Statistics

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Statistical Inference for Policy Evaluation in Reinforcement Learning

Statistical Inference for Policy Evaluation in Reinforcement Learning

thesis posted on 2024-09-04

Uncertainty Quantification for Ill-Posed Inverse Problems in the Physical Sciences: Confidence Intervals via Optimization and Sampling

Uncertainty Quantification for Ill-Posed Inverse Problems in the Physical Sciences: Confidence Intervals via Optimization and Sampling

thesis posted on 2024-08-16

Michael Stanley

Advances in anytime-valid sequential inference

Advances in anytime-valid sequential inference

thesis posted on 2024-07-23

Ian Waudby-Smith

Exploring Gender Bias in Academic Job Descriptions - What influences masculine gender bias in job ads?

Exploring Gender Bias in Academic Job Descriptions - What influences masculine gender bias in job ads?

poster posted on 2024-06-28

Heterogeneity, Optimality, and Sensitivity in Causal Inference

Heterogeneity, Optimality, and Sensitivity in Causal Inference

thesis posted on 2024-05-08

Alexander McClean

Estimation of BVk functions from scattered data

Estimation of BVk functions from scattered data

thesis posted on 2023-12-20

FILES UNDER EMBARGO

The Role of Noise, Proxies, and Dynamics in Algorithmic Fairness

presentation posted on 2023-08-23

Nil-jana Akpinar

Uncertainty Quantification under Distribution Shifts

Uncertainty Quantification under Distribution Shifts

thesis posted on 2023-08-23

Aleksandr Podkopaev

Advances in Statistical Gene Networks

Advances in Statistical Gene Networks

thesis posted on 2023-08-23

Robust Inference: A Price of Misspecification and How to be Resilient

Robust Inference: A Price of Misspecification and How to be Resilient

thesis posted on 2023-08-23

Comparing Forecasters and Abstaining Classifiers

Comparing Forecasters and Abstaining Classifiers

thesis posted on 2023-06-27

Topics on Modeling High Dimensional Time Series Data

Topics on Modeling High Dimensional Time Series Data

thesis posted on 2023-06-12

Topics in Nonparametric Causal Inference

Topics in Nonparametric Causal Inference

thesis posted on 2023-05-17

High-dimensional Change Point Analysis for Categorical Data

High-dimensional Change Point Analysis for Categorical Data

thesis posted on 2023-05-17

Calibrated Conditional Density Models and Predictive Inference via Local Diagnostics

Calibrated Conditional Density Models and Predictive Inference via Local Diagnostics

thesis posted on 2023-05-17

Graphical Models: Selecting causal and statistical models

Graphical Models: Selecting causal and statistical models

thesis posted on 2023-04-27

Christopher Meek

A Decision Science Approach Towards Improving the Study of Adherence Information

A Decision Science Approach Towards Improving the Study of Adherence Information

thesis posted on 2023-03-03

Algorithms for Interpretable High-Dimensional Regression

Algorithms for Interpretable High-Dimensional Regression

thesis posted on 2023-02-28

On Some Problems in Nonparametric and Location-Scale Estimation

On Some Problems in Nonparametric and Location-Scale Estimation

thesis posted on 2023-01-31

Shamindra Shrotriya

Structured and Correlated Multi-Armed Bandits: Algorithms, Theory and Applications

Structured and Correlated Multi-Armed Bandits: Algorithms, Theory and Applications

thesis posted on 2023-01-23

Facets of regularization in high-dimensional learning: Cross-validation, risk monotonization, and model complexity

Facets of regularization in high-dimensional learning: Cross-validation, risk monotonization, and model complexity

thesis posted on 2022-12-15

Datasets for "The reliability of sampling to measure the weight of seized powder containing heroin"

dataset posted on 2022-11-28

Time Series Analysis in Drug Product Development and Statistical Forecasting

Time Series Analysis in Drug Product Development and Statistical Forecasting

thesis posted on 2022-11-16

Scaled Gradient Methods for Ill-conditioned Low-rank Matrix and Tensor Estimation

Scaled Gradient Methods for Ill-conditioned Low-rank Matrix and Tensor Estimation

thesis posted on 2022-11-16

Discovery of Functional Predictivity across Brain Regions from Local Field Potentials

Discovery of Functional Predictivity across Brain Regions from Local Field Potentials

thesis posted on 2022-10-07

Nonparametric methods for population size estimation

Nonparametric methods for population size estimation

thesis posted on 2022-05-19

Selective inference approaches for augmenting genetic association studies with multi-omics metadata

Selective inference approaches for augmenting genetic association studies with multi-omics metadata

thesis posted on 2022-05-04

Sensor Fusion Frameworks for Nowcasting

Sensor Fusion Frameworks for Nowcasting

thesis posted on 2022-05-04

Adaptive Efficient Histograms

Adaptive Efficient Histograms

thesis posted on 2022-05-04

Code and data accompanying “A universally applicable method of calculating confidence bands for ice nucleation spectra derived from droplet freezing experiments”

Code and data accompanying “A universally applicable method of calculating confidence bands for ice nucleation spectra derived from droplet freezing experiments”

dataset posted on 2022-04-28

Simulator-Enabled Conformal Prediction

Simulator-Enabled Conformal Prediction

thesis posted on 2022-04-22

Advances in Nonasymptotic and Nonparametric Inference

Advances in Nonasymptotic and Nonparametric Inference

thesis posted on 2021-12-16

Accounting for Changes in the Distribution of Data

Accounting for Changes in the Distribution of Data

thesis posted on 2021-11-18

Advances in Interactive Hypothesis Testing

Advances in Interactive Hypothesis Testing

thesis posted on 2021-11-04

Understanding Multilateral Sanctions using a Multi-way Network Perspective

Understanding Multilateral Sanctions using a Multi-way Network Perspective

thesis posted on 2021-10-11

Sana M. Lakdawala

Deaths in Pennsylvania Prisons

Deaths in Pennsylvania Prisons

thesis posted on 2021-10-11

Statistical Guarantees for Three Unconventional Estimators

Statistical Guarantees for Three Unconventional Estimators

thesis posted on 2021-09-16

Uncertainty Quantification in Simulation-based Inference

Uncertainty Quantification in Simulation-based Inference

thesis posted on 2021-08-09

Niccolo Dalmasso

Linkage of Early 1900s Irish Census Records: Exploring the Impact of Household Structure and Crowdsourced Labels

Linkage of Early 1900s Irish Census Records: Exploring the Impact of Household Structure and Crowdsourced Labels

thesis posted on 2021-04-23

Local Structure and Inference in Large Random Graphs

Local Structure and Inference in Large Random Graphs

thesis posted on 2020-12-18