collaborators

5 papers

stat.ME2026

A Bayesian Hidden Markov Model with Singh--Maddala Emission Distributions for Heavy-Tailed Regime-Switching Time Series

Safaa K. Kadhem

Heavy-tailed time series with regime switching arise in environmental, financial, and engineering applications, yet conventional emission distributions such as Gaussian, Gamma, or…

stat.ME2026

On WAIC for Dependent Data: A Covariance-Corrected Framework with Linear-Time Complexity

Safaa K. Kadhem

The Widely Applicable Information Criterion (WAIC) is a cornerstone of Bayesian model selection, but its conditional independence assumption renders it inappropriate for sequential…

astro-ph.SR2026

Two Be or Not Two Be: A New Companion detection for HD 52244 using HST/FGS

Keefe J. Kamp, Saida M. Caballero-Nieves, Edmund P. Nelan +3

In this paper we present a newly detected companion to the Be star, HD 52244 (B2IVnpe), using the Fine Guidance Sensors (FGSs) on the Hubble Space Telescope (HST). In fall 2021, HS…

stat.ME2026

Balancing Efficiency and Feasibility: A Sensitivity Analysis of the Augmentation Parameter in the Finite Selection Model

Safaa K. Kadhem

This paper investigates the role of the augmentation parameter in the Finite Selection Model (FSM) and its impact on estimator performance. Through a comprehensive Monte Carlo simu…

stat.ME2025

Covariance-Corrected WAIC for Bayesian Sequential Data Models

Safaa K. Kadhem

This paper introduces and develops a theoretical extension of the widely applicable information criterion (WAIC), called the Covariance-Corrected WAIC (CC-WAIC), that applied for B…