5 citations · 9 across the 5 of their papers we have counts for
5 papers
Maximum Agreement Linear Predictors
Taeho Kim, Pierre Chausse, Matteo Bottai +4
This paper studies predictor functions motivated by maximizing a measure of agreement with the predictand. Specifically, it examines distributional properties and predictive perfor…
Density Deconvolution with Non-Standard Error Distributions: Rates of Convergence and Adaptive Estimation
Alexander Goldenshluger, Taeho Kim
It is a typical standard assumption in the density deconvolution problem that the characteristic function of the measurement error distribution is non-zero on the real line. While…
Prediction Regions for Poisson and Over-Dispersed Poisson Regression Models with Applications to Forecasting Number of Deaths during the COVID-19 Pandemic
T. KIm, B. Lieberman, G. Luta +1
Motivated by the current Coronavirus Disease (COVID-19) pandemic, which is due to the SARS-CoV-2 virus, and the important problem of forecasting daily deaths and cumulative deaths,…
Improved Multiple Confidence Intervals via Thresholding Informed by Prior Information
Taeho Kim, Edsel A. Pena
Consider a statistical problem where a set of parameters are of interest to a researcher. Then multiple confidence intervals can be constructed to infer the set of parameters simul…
Median Confidence Regions in a Nonparametric Model
Edsel A. Pena, Taeho Kim
The problem of constructing confidence regions for the median in the nonparametric measurement error model (NMEM) is considered. This problem arises in many settings, including inf…