Zobrazeno 1 - 10
of 194
pro vyhledávání: '"Amini, Morteza"'
Autor:
Kharabati, Mitra, Amini, Morteza
We have utilized the non-conjugate VB method for the problem of the sparse Poisson regression model. To provide an approximated conjugacy in the model, the likelihood is approximated by a quadratic function, which provides the conjugacy of the approx
Externí odkaz:
http://arxiv.org/abs/2311.01147
This paper proposes a new nonlinear approach for additive functional regression with functional response based on kernel methods along with some slight reformulation and implementation of the linear regression and the spectral additive model. The lat
Externí odkaz:
http://arxiv.org/abs/2207.04773
Autor:
Amini, Morteza
Simultaneous analysis of gene expression data and genetic variants is highly of interest, especially when the number of gene expressions and genetic variants are both greater than the sample size. Association of both causal genes and effective SNPs m
Externí odkaz:
http://arxiv.org/abs/2110.02496
This paper introduces the hhsmm R package, which involves functions for initializing, fitting, and predication of hidden hybrid Markov/semi-Markov models. These models are flexible models with both Markovian and semi-Markovian states, which are appli
Externí odkaz:
http://arxiv.org/abs/2109.12489
Autor:
Amini, Morteza1 (AUTHOR) morteza.amini@ut.ac.ir, Roozbeh, Mahdi2 (AUTHOR) mahdi.roozbeh@semnan.ac.ir, Mohamed, Nur Anisah3 (AUTHOR) mahdi.roozbeh@semnan.ac.ir
Publikováno v:
Mathematics (2227-7390). Jan2024, Vol. 12 Issue 2, p172. 17p.
Publikováno v:
In Journal of the Mechanical Behavior of Biomedical Materials March 2023 139
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Autor:
Salehi, Majid, Amini, Morteza
Widespread growth in Android malwares stimulates security researchers to propose different methods for analyzing and detecting malicious behaviors in applications. Nevertheless, current solutions are ill-suited to extract the fine-grained behavior of
Externí odkaz:
http://arxiv.org/abs/1711.05731
Autor:
Amini, Morteza, Nematollahi, Nader
We introduce the problem of estimation of the parameters of a dynamically selected population in an infinite sequence of random variables and provide its application in the statistical inference based on record values from a non-stationary scheme. We
Externí odkaz:
http://arxiv.org/abs/1505.07915
In this paper, we develop Bayesian predictive inferential procedures for prediction of repair times of a series system, applying a minimal repair strategy, using the information contained in an independent observed hybrid censored sample of the lifet
Externí odkaz:
http://arxiv.org/abs/1505.06417