Zobrazeno 1 - 10
of 7 034
pro vyhledávání: '"P. A. Efron"'
Autor:
Mamidipaka, Pragna, Desai, Shantanu
Publikováno v:
JCAP 12 (2023) 034
We apply the Efron-Petrosian technique to radio fluxes of pulsars detected in the Parkes multi-beam survey to test the independence of luminosity and distance. For this dataset, we find that for four different distance exponents (ranging from 0.5 to
Externí odkaz:
http://arxiv.org/abs/2309.11079
Autor:
Rajendran, Goutham, Tulsiani, Madhur
Analyzing concentration of large random matrices is a common task in a wide variety of fields. Given independent random variables, many tools are available to analyze random matrices whose entries are linear in the variables, e.g. the matrix-Bernstei
Externí odkaz:
http://arxiv.org/abs/2209.02655
We prove hypercontractive inequalities on high dimensional expanders. As in the settings of the p-biased hypercube, the symmetric group, and the Grassmann scheme, our inequalities are effective for global functions, which are functions that are not s
Externí odkaz:
http://arxiv.org/abs/2111.09375
Publikováno v:
DISCRETE ANALYSIS, 2022:5, 44 pp
Two models of random cones in high dimensions are considered, together with their duals. The Donoho-Tanner random cone $D_{n,d}$ can be defined as the positive hull of $n$ independent $d$-dimensional Gaussian random vectors. The Cover-Efron random co
Externí odkaz:
http://arxiv.org/abs/2012.06189
Statistical methods are frequently built upon assumptions that limit their applicability to certain problems and conditions. Failure to recognize these limitations can lead to conclusions that may be inaccurate or biased. An example of such methods i
Externí odkaz:
http://arxiv.org/abs/2010.02935
Publikováno v:
PMLR Vol. 98, 2019
There is accumulating evidence in the literature that stability of learning algorithms is a key characteristic that permits a learning algorithm to generalize. Despite various insightful results in this direction, there seems to be an overlooked dich
Externí odkaz:
http://arxiv.org/abs/1903.05457
Akademický článek
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Akademický článek
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Autor:
Agarwal, Mohit, Sun, Mimi, Kamath, Chaitanya, Muslim, Arbaaz, Sarker, Prithul, Paul, Joydeep, Yee, Hector, Sieniek, Marcin, Jablonski, Kim, Mayer, Yael, Fork, David, de Guia, Sheila, McPike, Jamie, Boulanger, Adam, Shekel, Tomer, Schottlander, David, Xiao, Yao, Manukonda, Manjit Chakravarthy, Liu, Yun, Bulut, Neslihan, Abu-el-haija, Sami, Eigenwillig, Arno, Kothari, Parth, Perozzi, Bryan, Bharel, Monica, Nguyen, Von, Barrington, Luke, Efron, Niv, Matias, Yossi, Corrado, Greg, Eswaran, Krish, Prabhakara, Shruthi, Shetty, Shravya, Prasad, Gautam
Supporting the health and well-being of dynamic populations around the world requires governmental agencies, organizations and researchers to understand and reason over complex relationships between human behavior and local contexts in order to ident
Externí odkaz:
http://arxiv.org/abs/2411.07207
Publikováno v:
Jurnal Matematika UNAND, Vol 10, Iss 3, Pp 394-405 (2021)
Salah satu kendala yang sering dihadapi pada penelitian survival adalah adanya data tersensor. Jika data tersensor dihilangkan, maka akan terjadi bias. Pengolahan data tersensor dapat dilakukan dengan Cox Semiparametric Hazards model. Pada penelitian
Externí odkaz:
https://doaj.org/article/e946a56cd6404e90ba9b8c0f88b4d28d
