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Papers: 10.1017/S0950268821000091

https://doi.org/10.1017/S0950268821000091

How to improve infectious disease prediction by integrating environmental data: an application of a novel ensemble analysis strategy to predict HFMD

Cited by: 1
Author(s): Junwen Tao, Yue Ma, Xuefei Zhuang, Qiang Lv, Yaqiong Liu, Tao Zhang, Fei Yin
Published: almost 6 years ago

Software Mentions 10

cran: bnlearn
Bayesian Network Structure Learning, Parameter Learning and Inference
Papers that mentioned: 113
Very Likely Science (85)
cran: forecast
Forecasting Functions for Time Series and Linear Models
Papers that mentioned: 51
Very Likely Science (100)
cran: lars
Least Angle Regression, Lasso and Forward Stagewise
Papers that mentioned: 29
Very Likely Science (93)
cran: tseries
Time Series Analysis and Computational Finance
Papers that mentioned: 36
Very Likely Science (85)
cran: vars
VAR Modelling
Papers that mentioned: 14
Very Likely Science (85)
pypi: bnlearn
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Papers that mentioned: 113
Very Likely Science (90)
pypi: forecast
Implemetion of Book 'forcasting priceples and practise'
Papers that mentioned: 51
Very Likely Science (65)
pypi: lars
A framework for converting web-logs into various formats
Papers that mentioned: 29
Very Likely Science (65)
pypi: tseries
A package for analyzing time series with scikit-learn
Papers that mentioned: 36
Very Likely Science (65)
pypi: var
Different Methods to Estimate the Value-at-Risk of a portfolio.
Papers that mentioned: 4
Very Likely Science (100)