What they forgot to tell you about machine learning with an application to pharmaceutical manufacturing – lay abstract
4th March 2024
The lay abstract featured today (for What they forgot to tell you about machine learning with an application to pharmaceutical manufacturing by Kjell Johnson and Max Kuhn) is from Pharmaceutical...
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Statistical Plasmode Simulations: Potentials, Challenges and Recommendations – lay abstract
19th February 2024
The lay abstract featured today (for the Tutorial in Biostatistics on Statistical plasmode simulations–Potentials, challenges and recommendations by Nicholas Schreck, Alla Slynko, Maral Saadati...
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Sampling design methods for making improved lake management decisions – lay abstract
14th February 2024
The lay abstract featured today (for Sampling design methods for making improved lake management decisions by Vilja Koski and Jo Eidsvik) is from Environmetrics with the full Open Access article...
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Publishing an applied statistics paper: Guidance and advice from editors – lay abstract
14th February 2024
The lay abstract featured today (for Publishing an applied statistics paper: Guidance and advice from editors by Christine M. Anderson-Cook, Lu Lu, Robert B. Gramacy, L. Allison...
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Reducing the statistical error of generative adversarial networks using space-filling sampling – lay abstract
8th February 2024
The lay abstract featured today (for Reducing the statistical error of generative adversarial networks using space-filling sampling by Sumin Wang, Yuyou Gao, Yongdao Zhou, Bin Pan, Xia Xuand Tao...
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Modeling Multivariate Positive-Valued Time Series Using R-INLA – lay abstract
30th January 2024
The lay abstract featured today (for Modeling multivariate positive-valued time series using R-INLA by Chiranjit Dutta, Nalini Ravishanker and Sumanta Basu) is from Applied Stochastic Models in...
Read MoreA Bayesian framework for modeling COVID-19 case numbers through longitudinal monitoring of SARS-CoV-2 RNA in wastewater – lay abstract
19th January 2024
The lay abstract featured today (for A Bayesian framework for modeling COVID-19 case numbers through longitudinal monitoring of SARS-CoV-2 RNA in wastewater by Xiaotian Dai, Nicole Acosta, Xuewen...
Read MoreOptimal design of constant-stress accelerated degradation tests based on the Wiener process with manufacturing batches heterogeneity and individual differences – lay abstract
17th January 2024
The lay abstract featured today (for Optimal design of constant-stress accelerated degradation tests based on the Wiener process with manufacturing batches heterogeneity and individual differences...
Read MoreStructural equation models for simultaneous modeling of air pollutants – lay abstract
16th January 2024
The lay abstract featured today (for Structural equation models for simultaneous modeling of air pollutants by Mariaelena Bottazzi Schenone, Elena Grimaccia and Maurizio Vichi) is...
Read MoreAn integrated Bayesian framework for multi-omics prediction and classification – lay abstract
5th January 2024
The lay abstract featured today (for An integrated Bayesian framework for multi-omics prediction and classification by Himel Mallick, Anupreet Porwal, Satabdi Saha, Piyali Basak, Vladimir Svetnik...
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