Results 31 to 40 of about 2,624,164 (273)
Safety, 2020 Trends and underlying patterns should be identified in the timely distribution of road traffic offenses to increase traffic safety. In this study, a time series analysis was used to study the incidence rate of road traffic violations on Iranian rural ...
Milad Delavary +2 more
doaj +1 more source
Three Dimensional Change Detection Using Point Clouds: A Review
Geomatics, 2022 Change detection is an important step for the characterization of object dynamics at the earth’s surface. In multi-temporal point clouds, the main challenge is to detect true changes at different granularities in a scene subject to significant noise and ...
Abderrazzaq Kharroubi +4 more
doaj +1 more source
Random Forests for Change Point Detection
, 2022 Journal of Machine Learning Research, 24 (216)
Londschien, Malte +2 more
openaire +5 more sources
DETECTING UNKNOWN CHANGE POINTS FOR HETEROSKEDASTIC DATA
Dokuz Eylül Üniversitesi İşletme Fakültesi Dergisi, 2023 There are several tests to detect structural change at unknown change points. The Andrews Sup F test (1993) is the most powerful, but it requires the assumption of homoskedasticity. Ahmed et al. (2017) introduced the Sup MZ test, which relaxes this assumption and tests for changes in both the coefficients of regression and variance simultaneously.
Sıdıka Başçı, Asad Ul Islam Khan
openaire +3 more sources
Change-point detection for expected shortfall in time series
Journal of Management Science and Engineering, 2021 Expected shortfall (ES) is a popular risk measure and plays an important role in risk and portfolio management. Recently, change-point detection of risk measures has been attracting much attention in finance.
Lingyu Sun, Dong Li
doaj +1 more source
Change Point Detection in Correlation Networks. [PDF]
Sci Rep, 2016 AbstractMany systems of interacting elements can be conceptualized as networks, where network nodes represent the elements and network ties represent interactions between the elements. In systems where the underlying network evolves, it is useful to determine the points in time where the network structure changes significantly as these may correspond ...
Barnett I, Onnela JP.
europepmc +6 more sources
Sequential change-point detection when unknown parameters are present in the pre-change distribution [PDF]
, 2006 In the sequential change-point detection literature, most research specifies a required frequency of false alarms at a given pre-change distribution $f_{\theta}$ and tries to minimize the detection delay for every possible post-change distribution $g_ ...
Mei, Yajun
core +2 more sources
onlineBcp: An R package for online change point detection using a Bayesian approach
SoftwareX, 2022 Change point analysis has been useful for practical data analytics. In this paper, we provide a new R package, onlineBcp, based on an online Bayesian change point detection algorithm.
Hongyan Xu, Ayten Yiğiter, Jie Chen
doaj +1 more source
Frontiers in Earth Science, 2021 Near surface air temperature (NSAT) is one of the most important climatic parameters and its variability plays a vital role in natural processes associated with climate.
Jia Zhou, Jia Zhou, Tao Lu
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 +3 more
core +3 more sources