16 citations · 38 across the 11 of their papers we have counts for
11 papers
Testing hypotheses via orthogonalization
Ameer Dharamshi, Runjia Zou, Daniela Witten
Classical hypothesis testing frameworks break down in contemporary settings in which null hypotheses are increasingly abstract, the same data are used to both generate and test hyp…
Estimating Residential Displacement in the Central Puget Sound Region using Household Survey Data
Ameer Dharamshi, Mary Richards, Suzanne Childress +2
Housing instability is a persistent challenge faced by households in cities across the United States. In worst-case scenarios, households are displaced from their residences and fo…
Exact variance estimation for model-assisted survey estimators using U- and V-statistics
Ameer Dharamshi, Peter Gao, Jon Wakefield
Model-assisted estimation combines sample survey data with auxiliary information to increase precision when estimating finite population quantities. Accurately estimating the varia…
Thinning a Wishart Random Matrix
Ameer Dharamshi, Anna Neufeld, Lucy L. Gao +2
Recent work has explored data thinning, a generalization of sample splitting that involves decomposing a (possibly matrix-valued) random variable into independent components. In th…
Small Area Estimation of Education Levels in Low- and Middle-Income Countries
Yunhan Wu, Ameer Dharamshi, Jon Wakefield
Education is a key driver of social and economic mobility, yet disparities in attainment persist, particularly in low- and middle-income countries (LMICs). Existing indicators, suc…
Decomposing Gaussians with Unknown Covariance
Ameer Dharamshi, Anna Neufeld, Lucy L. Gao +2
Common workflows in machine learning and statistics rely on the ability to partition the information in a data set into independent portions. Recent work has shown that this may be…
Discussion of "Data fission: splitting a single data point"
Anna Neufeld, Ameer Dharamshi, Lucy L. Gao +2
Leiner et al. [2023] introduce an important generalization of sample splitting, which they call data fission. They consider two cases of data fission: P1 fission and P2 fission. Wh…
Jointly Estimating Subnational Mortality for Multiple Populations
Ameer Dharamshi, Monica Alexander, Celeste Winant +1
Understanding patterns in mortality across subpopulations is essential for local health policy decision making. One of the key challenges of subnational mortality rate estimation i…
Generalized Data Thinning Using Sufficient Statistics
Ameer Dharamshi, Anna Neufeld, Keshav Motwani +3
Our goal is to develop a general strategy to decompose a random variable into multiple independent random variables, without sacrificing any information about unknown parameter…
Data thinning for convolution-closed distributions
Anna Neufeld, Ameer Dharamshi, Lucy L. Gao +1
We propose data thinning, an approach for splitting an observation into two or more independent parts that sum to the original observation, and that follow the same distribution as…
Sampling by Divergence Minimization
Ameer Dharamshi, Vivian Ngo, Jeffrey S. Rosenthal
We introduce a Markov Chain Monte Carlo (MCMC) method that is designed to sample from target distributions with irregular geometry using an adaptive scheme. In cases where targets…