Extracting Declarative and Procedural Knowledge from Documents and Videos on the Web

Theory and Methods for Tensor Covariance Estimation

Yang Chen Analyzing Single-Molecule Protein Transportation Experiments via Hierarchical Hidden Markov Models Donald B. Rubin Some Thoughts about Causal Inference

Central Limit Theorems and Bootstrap in High Dimensions

Dependence Measures: A Perspective

Gambling and Statistics: Beyond the Games Registration required for presentation (free)

Predicting the Cognitive Status of an Aging Population

A Swarm Intelligence Based (SIB) Optimization Method for Design of Experiments (more information)

Jun Zhang Information Geometry: From Divergence Functions to Geometric Structures

Bayesian Mass Estimates of the Galaxy: Incorporating Incomplete Data

Redesign of Care for Patients at High Risk of Hospitalization in a Reforming U.S. Healthcare System: Rationale for a CMMI Innovation Challenge Project

Title: Some Statistical Aspects of Uncertainty Quantification Abstract: Computer simulations, such as computational fluid dynamics, finite element analysis, agent-based models and multi-physics codes, are widely used in science, engineering and business for studying complex phenomena. As simulation models are never perfect and possess various uncertainties, including random initial condition and boundary conditions, input uncertainty and model discrepancy, uncertainty quantification (UQ) plays a big role in simulation-based decision-making. Without a rigorous mathematical framework for UQ in... Read more about CMSA Talk: Peter Qian

On Gaussian Process Models for High-Dimensional Geostatistical Datasets

Classifying Galaxies using a Data-Driven Approach

Interactive ML for People: The Small Data Problem