Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sai K. Popuri"'
Autor:
Sai K Popuri
Publikováno v:
2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91f29cb13d9c68d01e61303247bafc86
https://doi.org/10.1109/com-it-con54601.2022.9850862
https://doi.org/10.1109/com-it-con54601.2022.9850862
Publikováno v:
Digital Signal Processing. 116:103107
Semi-continuous data comes from a distribution that is a mixture of the point mass at zero and a continuous distribution with support on the positive real line. Such data appear in several real-life situations like blind signal separation problems, m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6f150ee7f657d848f306b57ada87224
https://doi.org/10.1016/j.dsp.2021.103107
https://doi.org/10.1016/j.dsp.2021.103107
Publikováno v:
Journal of Statistical Computation and Simulation. 88:657-674
Recombinant binomial trees are binary trees where each non-leaf node has two child nodes, but adjacent parents share a common child node. Such trees arise in finance when pricing an option. For example, valuation of a European option can be carried o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e95041939c32052842576bf49f3808f0
https://doi.org/10.1080/00949655.2017.1402898
https://doi.org/10.1080/00949655.2017.1402898
Autor:
Zois Boukouvalas, Sai K. Popuri
Publikováno v:
MLSP
Semi-continuous data have a point mass at zero and are continuous with positive support. Such data arise naturally in several real-life situations like signals in a blind source separation problem, daily rainfall at a location, sales of durable goods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbe53eec30450e6f10724650a2ae4825
https://doi.org/10.1109/mlsp.2019.8918850
https://doi.org/10.1109/mlsp.2019.8918850
Publikováno v:
Computational Statistics. 31:923-941
Sufficient dimension reduction methodologies in regressions of Y on a p-variate X aim at obtaining a reduction $$R(X) \in {\mathbb R}^{d}, d \le p$$R(X)źRd,d≤p, that retains all the regression information of Y in X. When the predictors fall natura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83b4d33f71a97de8c230958abe71c802
https://doi.org/10.1007/s00180-015-0611-9
https://doi.org/10.1007/s00180-015-0611-9
Publikováno v:
Machine Learning and Data Mining Approaches to Climate Science ISBN: 9783319172194
We consider the problem of improving the quality of downscaled daily precipitation data over the Missouri River Basin (MRB) at the resolution of the observed data provided based on surface observations. We use the observed precipitation as the respon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f7e185293285d999adc056701a84140
https://doi.org/10.1007/978-3-319-17220-0_4
https://doi.org/10.1007/978-3-319-17220-0_4
