The accurate prediction of patient prognosis is a critical challenge in clinical practice.
Applications
The standard Monte Carlo method produces estimates of the Fisher information that can be biased when the Monte-Carlo noise is non-negligible.
Methodology Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics Data Analysis, Statistics and Probability
Family history is considered a risk factor for many diseases because it implicitly captures shared genetic, environmental and lifestyle factors.
Applications
Our new methods are provably robust, with substantially less loss of coverage when exchangeability is violated due to distribution drift or other challenging features of real data, while also achieving the same coverage guarantees as existing conformal prediction methods if the data points are in fact exchangeable.
Methodology
Bayesian additive regression trees (BART) is a non-parametric method to approximate functions.
Computation
The Scientific Registry of Transplant Recipients (SRTR) system has become a rich resource for understanding the complex mechanisms of graft failure after kidney transplant, a crucial step for allocating organs effectively and implementing appropriate care.
Methodology
UltraNest is a general-purpose Bayesian inference package for parameter estimation and model comparison.
Computation Instrumentation and Methods for Astrophysics
Currently available relational event models (REM) are not well suited to the analysis of polyadic interaction networks because they specify event rates for sets of receivers as functions of dyadic covariates associated with the sender and one receiver at a time.
Applications Social and Information Networks
We present on-line algorithms for computing approximations of rank-based statistics that give high accuracy, particularly near the tails of a distribution, with very small sketches.
Sequential Quantile Estimation Computation Data Structures and Algorithms
We extend conformal prediction methodology beyond the case of exchangeable data.
Methodology