Could your smartwatch help detect the next COVID-19 outbreak? Scientists think so
A new study by scientists at Scripps Research describes a tool that could help public health officials spot and contain COVID-19 outbreaks.
Nov 4, 2020
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A new study by scientists at Scripps Research describes a tool that could help public health officials spot and contain COVID-19 outbreaks.
Nov 4, 2020
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In Florida, June typically marks the beginning of hurricane season. Preparation for a storm may appear as otherworldly as it is routine: businesses and homes board up windows and doors, bottled water is quick to sell out, ...
Jul 11, 2022
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In 1998, I unintentionally created a racially biased artificial intelligence algorithm. There are lessons in that story that resonate even more strongly today.
May 9, 2023
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Computers can now automatically crop photos to capture the most interesting part in an aesthetically pleasing manner, thanks to researchers at Penn State.
Apr 11, 2019
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At low temperatures, concrete tends to set unevenly, which can lead to a collapse. A team of engineers from RUDN University suggested using infrared light and adding silicon and ash to concrete to solve this issue. The technology ...
Mar 18, 2021
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The power of machine learning in enhancing the quality of the manufacturing process is getting increasingly recognized. AI and machine learning have become popular tools for manufacturers to improve throughput and optimize ...
Apr 17, 2020
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Optimizing the integration of wind energy into a country's power network requires reliable forecasts of how wind speed and direction are likely to vary in time and space over the pending few hours. KAUST researchers have ...
Sep 28, 2020
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In 2022, a quick internet search for Lake Mead or Lake Powell returns startling images of drying lake beds and parched land.
Sep 22, 2022
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A predictability model built by an SMU research team can calculate the odds that certain variables—such as drunk driving or speeding 20 miles above the limit—will result in a severe car accident.
Apr 21, 2021
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A research team led by Kojiro Matsuo, an associate professor at the Department of Architecture and Civil Engineering within the Toyohashi University of Technology, and Kosuke Miyazaki, a professor at the Department of Civil ...
Jan 5, 2023
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A statistical model is a set of mathematical equations which describe the behavior of an object of study in terms of random variables and their associated probability distributions. If the model has only one equation it is called a single-equation model, whereas if it has more than one equation, it is known as a multiple-equation model.
In mathematical terms, a statistical model is frequently thought of as a pair (Y,P) where Y is the set of possible observations and P the set of possible probability distributions on Y. It is assumed that there is a distinct element of P which generates the observed data. Statistical inference enables us to make statements about which element(s) of this set are likely to be the true one.
Three notions are sufficient to describe all statistical models.
One of the most basic models is the simple linear regression model which assumes a relationship between two random variables Y and X. For instance, one may want to linearly explain child mortality in a given country by its GDP. This is a statistical model because the relationship need not to be perfect and the model includes a disturbance term which accounts for other effects on child mortality other than GDP.
As a second example, Bayes theorem in its raw form may be intractable, but assuming a general model H allows it to become
which may be easier. Models can also be compared using measures such as Bayes factors or mean square error.
This text uses material from Wikipedia, licensed under CC BY-SA