Department of Statistics Event Calendar
First 100 matches found
-
These Brown Bags are discussions in which those who teach, have experience teaching, or care about education in general want to share information, materials, resources, tips, advice, and other experiences. All Brown Bags take place in 122 Illini Hall on the first Wednesday of each month, beginning in August. Please bring your own lunches.
-
Title: “Infrastructure for Teaching - RStudio Cloud” Abstract: Statistics frequently requires computational knowledge for modern applications. The prevalent way of teaching statistics with computing relies upon students recreating a prescribed learning environment on their own computer. This talk focuses on new cloud-based methods for designing learning environments
-
These Brown Bags are discussions in which those who teach, have experience teaching, or care about education in general want to share information, materials, resources, tips, advice, and other experiences. All Brown Bags take place in 122 Illini Hall on the first Wednesday of each month, beginning in August. Please bring your own lunches.
-
Spatial Temporal Satellite Data Imputation Based on Sparse Functional Data Analysis
-
Understanding the Effects of Predictor Variables for Explainable Supervised Learning Models
-
"On the consistency of spectral clustering for graphs and hypergraphs"
-
"Do GRE's Predict Physics PhDs? A Case Study in Damned Lies and Statistics"
-
These Brown Bags are discussions in which those who teach, have experience teaching, or care about education in general want to share information, materials, resources, tips, advice, and other experiences. All Brown Bags take place in 122 Illini Hall on the first Wednesday of each month, beginning in August. Please bring your own lunches.
-
These Brown Bags are discussions in which those who teach, have experience teaching, or care about education in general want to share information, materials, resources, tips, advice, and other experiences. All Brown Bags take place in 122 Illini Hall on the first Wednesday of each month, beginning in August. Please bring your own lunches.
-
"Developing Apps and Programs to Encourage Continuous, On demand Learning”
-
"The Neyman-Pearson Paradigm for Asymmetric Binary Classification"
-
"A 'Complete' History of Delta Method"
-
"Why Aren't Network Summary Statistics Accompanied by Uncertainty Statements?"
-
"A composite likelihood-based approach for change-point detection in spatio-temporal processes"
-
"Multi-scale models for non-stationary spatial datasets: Spatial statistics meets variable selection"
-
"Multiple isotonic regression: limit distribution theory and confidence intervals"
-
"Parametric Models for Distributions When Extremes Are of Interest"
-
"Uncoupled isotonic regression"
-
"A Scalable Approach to Empirical Bayes Inference and Bayesian Sensitivity Analysis via Empirical Processes"
-
"2dFDR: a two-dimensional false discovery rate control for powerful confounder adjustment in omics association studies"
-
"Computer Model Emulation and Calibration Using Complex Spatial and Temporal Data"
-
"Predicting Disease Risk from Genomics Data"
-
"Probabilistic Approaches to Machine Learning on Tensor Data"
-
"High Quantile Regression for Tail Dependent Time Series"
-
"Rates of Approximation for CLT and Bootstrap in High Dimensions"
-
"A Distribution Free Conditional Independence Test with Applications to Causal Discovery"
-
"Student Performance in Curricula Centered on the Statistical Investigation Process"
-
"Motif Counting via Subgraph sampling"
-
"Adventures in sparsity and shrinkage with the normal means model"
-
"On Inference in Observational Studies"
-
"Precise Tradeoffs in Adversarial Training"
-
"Multimodal Neuroimaging Analysis"
-
"Noise-Induced Randomization in Regression Discontinuity Designs"
-
"A Tuning-free Robust and Efficient Approach to High-dimensional Regression"
-
"Marginal and multivariate rank-based tests of independence"
-
"Multiply robust estimation of causal effects under principal ignorability"
