Zobrazeno 1 - 10
of 22
pro vyhledávání: '"62G10 62G05"'
Single index models provide an effective dimension reduction tool in regression, especially for high dimensional data, by projecting a general multivariate predictor onto a direction vector. We propose a novel single-index model for regression models
Externí odkaz:
http://arxiv.org/abs/2108.05437
We study the performance of shape-constrained methods for evaluating immune response profiles from early-phase vaccine trials. The motivating problem for this work involves quantifying and comparing the IgG binding immune responses to the first and s
Externí odkaz:
http://arxiv.org/abs/2107.11546
In this paper, we propose a new statistical inference method for massive data sets, which is very simple and efficient by combining divide-and-conquer method and empirical likelihood. Compared with two popular methods (the bag of little bootstrap and
Externí odkaz:
http://arxiv.org/abs/2004.08580
Autor:
Szabo, Botond, van Zanten, Harry
We investigate whether in a distributed setting, adaptive estimation of a smooth function at the optimal rate is possible under minimal communication. It turns out that the answer depends on the risk considered and on the number of servers over which
Externí odkaz:
http://arxiv.org/abs/2003.12838
This work presents a nonparametric statistical test, $S$-maup, to measure the sensitivity of a spatially intensive variable to the effects of the Modifiable Areal Unit Problem (MAUP). $S$-maup is the first statistic of its type and focuses on determi
Externí odkaz:
http://arxiv.org/abs/1806.08433
Autor:
Thulin, Måns
The test statistics of two powerful tests for normality \citep{lm1,mud2} are estimators of the correlation coefficient between certain sample moments. We derive new versions of the test statistics that are functions of the sample skewness and sample
Externí odkaz:
http://arxiv.org/abs/1008.5319
In a recent paper (Efron (2004)), Efron pointed out that an important issue in large-scale multiple hypothesis testing is that the null distribution may be unknown and need to be estimated. Consider a Gaussian mixture model, where the null distributi
Externí odkaz:
http://arxiv.org/abs/0911.3684
Publikováno v:
Annals of Statistics 2008, Vol. 36, No. 4, 1879-1924
We introduce a wavelet-based model of local stationarity. This model enlarges the class of locally stationary wavelet processes and contains processes whose spectral density function may change very suddenly in time. A notion of time-varying wavelet
Externí odkaz:
http://arxiv.org/abs/0808.1452
Autor:
Jin, Jiashun, Cai, T. Tony
An important issue raised by Efron in the context of large-scale multiple comparisons is that in many applications the usual assumption that the null distribution is known is incorrect, and seemingly negligible differences in the null may result in l
Externí odkaz:
http://arxiv.org/abs/math/0611108
Autor:
Botond Szabó, Harry van Zanten
Publikováno v:
Mathematical Statistics and Learning. 5:159-199
We investigate whether in a distributed setting, adaptive estimation of a smooth function at the optimal rate is possible under minimal communication. It turns out that the answer depends on the risk considered and on the number of servers over which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee0ff63d26c2d512d3b62e52949cfbb8
https://doi.org/10.4171/msl/33
https://doi.org/10.4171/msl/33
