Results 291 to 300 of about 10,617,293 (333)

Parallelization of Change Point Detection

The Journal of Physical Chemistry A, 2017
The change point detection method ( Watkins , L. P. ; Yang , H. J. Phys. Chem. B 2005 , 109 , 617 ) allows the objective identification and isolation of abrupt changes along a data series. Because this method is grounded in statistical tests, it is particularly powerful for probing complex and noisy signals without artificially imposing a kinetics ...
Nancy Song, Haw Yang
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Change-Point Models

2017
AbstractThis chapter investigates change-point (hazard rate) probability models for the random survival time in some population of interest. A parametric probability distribution is assumed with parameters to be estimated from a sample of observed survival times.
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Change-Point Models

2011
Detection of a failure and successful removal of the fault that has caused the failure during software testing are affected by many factors. These factors include testing environment, strategy, testing team constitution and efficiency, test case effectiveness, resources and many more.
P. K. Kapur, H. Pham, A. Gupta, P. C. Jha   +3 more
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Ensembles of change-point methods to estimate the change point in residual sequences

Soft Computing, 2013
Change-point methods (CPMs) are statistical tests design to assess whether a given sequence comes from an unique, stationary, data-generating process. CPMs eventually estimate the change-point location, i.e., the point where the data-generating process shifted. While there exists a large literature concerning CPMs meant for sequences of independent and
ALIPPI, CESARE, BORACCHI, GIACOMO, ROVERI, MANUEL   +2 more
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Resampling-Based Change Point Estimation

2011
Change point detecting problem is an important task in data mining applications. Standard statistical procedures for change point detection, based on maximum likelihood estimators, are complex and require building of parametric models of data. Instead, the methods of computational statistics replace complex statistical procedures with an amount of ...
Fiosina, J. and Fiosins, M
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Network Online Change Point Localization

SIAM Journal on Mathematics of Data Science
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yu, Yi, Madrid Padilla, Oscar H., Wang, Daren, Rinaldo, Alessandro   +3 more
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Change Point Detection Techniques

2004
In this chapter we will discuss change point detection techniques for analyzing population change over time. The linkage between information theory and statistics has been discussed in Chapter 5. In statistics, the problem of change point analysis can be formulated as that of model selection.
Bon K. Sy, Arjun K. Gupta
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Electronic Textiles for Wearable Point-of-Care Systems

Chemical Reviews, 2022
, Trinny Tat
exaly  

Change-point control

2021
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The Change-Point Problems

1998
In the following we consider several problems of parameter estimation in situations where the intensity functions have jumps and the corresponding families of measures are not LAN. The limits of the likelihood ratios contain the Poisson processes, and the properties of the MLE, BE, and MDE differ from the properties of these estimators as described in ...
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