 2018 |
Flagellated micro-swimmers in a viscous fluid Sookkyung Lim (University of Cincinnati) |
Workshop for Women in Mathematical Biology |

May 29, 2018 |
Parameter identifiability and uncertainty in modeling infectious disease interventions Marisa Eisenberg (University of Michigan) |
Workshop for Women in Mathematical Biology |

May 29, 2018 |
Parameter uncertainty quantification using surrogate models applied to a spatial model of yeast mating polarization Ching-Shan Chou (The Ohio State University) |
Workshop for Women in Mathematical Biology |

May 29, 2018 |
Identifying robust cancer treatment protocols from small experimental datasets Jana Gevertz (The College of New Jersey) |
Workshop for Women in Mathematical Biology |

March 07, 2018 |
Virtual Patients Derived from the CareLink Database Benyamin Grosman (Medtronic) |
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins |

March 07, 2018 |
Brain clouds and Diffeomorphimetry in the soft condensed matter continuum Michael Miller (Johns Hopkins University) |
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins |

March 07, 2018 |
Incorporating simulated virtual patient outcomes as prior information in medical device clinical trials Adam Himes (Medtronic) |
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins |

March 08, 2018 |
Physics-Constrained Data-Driven Modeling : A Vision for Prediction, Design and Operation of Complex Systems Karthik Duraisamy (University of Michigan) |
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins |

March 08, 2018 |
Using Simulations for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction Garrett Goh (Pacific Northwest National Laboratory) |
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins |

March 06, 2018 |
Enabling High-Fidelity Digital Twins of Critical Assets via Reduced Order Modeling David Knezevic (Akselos) |
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins |

March 06, 2018 |
Connecting physics based and data driven models: the best of two worlds Herman van der Auweraer (Siemens) |
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins |

March 06, 2018 |
Predicting Rare Events in Complex Systems Tuhin Sahai (United Technologies Corporation) |
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins |

March 06, 2018 |
Globally Optimal, Data-Driven Symbolic Discovery Lior Horesh (IBM) |
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins |

March 06, 2018 |
Understanding the Simulation Revolution Joe Walsh (ASSESS Initiative) |
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins |

March 07, 2018 |
Understanding and predicting physiological resistance with simulation and topological analysis Drew Pruett (University of Mississippi) |
Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins |

December 05, 2017 |
Snow Business: Scientific Computing in the Movies and Beyond Joseph Teran (University of California, Los Angeles) |
Public Lecture Series |

February 21, 2018 |
Impossible Objects: The Mathematics of 3D Illusions Kokichi Sugihara (Meiji University) |
Public Lecture Series |

October 27, 2017 |
Phaseless reconstruction: A frame theoretical approach, Part 1 Dongmian Zou (University of Minnesota, Twin Cities) |
Postdoc Seminar Series |

November 03, 2017 |
Phaseless reconstruction: A frame theoretical approach, Part 2 Dongmian Zou (University of Minnesota, Twin Cities) |
Postdoc Seminar Series |

November 10, 2017 |
Improved support recovery guarantees for the group Lasso with applications to structural health monitoring Mojtaba Elyaderani (3M) |
Postdoc Seminar Series |

September 22, 2017 |
Local Inversion-Free covariance estimation for Gaussian Spatial Processes Hossein Keshavarz (University of Minnesota, Twin Cities) |
Postdoc Seminar Series |

November 17, 2017 |
Optimal Control of Nonholonomic Mechanical Systems Stuart Rogers (University of Minnesota, Twin Cities) |
Postdoc Seminar Series |

December 01, 2017 |
Lecture Stuart Rogers (University of Minnesota, Twin Cities) |
Postdoc Seminar Series |

September 29, 2017 |
Online change-point detection in high dimensional Gaussian graphical models Hossein Keshavarz (University of Minnesota, Twin Cities) |
Postdoc Seminar Series |