Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Shuva Gupta"'
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
Quantitative high throughput screening (qHTS) experiments can generate 1000s of concentration-response profiles to screen compounds for potentially adverse effects. However, potency estimates for a single compound can vary considerably in study desig
Externí odkaz:
https://doaj.org/article/1a2b0502db7248b890af375cee7743bb
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
Frontiers in Genetics
Frontiers in Genetics
Quantitative high throughput screening (qHTS) experiments can generate 1000s of concentration-response profiles to screen compounds for potentially adverse effects. However, potency estimates for a single compound can vary considerably in study desig
Publikováno v:
Computational Statistics & Data Analysis. 77:223-232
Identification of active factors in supersaturated designs (SSDs) has been the subject of much recent study. Although several methods have been previously proposed, a solution to the problem beyond one or two active factors still seems to be unsatisf
Autor:
Shuva Gupta
Publikováno v:
Sankhya A. 74:10-28
The asymptotic distribution of the Lasso estimator for regression models with independent errors has been investigated by Knight and Fu (2000). In this note we extend these results to regression models with a general weak dependence structure. We det
Autor:
Shuva Gupta, S. N. Lahiri
Publikováno v:
Journal of the American Statistical Association. 109:1013-1015