Examples of using Statistical models in English and their translations into Chinese
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Scientific or statistical models aren't needed.
Statistical models: Statistical models in R.
The design matrix is used in certain statistical models, e.g., the general linear model. .
Data scientists, on the other hand, estimate the unknown by asking questions, writing algorithms,and building statistical models.
However, a class of statistical models may commonly be called"neural" if it possesses the following characteristics:.
We present a framework for the analysis of short axis cardiac MRI,using statistical models of shape and appearance.
Using conceptual and statistical models, they also studied laws and policies with the potential to affect gender equality and health.
In bagging, the same approach is used,but instead for estimating entire statistical models, most commonly decision trees.
If the statistical models proved true, at least one in four of their group would survive the series of hibernations and awakenings.
The second wave, it claims, enables‘creating statistical models and training them on big data,' albeit with minimal reasoning.
Statistical models, such as Hidden Markov Models and Conditional Random Fields, are used to predict the meaning of each word.
Mathematicians design surveys, experiments oropinion polls to collect data as well as mathematical or statistical models to analyze data.
The researchers used statistical models to examine the link between the four types of blood pressure medication and pancreatic cancer risk.
Information is more likely to come in cascades,guided both by networks of friends and by statistical models that anticipate our preferences.
Statistical models of the data indicate that the Hadza and the Sandawe people of Tanzania shared an ancestor in the past 30,000 years.
You will learn to analyse and critically interpret data,build statistical models of real situations, and use statistical software packages.
Researchers used statistical models to establish an intersection of genes that were regulated in the same manner in the worms, fish and mice.
Statsmodels is also a Python module that allows users to explore data,estimate statistical models, and perform statistical tests.
Not only will engineers keep tweaking their statistical models and neural networks, but users themselves will make improvements to their own systems.
Built on top of NumPy and SciPy,the StatsModels Python package is the best for creating statistical models, data handling and model evaluation.
Applied Linear Statistical Models is the long established leading authoritative text and reference on statistical modeling.
Robust risk analysis using machine learning(artificial intelligence) and statistical models to project future risks to infrastructure and impacts to customers.
Our statistical models for vision are vastly insufficient as they only rely on frozen in time appearance of things and human-assigned abstract label.
The estimates released today are largely based on statistical models and data from a variety of sources, including household surveys and censuses.
Notably, it talks about the concept of“algorithmic transparency” andthe difficulty for non-experts to understand how complex statistical models are used to make decisions.
For more on how researchers use statistical models to analyze eBird data see Fink et al.(2010) and Hurlbert and Liang(2012).
Appeals should also be made to Member States, in particular, to troop-contributing countries, to actively participate in statistical surveys by submitting data according to agreed procedures and statistical models.
In our study, we used statistical models to quantify the relationship between having PTSD and recently experiencing a major depressive episode or suicidal ideation.
Increasingly, however, research has focused on statistical models, which make soft, probabilistic decisions based on attaching real-valuedweights to each input feature.
Increasingly, however, research has focused on statistical models, which make soft, probabilistic decisions based on attaching real-valued weights to each input feature.