Flexible modeling of multiple nonlinear longitudinal trajectories with censored and non-ignorable missing outcomes

TI Lin, WL Wang - Statistical Methods in Medical Research, 2023 - journals.sagepub.com
Multivariate nonlinear mixed-effects models (MNLMMs) have become a promising tool for
analyzing multi-outcome longitudinal data following nonlinear trajectory patterns. However …

Weibull Distributive Feature Scaling Multivariate Censored Extreme Learning Classification for Malicious IoT Network Traffic Detection

K Sudhakar, S Senthilkumar - IETE Journal of Research, 2024 - Taylor & Francis
Malicious Network Traffic identification is the major problems in Internet of Things (IoT)
infrastructure. From fast growth and popularization of IoT, threats and attacks in these …

Estimating linear mixed effect models with non-normal random effects through saddlepoint approximation and its application in retail pricing analytics

H Chen, L Han, A Lim - Journal of Applied Statistics, 2024 - Taylor & Francis
ABSTRACT Linear Mixed Effects (LME) models are powerful statistical tools that have been
employed in many different real-world applications such as retail data analytics, marketing …

Bayesian Analysis of Censored Linear Mixed‐Effects Models for Heavy‐Tailed Irregularly Observed Repeated Measures

K Zhong, FL Schumacher, LM Castro… - Statistics in …, 2025 - Wiley Online Library
The use of mixed‐effect models to understand the evolution of the human immunodeficiency
virus (HIV) and the progression of acquired immune deficiency syndrome (AIDS) has been …

Moments and random number generation for the truncated elliptical family of distributions

KAL Valeriano, CE Galarza, LA Matos - Statistics and Computing, 2023 - Springer
This paper proposes an algorithm to generate random numbers from any member of the
truncated multivariate elliptical family of distributions with a strictly decreasing density …