output
20132024
most citedK-Adaptive Partitioning for Survival Data, with an Application to Cancer Staging

13 citations

5 papers

math.ST2024

Convergence rates for estimating multivariate scale mixtures of uniform densities

Arlene K. H. Kim, Gil Kur, Adityanand Guntuboyina

The Grenander estimator is a well-studied procedure for univariate nonparametric density estimation. It is usually defined as the Maximum Likelihood Estimator (MLE) over the class…

stat.ME2024★ 7 cited

Interval-censored linear quantile regression

Taehwa Choi, Seohyeon Park, Hunyong Cho +1

Censored quantile regression has emerged as a prominent alternative to classical Cox's proportional hazards model or accelerated failure time model in both theoretical and applied…

cs.AI2023★ 1 cited

Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms?

Chanhui Lee, Juhyeon Kim, Yongjun Jeong +9

Scaling laws have allowed Pre-trained Language Models (PLMs) into the field of causal reasoning. Causal reasoning of PLM relies solely on text-based descriptions, in contrast to ca…

cs.CL2023★ 4 cited

Analyzing FOMC Minutes: Accuracy and Constraints of Language Models

Wonseong Kim, Jan Frederic Spörer, Siegfried Handschuh

This research article analyzes the language used in the official statements released by the Federal Open Market Committee (FOMC) after its scheduled meetings to gain insights into…

stat.AP2013★ 13 cited

K-Adaptive Partitioning for Survival Data, with an Application to Cancer Staging

Soo-Heang Eo, Hyo Jeong Kang, Seung-Mo Hong +1

In medical research, it is often needed to obtain subgroups with heterogeneous survivals, which have been predicted from a prognostic factor. For this purpose, a binary split has o…