Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Raaz Dwivedi"'
Autor:
Nick Altieri, Rebecca L Barter, James Duncan, Raaz Dwivedi, Karl Kumbier, Xiao Li, Robert Netzorg, Briton Park, Chandan Singh, Yan Shuo Tan, Tiffany Tang, Yu Wang, Chao Zhang, Bin Yu
Publikováno v:
Harvard Data Science Review (2021)
Externí odkaz:
https://doaj.org/article/a7e121c5eaa440f8b1d7f583ca228363
Publikováno v:
Ann. Statist. 48, no. 6 (2020), 3161-3182
A line of recent work has analyzed the behavior of the Expectation-Maximization (EM) algorithm in the well-specified setting, in which the population likelihood is locally strongly concave around its maximizing argument. Examples include suitably sep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dde4a20b8fbd98cd2592b23b3bba02d9
https://projecteuclid.org/euclid.aos/1607677231
https://projecteuclid.org/euclid.aos/1607677231
Publikováno v:
Probability Theory and Related Fields. 174:103-131
Consider an infinite sequence of independent, uniformly chosen points from $[0,1]^d$. After looking at each point in the sequence, an overseer is allowed to either keep it or reject it, and this choice may depend on the locations of all previously ke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1c8e8f1887b0324739a2b6f79740b1a
https://doi.org/10.1007/s00440-018-0860-y
https://doi.org/10.1007/s00440-018-0860-y
Building on Yu and Kumbier's PCS framework and for randomized experiments, we introduce a novel methodology for Stable Discovery of Interpretable Subgroups via Calibration (StaDISC), with large heterogeneous treatment effects. StaDISC was developed d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::720e1cbdc6ef33a78a229fbd5ddcc44b
Autor:
Xiao Li, Yu Wang, Bin Yu, Briton Park, Chandan Singh, Raaz Dwivedi, Robert Netzorg, Tiffany Tang, Chao Zhang, Rebecca L Barter, Karl Kumbier, James S. Duncan, Yan Shuo Tan, Nick Altieri
As the COVID-19 outbreak evolves, accurate forecasting continues to play an extremely important role in informing policy decisions. In this paper, we present our continuous curation of a large data repository containing COVID-19 information from a ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::197f78ac730c1f6b91f0aede8739b0dc
Publikováno v:
Systems & Control Letters. 92:42-45
Several estimation techniques assume validity of Gaussian approximations for estimation purposes. Interestingly, these ensemble methods have proven to work very well for high-dimensional data even when the distributions involved are not necessarily G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7703f6d4929b1647a538fda76c506d29
https://doi.org/10.1016/j.sysconle.2016.03.001
https://doi.org/10.1016/j.sysconle.2016.03.001
Publikováno v:
Allerton
The problem of sampling from the uniform distribution over a polytope arises in various contexts. We propose a new random walk for this purpose, which we refer to as the Vaidya walk, since it is based on the volumetric-logarithmic barrier introduced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e6f309e7367cac01960b672a7aa16b8
https://escholarship.org/uc/item/6ww3p92r
https://escholarship.org/uc/item/6ww3p92r
Autor:
Vivek S. Borkar, Raaz Dwivedi
Publikováno v:
2014 International Conference on Signal Processing and Communications (SPCOM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7a01373d8d7f049bd17d4136b61d2c3
https://doi.org/10.1109/spcom.2014.6983986
https://doi.org/10.1109/spcom.2014.6983986
Publikováno v:
IEE Proceedings G Circuits, Devices and Systems. 140:155
The present investigation deals with the distributed parameter analysis of the p–n junction solar cell in the current-induced case at low level injection. The theory, for the first time, takes into account the metal–semiconductor contact resistan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6790d7d168cf7a86920333896a9ad31
https://doi.org/10.1049/ip-g-2.1993.0025
https://doi.org/10.1049/ip-g-2.1993.0025