1 citations · 1 across the 3 of their papers we have counts for
4 papers
Estimating Time-Varying Epidemic Severity Rates with Adaptive Deconvolution
Jeremy Goldwasser, Addison J. Hu, Alyssa Bilinski +2
Several key metrics in public health convey the probability that a primary event will lead to a more serious secondary event in the future.Several key metrics in public health conv…
A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization
Haoxin Liu, Chenghao Liu, B. Aditya Prakash
Large language models (LLMs), with demonstrated reasoning abilities across multiple domains, are largely underexplored for time-series reasoning (TsR), which is ubiquitous in the r…
The Voronoigram: Minimax Estimation of Bounded Variation Functions From Scattered Data
Addison J. Hu, Alden Green, Ryan J. Tibshirani
We consider the problem of estimating a multivariate function of bounded variation (BV), from noisy observations made at random design points $x_i \in…
Multivariate Trend Filtering for Lattice Data
Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Addison J. Hu +1
We study a multivariate version of trend filtering, called Kronecker trend filtering or KTF, for the case in which the design points form a lattice in dimensions. KTF is a natu…