Seminar Archive

Generalized Quadratic Discriminant Analysis
  1. April 24, 2024 - 3:30pm to 4:45pm
Seminar
Fake Identity Image Verification Using Deep Learning
  1. April 17, 2024 - 3:30pm to 4:30pm
Seminar
Machine Learning in Asset Management using Density Networks
  1. April 3, 2024 - 3:30pm to 4:45pm
Department Seminar
On Excess Risk Convergence Rates of Neural Network Classifiers
  1. March 18, 2024 - 3:30pm to 4:45pm
Department Seminar
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information
  1. March 13, 2024 - 3:30pm to 4:45pm
Department Seminar Series
Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation
  1. March 12, 2024 - 3:30pm to 4:45pm
Department Seminar
Bayesian Model Inference: Theory, Computation and Practice
  1. March 6, 2024 - 3:30pm to 4:45pm
CFMAR: Occupied Processes
  1. February 26, 2024 - 3:30pm to 4:30pm
CFMAR Seminar Series
Large-scale Interactions between Urbanization and Climate Change over the 21st Century – A Data-driven Spatiotemporal Modeling Investigation
  1. February 21, 2024 - 3:30pm to 4:45pm
Seminar
Using spatial data science to uncover unequal impacts of climate change with a focus on health and wellbeing in low-income groups
  1. January 31, 2024 - 3:30pm to 4:45pm
Using spatial data science to uncover unequal impacts of climate change with a focus on health and wellbeing in low-income countries
  1. January 31, 2024 - 3:30pm to 4:45pm
Seminar
Approximate Bayesian Computations to fit and compare insurance loss models
  1. December 6, 2023 - 3:30pm to 4:30pm
Seminar
Parameter Restrictions for the Sake of Identification: Is There Utility in Asserting That Perhaps a Restriction Holds?
  1. November 29, 2023 - 3:30pm to 4:45pm
ISM-UCL-UCSB-MQ WORKSHOP: Stochastic Modelling in Climate Risk: Financial Mathematics and Economics
  1. November 21, 2023 - 12:00am to November 23, 2023 - 12:00am
Assessing Portfolio Diversification via Two-Sample Graph Kernel Inference
  1. November 15, 2023 - 3:30pm to 4:45pm
Statistical foundations of deep generative models
  1. November 8, 2023 - 3:30pm to 4:30pm
Graph Laplacian Learning for Exponential Family Noise and Product Graphs
  1. November 1, 2023 - 3:30pm to 4:45pm
Selective Inference with Randomized Group LASSO estimators.
  1. October 25, 2023 - 3:30pm to 4:45pm
Bayesian inference in high-dimensional mixed frequency regression and VAR models
  1. October 18, 2023 - 3:30pm to 4:30pm
James-Stein for Eigenvectors: Shrinkage of Principal Components.
  1. October 11, 2023 - 3:30pm to 4:45pm