Zobrazeno 1 - 10
of 1 268
pro vyhledávání: '"Levine, Michael P."'
Autor:
Edwards, Samuel J., Levine, Michael
This paper will present a multi-fidelity, data-adaptive approach with a Long Short-Term Memory (LSTM) neural network to estimate ship response statistics in bimodal, bidirectional seas. The study will employ a fast low-fidelity, volume-based tool Sim
Externí odkaz:
http://arxiv.org/abs/2307.08810
We consider the truncated multivariate normal distributions for which every component is one-sided truncated. We show that this family of distributions is an exponential family. We identify $\mathcal{D}$, the corresponding natural parameter space, an
Externí odkaz:
http://arxiv.org/abs/2303.10287
Autor:
Levine, Michael, Mazo, Gildas
In this manuscript, we consider a finite multivariate nonparametric mixture model where the dependence between the marginal densities is modeled using the copula device. Pseudo EM stochastic algorithms were recently proposed to estimate all of the co
Externí odkaz:
http://arxiv.org/abs/2212.06748
Identification of clusters of co-expressed genes in transcriptomic data is a difficult task. Most algorithms used for this purpose can be classified into two broad categories: distance-based or model-based approaches. Distance-based approaches typica
Externí odkaz:
http://arxiv.org/abs/2209.11705
We propose a difference-based nonparametric methodology for the estimation and inference of the time-varying auto-covariance functions of a locally stationary time series when it is contaminated by a complex trend with both abrupt and smooth changes.
Externí odkaz:
http://arxiv.org/abs/2003.05006
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
In this manuscript, we discuss a class of difference-based estimators of the autocovariance structure in a semiparametric regression model where the signal is discontinuous and the errors are serially correlated. The signal in this model consists of
Externí odkaz:
http://arxiv.org/abs/1905.04578