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This proceedings volume features top contributions in modern
statistical methods from Statistics 2021 Canada, the 6th Annual
Canadian Conference in Applied Statistics, held virtually on July
15-18, 2021. Papers are contributed from established and emerging
scholars, covering cutting-edge and contemporary innovative
techniques in statistics and data science. Major areas of
contribution include Bayesian statistics; computational statistics;
data science; semi-parametric regression; and stochastic methods in
biology, crop science, ecology and engineering. It will be a
valuable edited collection for graduate students, researchers, and
practitioners in a wide array of applied statistical and data
science methods.
This proceedings volume features top contributions in modern
statistical methods from Statistics 2021 Canada, the 6th Annual
Canadian Conference in Applied Statistics, held virtually on July
15-18, 2021. Papers are contributed from established and emerging
scholars, covering cutting-edge and contemporary innovative
techniques in statistics and data science. Major areas of
contribution include Bayesian statistics; computational statistics;
data science; semi-parametric regression; and stochastic methods in
biology, crop science, ecology and engineering. It will be a
valuable edited collection for graduate students, researchers, and
practitioners in a wide array of applied statistical and data
science methods.
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