Time series | Statistical signal processing
In statistics, signal processing, and econometrics, an unevenly (or unequally or irregularly) spaced time series is a sequence of observation time and value pairs (tn, Xn) in which the spacing of observation times is not constant. Unevenly spaced time series naturally occur in many industrial and scientific domains: natural disasters such as earthquakes, floods, or volcanic eruptions typically occur at irregular time intervals. In observational astronomy, measurements such as spectra of celestial objects are taken at times determined by weather conditions, availability of observation time slots, and suitable planetary configurations. In clinical trials (or more generally, longitudinal studies), a patient's state of health may be observed only at irregular time intervals, and different patients are usually observed at different points in time. Wireless sensors in the Internet of things often transmit information only when a state changes to conserve battery life. There are many more examples in climatology, ecology, high-frequency finance, geology, and signal processing. (Wikipedia).
Why Are Time Series Special? : Time Series Talk
So ... what's so special about time series?
From playlist Time Series Analysis
Evaluating Time Series Models : Time Series Talk
How do we evaluate our time series models? How can we tell if one model is better than another?
From playlist Time Series Analysis
International Time Zones (1 of 2: Why do we need them?)
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Problem #63 Orbital Period of Binary
Problem #63 Orbital Period of Binary
From playlist Bi-weekly Physics Problems
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Visit http://ilectureonline.com for more math and science lectures! http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn why and how the GPS time moves ahead of UTC time (Coordiated Universal Time). Previous video in this series on YouTube: https://
From playlist SPECIAL TOPICS 2 - GPS
Variation (2 of 3: Direct example)
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From playlist Types of Relationships
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Anomaly Detection : Time Series Talk
Detecting anomalies and adjusting for them in time series. Code used in this video: https://github.com/ritvikmath/Time-Series-Analysis/blob/master/Anomaly%20Detection.ipynb
From playlist Time Series Analysis
Understanding The Big Bang | Wondrium Perspectives
The Big Bang is HUGE—it’s the theory that informs the origins of the entire universe. However, there’s a lot more to this theory than just that colossal explosion—it goes on to explain how the universe continues to expand, and even addresses the birth of new stars. In this episode of Per
From playlist Wondrium Perspectives
Deep Learning for Classification in Astronomy and Biomedicine - Ashish Mahabal - 6/25/2019
AstroInformatics 2019 Conference: AstroInformatics Methods and Applications http://astroinformatics2019.org/
From playlist AstroInformatics 2019 Conference
In this short video explainer, Universe Today publisher Fraser Cain explains why we only see one side of the lunar surface, and yet, the Moon does rotate. http://www.universetoday.com/19699/does-the-moon-rotate/ -------------------- Have you ever noticed that the Moon always looks the s
From playlist Guide to Space
Dot products and duality | Chapter 9, Essence of linear algebra
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From playlist Essence of linear algebra
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From playlist Planets and Moons
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From playlist AP Chemistry Video Essentials
The Hubble was Almost a $15B Disaster
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From playlist SciShow Space
Managing Time stamped Tabular Data with Timetable
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From playlist Release 2016b Highlights and New Features
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From playlist Time Series Analysis
The Neandertal, the enigmatic Stone Age man who appears to have vanished without a trace from the earth 30,000 years ago, lives on in us modern humans. Each of us carries up to four percent of Neandertal genes. Researchers working with Svante Pääno at the Max Planck Institute for Evolution
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