Posts by Collection

conferences

CSEye: A Proposed Solution for Accurate and Accessible One-to-Many Face Verification

Presented at AAAI-2019 Student Abstract Track

Ameer Dharamshi, Rosie Yuyan Zou

A Bayesian Hierarchical Model for Jointly Estimating Subnational Mortality for Multiple Populations

Presented at PAA 2022, 6th HMD Symposium, EPC 2022

Ameer Dharamshi, Monica Alexander, Celeste Winant, Magali Barbieri

portfolio

Precious Metals Minimum Variance Index

The Construction of a Minimum Variance Index to Track Precious Metals, Currencies, and Cryptocurrencies.

The Farming Problem

Comparing the Performance of the Simplex Method and Dantzig-Wolfe Decomposition.

Gadsby Text Mining

A Story of Over 50,000 Words Without Using the Letter ‘E’…or is it?

Solving the Vehicle Routing Problem with Simulated Annealing

Using Simulation to Solve for Shortest Paths.

Overparameterizing Polynomial Interpolation

To infinity and beyond!

Modelling Airbnb Listing Prices in Toronto

Bayesian hierarchical models using a Room Type top-level.

preprints

A Bayesian cohort model for estimating out-of-school rates and populations

Ameer Dharamshi, Manos Antoninis, Silvia Montoya, Bilal Barakat

Exact variance estimation for model-assisted survey estimators using U- and V-statistics

Ameer Dharamshi, Peter Gao, Jon Wakefield

publications

A Bayesian model for estimating Sustainable Development Goal indicator 4.1.2: School completion rates

Journal of the Royal Statistical Society (Series C), 2022

Ameer Dharamshi, Bilal Barakat, Leontine Alkema, Manos Antoninis

Sampling by Divergence Minimization

Communications in Statistics - Simulation and Computation, 2023

Ameer Dharamshi, Vivian Ngo, Jeffrey S. Rosenthal

Data thinning for convolution-closed distributions

Journal of Machine Learning Research, 2024

Anna Neufeld, Ameer Dharamshi, Lucy L. Gao, Daniela Witten

Jointly Estimating Subnational Mortality for Multiple Populations

Demographic Research, 2025

Ameer Dharamshi, Monica Alexander, Celeste Winant, Magali Barbieri

Generalized Data Thinning Using Sufficient Statistics

Journal of the American Statistical Association (Theory & Methods), 2025

Ameer Dharamshi, Anna Neufeld, Keshav Motwani, Lucy L. Gao, Daniela Witten, Jacob Bien

Discussion of ‘Data fission: splitting a single data point’

Journal of the American Statistical Association (Theory & Methods), 2025

Anna Neufeld, Ameer Dharamshi, Lucy L. Gao, Daniela Witten, Jacob Bien

Decomposing Gaussians with Unknown Covariance

To appear in Biometrika, 2025+

Ameer Dharamshi, Anna Neufeld, Lucy L. Gao, Jacob Bien, Daniela Witten

Thinning a Wishart Random Matrix