6 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…
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…
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…