%0 Journal Article %1 BUHLMANN2018 %A Bühlmann, Peter %A van de Geer, Sara %D 2018 %J Statistics & Probability Letters %K 2018 elsevier eth-zurich machine-learning paper probability statistics %R https://doi.org/10.1016/j.spl.2018.02.016 %T Statistics for big data: A perspective %U http://www.sciencedirect.com/science/article/pii/S0167715218300610 %X We look at the role of statistics in data science. Two statisticians, two views. Besides the need of developing appropriate concepts, methodology and algorithms, the first one makes a case for validation and carefully designed simulation studies, while the second one writes that a mathematical underpinning of methods is fundamental. Both views converge to the same point: there should be more room for publishing negative findings.

@article{BUHLMANN2018, abstract = {We look at the role of statistics in data science. Two statisticians, two views. Besides the need of developing appropriate concepts, methodology and algorithms, the first one makes a case for validation and carefully designed simulation studies, while the second one writes that a mathematical underpinning of methods is fundamental. Both views converge to the same point: there should be more room for publishing negative findings.}, added-at = {2018-05-17T08:10:52.000+0200}, author = {Bühlmann, Peter and van de Geer, Sara}, biburl = {https://www.bibsonomy.org/bibtex/2786b4cf4c813703a59895a54680e513d/achakraborty}, description = {Statistics for big data: A perspective - ScienceDirect}, doi = {https://doi.org/10.1016/j.spl.2018.02.016}, interhash = {2b64a69a52ba1217b58ade11d5006673}, intrahash = {786b4cf4c813703a59895a54680e513d}, issn = {0167-7152}, journal = {Statistics & Probability Letters}, keywords = {2018 elsevier eth-zurich machine-learning paper probability statistics}, timestamp = {2018-05-17T08:10:52.000+0200}, title = {Statistics for big data: A perspective}, url = {http://www.sciencedirect.com/science/article/pii/S0167715218300610}, year = 2018 }