Robust calibration of hierarchical population models for heterogeneous cell populations
نویسندگان
چکیده
منابع مشابه
A visual analytics approach for models of heterogeneous cell populations
In recent years, cell population models have become increasingly common. In contrast to classic single cell models, population models allow for the study of cell-to-cell variability, a crucial phenomenon in most populations of primary cells, cancer cells, and stem cells. Unfortunately, tools for in-depth analysis of population models are still missing. This problem originates from the complexit...
متن کاملStrategy for constructing robust multivariate calibration models
In multivariate calibrations usually a minimal residual error in the model’s predictions is aimed at, while generally less attention is paid to the robustness of the model with respect to changes in instrumentation, laboratory conditions, or sample composition. In this paper, we propose a strategy for selecting a multivariate calibration model which possesses a small prediction error and, simul...
متن کاملHierarchical Bayesian ARX models for robust inference
Gaussian innovations are the typical choice in most ARX models but using other distributions such as the Student’s t could be useful. We demonstrate that this choice of distribution for the innovations provides an increased robustness to data anomalies, such as outliers and missing observations. We consider these models in a Bayesian setting and perform inference using numerical procedures base...
متن کاملCalibration of Distributionally Robust Empirical Optimization Models
JUN-YA GOTOH, MICHAEL JONG KIM, AND ANDREW E.B. LIM Department of Industrial and Systems Engineering, Chuo University, Tokyo, Japan. Email: [email protected] Sauder School of Business, University of British Columbia, Vancouver, Canada. Email: [email protected] Departments of Decision Sciences and Finance, NUS Business School, National University of Singapore, Singapore. Email: andr...
متن کاملRobust tests for testing the parameters of a normal population
This article aims to provide a simple robust method to test the parameters of a normal population by using the new diagnostic tool called the “Forward Search” (FS) method. The most commonly used procedures to test the mean and variance of a normal distribution are Student’s t test and Chi-square test, respectively. These tests suffer from the presence of outliers. We introduce the FS version of...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Theoretical Biology
سال: 2020
ISSN: 0022-5193
DOI: 10.1016/j.jtbi.2019.110118