Bayesian hierarchical piecewise regression models: a tool to detect trajectory divergence between groups in long-term observational studies

M Buscot, SS Wotherspoon, CG Magnussen… - BMC Medical Research …, 2017 - Springer
Background Bayesian hierarchical piecewise regression (BHPR) modeling has not been
previously formulated to detect and characterise the mechanism of trajectory divergence …

Optimal Resource Allocation Using Multi-Armed Bandits

IA Botosan, P Bilokon - 2024 - papers.ssrn.com
Efficient resource allocation is crucial across diverse sectors, from finance and public policy
to industrial management. Despite advances in financial economics, exemplified by the …

Change Point Detection Methods for Locating Activations in Functional Neuronal Images

C Candemir, K Oğuz - Bilecik Şeyh Edebali Üniversitesi Fen …, 2022 - dergipark.org.tr
The most common analysis for fMRI images is activation detection, in which the purpose is to
find the locations in the brain that respond to specific functions, such as visual processing or …

A comparative study on parameter selection and outlier removal for change point detection in time series

C Candemir, K Oğuz - 2017 European Conference on …, 2017 - ieeexplore.ieee.org
Change point analysis is an efficient method for understanding the unexpected behaviour of
the data used in many different disciplines. Although the literature contains a variety of …

Detection and evaluation of activation instances as change points in functional MR images

C Candemir, K Oğuz, S Korukoğlu… - 2018 26th Signal …, 2018 - ieeexplore.ieee.org
Change point analysis is an efficient method for understanding the unexpected behavior of
the data used in many different disciplines including medical imaging. It is important to find …

Análisis de puntos de cambio en series de tiempo

S Herrera Cortés, S HERRERA CORTES - 2019 - repositorioinstitucional.buap.mx
Abstract" El pronóstico de series de tiempo tiene una historia extensa, su objetivo es
recolectar y estudiar rigurosamente las observaciones pasadas de una serie temporal para …

[PDF][PDF] Longitudinal analysis techniques in epidemiology: how prospective cohort data can be used to understand pathways to cardiometabolic disease outcomes …

MJ Buscot - 2017 - figshare.utas.edu.au
Longitudinal data, collected on the same participants at multiple times during their lives or
throughout an intervention, are common in epidemiological studies1-4. Longitudinally …

Methods in statistical change-point analysis

RMK Steward - 2015 - search.proquest.com
We investigate the statistical change-point problem in a variety of settings. In particular, we
develop a number of statistical models that may be applied to the problem of detecting the …

[引用][C] Change Point Detection Methods for Locating Activations in fMRI

K Oğuz, C Candemir