Results 31 to 40 of about 10,617,293 (333)

Greedy Online Change Point Detection

2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), 2023
Accepted at IEEE MLSP ...
Ho, Jou-Hui, Tobar, Felipe
openaire   +2 more sources

Bayesian Framework for Multi-Wave COVID-19 Epidemic Analysis Using Empirical Vaccination Data

Mathematics, 2021
The COVID-19 pandemic has highlighted the necessity of advanced modeling inference using the limited data of daily cases. Tracking a long-term epidemic trajectory requires explanatory modeling with more complexities than the one with short-time forecasts,
Jiawei Xu, Yincai Tang
doaj   +1 more source

Power of change-point tests for long-range dependent data [PDF]

, 2017
We investigate the power of the CUSUM test and the Wilcoxon change-point tests for a shift in the mean of a process with long-range dependent noise. We derive analytic formulas for the power of these tests under local alternatives.
Dehling, Herold, Rooch, Aeneas, Taqqu, Murad S.   +2 more
core   +1 more source

Bootstrap Confidence Intervals for Multiple Change Points Based on Two-Stage Procedures

Entropy
This paper investigates the construction of confidence intervals for multiple change points in linear regression models. First, we detect multiple change points by performing variable selection on blocks of the input sequence; second, we re-estimate ...
Li Hou, Baisuo Jin, Yuehua Wu, Fangwei Wang   +3 more
doaj   +1 more source

Two-Sample Gradual Change Analysis

Revstat Statistical Journal, 2017
We propose two-sample gradual change analysis motivated by gender differences observed in a real data set containing jumping speeds of 432 girls and 364 boys aged 6 to 19 years. Looking at this data set from the point of view of change-point analysis is
Zdenĕk Hlávka , Marie Hušková
doaj   +1 more source

rbrothers: R Package for Bayesian Multiple Change-Point Recombination Detection. [PDF]

, 2013
Phylogenetic recombination detection is a fundamental task in bioinformatics and evolutionary biology. Most of the computational tools developed to attack this important problem are not integrated into the growing suite of R packages for statistical ...
Chattopadhyay, Sujay, Irvahn, Jan, Minin, Vladimir N, Sokurenko, Evgeni V   +3 more
core   +3 more sources

Change‐point analysis in financial networks [PDF]

Stat, 2020
A major impact of globalization has been the information flow across the financial markets rendering them vulnerable to financial contagion. Research has focused on network analysis techniques to understand the extent and nature of such information flow. It is now an established fact that a stock market crash in one country can have a serious impact on
Sayantan Banerjee, Kousik Guhathakurta
openaire   +2 more sources

Skewed Multifractal Cross-Correlations Between Green Bond Index and Energy Futures Markets: A New Perspective Based on Change Point

Fractal and Fractional
This study is the first to use the Bayesian Estimator of Abrupt Change, Seasonality, and Trend (BEAST) algorithm to detect trend change points in the nexuses between the green bond index (Green Bond) and WTI of crude oil, gasoline, as well as natural gas
Yun Tian, Zhihui Li, Jue Wang, Xu Wu, Huan Huang   +4 more
doaj   +1 more source

Lake Volume Data Analyses: A Deep Look into the Shrinking and Expansion Patterns of Lakes Azuei and Enriquillo, Hispaniola

Hydrology, 2019
This paper presents the development of an evenly spaced volume time series for Lakes Azuei and Enriquillo both located on the Caribbean island of Hispaniola.
Mahrokh Moknatian, Michael Piasecki
doaj   +1 more source

A Remote Sensing-Based Assessment of Water Resources in the Arabian Peninsula

Remote Sensing, 2021
A better understanding of the spatiotemporal distribution of water resources is crucial for the sustainable development of hyper-arid regions. Here, we focus on the Arabian Peninsula (AP) and use remotely sensed data to (i) analyze the local climatology ...
Youssef Wehbe, Marouane Temimi
doaj   +1 more source