17 citations · 17 across the 4 of their papers we have counts for
4 papers
Efficient Integration of Aggregate Data and Individual Patient Data in One-Way Mixed Models
Neha Agarwala, Junyong Park, Anindya Roy
Often both Aggregate Data (AD) studies and Individual Patient Data (IPD) studies are available for specific treatments. Combining these two sources of data could improve the overal…
Note on Mean Vector Testing for High-Dimensional Dependent Observations
Seonghun Cho, Johan Lim, Deepak Nag Ayyala +2
For the mean vector test in high dimension, Ayyala et al.(2017,153:136-155) proposed new test statistics when the observational vectors are M dependent. Under certain conditions, t…
Fixed support positive-definite modification of covariance matrix estimators via linear shrinkage
Young-Geun Choi, Johan Lim, Anindya Roy +1
In this work, we study the positive definiteness (PDness) problem in covariance matrix estimation. For high dimensional data, many regularized estimators are proposed under structu…
Mean vector testing for high dimensional dependent observations
Deepak Nag Ayyala, Junyong Park, Anindya Roy
When testing for the mean vector in a high dimensional setting, it is generally assumed that the observations are independently and identically distributed. However if the data are…