Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing such data has presented a challenge for statisticians and data analysts and has required the development of new statistical methods capable of separating the signal from the noise.Introduction to High-Dimensional Statistics is a concise guide to state-of-the-art models, techniques, and approaches for h
This book features research contributions from The Abel Symposium on Statistical Analysis for High D...
This thesis concerns the analysis of high-dimensional and large-scale data that have become ubiq-uit...
In this thesis novel statistical methods that help scientists extract maximal information from high-...
© 2010 Dr. Hugh Richard MillerHigh-dimensional statistics has captured the imagination of many stati...
These lecture notes were written for the course 18.S997: High Dimensional Statistics at MIT. They bu...
Over the last few years, significant developments have been taking place in highdimensional data ana...
The last years have seen the advent and development of many devices able to record and store an alwa...
This volume conveys some of the surprises, puzzles and success stories in high-dimensional and compl...
Modern statistics deals with large and complex data sets, and consequently with models containing a ...
D ata with a large number of variables relative to the sample size—“high-dimensional data”—are readi...
Modern applications of statistical theory and methods can involve extremely large datasets, often wi...
The aim of this short contribution is to present the various papers componing this Special Issue on ...
International audienceHigh-dimensional (HD) data sets are now frequent, mostly motivated by technolo...
With advances in science and information technologies, many scientific fields are able to meet the c...
International audienceBackground: In high-dimensional data (HDD) settings, the number of variables a...
This book features research contributions from The Abel Symposium on Statistical Analysis for High D...
This thesis concerns the analysis of high-dimensional and large-scale data that have become ubiq-uit...
In this thesis novel statistical methods that help scientists extract maximal information from high-...
© 2010 Dr. Hugh Richard MillerHigh-dimensional statistics has captured the imagination of many stati...
These lecture notes were written for the course 18.S997: High Dimensional Statistics at MIT. They bu...
Over the last few years, significant developments have been taking place in highdimensional data ana...
The last years have seen the advent and development of many devices able to record and store an alwa...
This volume conveys some of the surprises, puzzles and success stories in high-dimensional and compl...
Modern statistics deals with large and complex data sets, and consequently with models containing a ...
D ata with a large number of variables relative to the sample size—“high-dimensional data”—are readi...
Modern applications of statistical theory and methods can involve extremely large datasets, often wi...
The aim of this short contribution is to present the various papers componing this Special Issue on ...
International audienceHigh-dimensional (HD) data sets are now frequent, mostly motivated by technolo...
With advances in science and information technologies, many scientific fields are able to meet the c...
International audienceBackground: In high-dimensional data (HDD) settings, the number of variables a...
This book features research contributions from The Abel Symposium on Statistical Analysis for High D...
This thesis concerns the analysis of high-dimensional and large-scale data that have become ubiq-uit...
In this thesis novel statistical methods that help scientists extract maximal information from high-...