High-dimensional statistics with a view toward applications in biology
We review statistical methods for high-dimensional data analysis and pay particular
attention to recent developments for assessing uncertainties in terms of controlling false …
attention to recent developments for assessing uncertainties in terms of controlling false …
Estimation and inference of heterogeneous treatment effects using random forests
Many scientific and engineering challenges—ranging from personalized medicine to
customized marketing recommendations—require an understanding of treatment effect …
customized marketing recommendations—require an understanding of treatment effect …
A critical review of LASSO and its derivatives for variable selection under dependence among covariates
L Freijeiro‐González, M Febrero‐Bande… - International …, 2022 - Wiley Online Library
The limitations of the well‐known LASSO regression as a variable selector are tested when
there exists dependence structures among covariates. We analyse both the classic situation …
there exists dependence structures among covariates. We analyse both the classic situation …
Springer series in statistics
The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
On asymptotically optimal confidence regions and tests for high-dimensional models
On asymptotically optimal confidence regions and tests for high-dimensional models Page 1
The Annals of Statistics 2014, Vol. 42, No. 3, 1166–1202 DOI: 10.1214/14-AOS1221 © Institute …
The Annals of Statistics 2014, Vol. 42, No. 3, 1166–1202 DOI: 10.1214/14-AOS1221 © Institute …
[PDF][PDF] Confidence intervals and hypothesis testing for high-dimensional regression
Fitting high-dimensional statistical models often requires the use of non-linear parameter
estimation procedures. As a consequence, it is generally impossible to obtain an exact …
estimation procedures. As a consequence, it is generally impossible to obtain an exact …
Circulating tumor DNA methylation profiles enable early diagnosis, prognosis prediction, and screening for colorectal cancer
Circulating tumor DNA (ctDNA) has emerged as a useful diagnostic and prognostic
biomarker in many cancers. Here, we conducted a study to investigate the potential use of …
biomarker in many cancers. Here, we conducted a study to investigate the potential use of …
[HTML][HTML] A significance test for the lasso
In the sparse linear regression setting, we consider testing the significance of the predictor
variable that enters the current lasso model, in the sequence of models visited along the …
variable that enters the current lasso model, in the sequence of models visited along the …
DNA methylation markers for diagnosis and prognosis of common cancers
The ability to identify a specific cancer using minimally invasive biopsy holds great promise
for improving the diagnosis, treatment selection, and prediction of prognosis in cancer …
for improving the diagnosis, treatment selection, and prediction of prognosis in cancer …
Independent filtering increases detection power for high-throughput experiments
With high-dimensional data, variable-by-variable statistical testing is often used to select
variables whose behavior differs across conditions. Such an approach requires adjustment …
variables whose behavior differs across conditions. Such an approach requires adjustment …