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Description:: In this talk, I focus on the multivariate method of moments for parameter estimation. First from a theoretical standpoint, we show that in problems where the noise is high, the number of observations necessary to estimate parameters is dictated by the moments of the distribution. Second from a computational standpoint, we address the curse of di...
Creator:: Pereira, Joao (The University of Texas at Austin)
Created:: 2022-04-05
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2022-04-22

Description:: Value creation in private equity investment portfolios is fundamental to delivering results for PE customers. Our focus is in the energy and transportation sectors, and by having deep understanding of how these industries work, we explore applications where advanced analytics and better use of data can create more efficient operations and growth...
Creator:: Einset, Erik (Global Infrastructures Partners)
Created:: 2022-04-01
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2022-04-22

Description:: Photographs from University of Minnesota Duluth Theatre’s 2022 production of Pippin. Run dates: April 14-24, 2022. Venue: Marshall Performing Arts Center Mainstage Theatre. Director: Dennis F. Johnson. Cast list--Leading Player: Laura Carlson; Pippin: Nick Wright; Charlemagne: Regan Peterson; Fastrada: Thressa Schultz; Lewis: Trevor Hendrix; Cat...
Creator:: Montgomery, Derek
Created:: 2022-04
Contributed By:: Archives and Special Collections, Kathryn A. Martin Library, University of Minnesota Duluth
Page Count:: 33
Last Updated:: 2024-07-31

Description:: The assumption that high dimensional data is Gaussian is pervasive in many statistical procedures, due not only to its tail decay, but also to the level of analytic tractability this special distribution provides. We explore the relaxation of the Gaussian assumption in Single Index models and Shrinkage estimation using two tools that originate i...
Creator:: Goldstein, Larry (University of Southern California)
Created:: 2022-03-29
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2022-04-22

Description:: Multimorbidity, the coexistence of two or more health conditions, has become more prevalent as mortality rates in many countries have declined and their populations have aged. Multimorbidity presents significant difficulties for Clinical Decision Support Systems (CDSS), particularly in cases where recommendations from relevant clinical guideline...
Creator:: Michalowski, Martin (University of Minnesota, Twin Cities)
Created:: 2022-03-22
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2022-04-22

Description:: Adversarial training is a framework widely used by machine learning practitioners to enforce robustness of learning models. Despite the development of several computational strategies for adversarial training and some theoretical development in the broader distributionally robust optimization literature, there are still several theoretical quest...
Creator:: Garcia Trillos, Nicolas (University of Wisconsin, Madison)
Created:: 2022-03-01
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2022-04-22

Description:: Photographs from University of Minnesota Duluth Theatre’s 2022 production of Flying Solo, a series of one-person plays written or adapted and then performed by UMD students. There are three images from each play, plus a cast photo and a cast and crew photo for each of the three teams. The teams each performed their five plays on alternating nigh...
Creator:: Cowardin, David
Created:: 2022-03
Contributed By:: Archives and Special Collections, Kathryn A. Martin Library, University of Minnesota Duluth
Page Count:: 51
Last Updated:: 2024-07-31

Description:: Many diseases are complex heterogeneous conditions that affect multiple organs in the body and depend on the interplay between several factors that include molecular and environmental factors, thus requiring a holistic approach in understanding the complexity and heterogeneity. In this talk, I will present some of our current statistical and ma...
Creator:: Safo, Sandra (University of Minnesota, Twin Cities)
Created:: 2022-02-22
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2022-04-22

Description:: The game of football is undergoing a significant shift towards the quantitative. Much of the progress made in the analytics space can be attributed to play-by-play data and charting data. However, recent years have given rise to tracking data, which has opened the door for innovation that was not possible before. In this talk I will describe ho...
Creator:: Eager, Eric (ProFootballFocus
Created:: 2022-02-18
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2022-04-22

Description:: Clustering algorithms based on mean shift or spectral methods on graphs are ubiquitous in data analysis. However, in practice, these two types of algorithms are treated as conceptually disjoint: mean shift clusters based on the density of a dataset, while spectral methods allow for clustering based on geometry. In joint work with Nicolás ...
Creator:: Craig, Katy (University of California, Santa Barbara)
Created:: 2022-02-15
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2022-04-22