most citedQuISP: a Quantum Internet Simulation Package

73 citations

8 papers

quant-ph2021★ 73 cited

QuISP: a Quantum Internet Simulation Package

Ryosuke Satoh, Michal Hajdušek, Naphan Benchasattabuse +7

We present an event-driven simulation package called QuISP for large-scale quantum networks built on top of the OMNeT++ discrete event simulation framework. Although the behavior o…

stat.ML2021

A Framework for an Assessment of the Kernel-target Alignment in Tree Ensemble Kernel Learning

Dai Feng, Richard Baumgartner

Kernels ensuing from tree ensembles such as random forest (RF) or gradient boosted trees (GBT), when used for kernel learning, have been shown to be competitive to their respective…

stat.CO2021

Parmsurv: a SAS Macro for Flexible Parametric Survival Analysis with Long-Term Predictions

Han Fu, Shahrul Mt-Isa, Richard Baumgartner +1

Health economic evaluations often require predictions of survival rates beyond the follow-up period. Parametric survival models can be more convenient for economic modelling than t…

q-bio.BM2021★ 15 cited

Light Gradient Boosting Machine as a Regression Method for Quantitative Structure-Activity Relationships

Robert P. Sheridan, Andy Liaw, Matthew Tudor

In the pharmaceutical industry, where it is common to generate many QSAR models with large numbers of molecules and descriptors, the best QSAR methods are those that can generate t…

stat.ME2021

A unified framework for weighted parametric group sequential design (WPGSD)

Keaven M. Anderson, Zifang Guo, Jing Zhao +1

Group sequential design (GSD) is widely used in clinical trials in which correlated tests of multiple hypotheses are used. Multiple primary objectives resulting in tests with known…

stat.ME2020★ 2 cited

Tolerance and Prediction Intervals for Non-normal Models

Geoffrey S Johnson

A prediction interval covers a future observation from a random process in repeated sampling, and is typically constructed by identifying a pivotal quantity that is also an ancilla…

stat.ME2020

A Nonparametric Method for Value Function Guided Subgroup Identification via Gradient Tree Boosting for Censored Survival Data

Pingye Zhang, Junshui Ma, Xinqun Chen +1

In randomized clinical trials with survival outcome, there has been an increasing interest in subgroup identification based on baseline genomic, proteomic markers or clinical chara…

stat.ME2020

Survival Analysis Using a 5-Step Stratified Testing and Amalgamation Routine in Randomized Clinical Trials

Devan V. Mehrotra, Rachel Marceau West

Randomized clinical trials are often designed to assess whether a test treatment prolongs survival relative to a control treatment. Increased patient heterogeneity, while desirable…