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Nonparametric Estimation of Cumulative Incidence Functions of Recurrent Events
StatisticaThe present paper discusses modeling and analysis of recurrent event data with competing risks. We propose non parametric estimation of cumulative incidence functions of recurrent event competing risks model.
Sisuma Mandakathingal Sivadasan +1 more
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Nearest Neighbor Conditional Estimation for Harris Recurrent Markov Chains [PDF]
, 2007 This paper is concerned with consistent nearest neighbor time series estimation for data generated by a Harris recurrent Markov chain. The goal is to validate nearest neighbor estimation in this general time series context, using simple and weak ...
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Equine recurrent uveitis - A spontaneous horse model of uveitis [PDF]
, 2008 Equine recurrent uveitis (ERU) is an autoimmune disease that occurs with a high prevalence (10%) in horses. ERU represents the only reliable spontaneous model for human autoimmune uveitis.
Amann, B. +18 more
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Cellular Functions of High-Temperature Requirement Factor A4 in Placenta
Cells, 2023 The expression of High-temperature requirement factor A4 (HtrA4) mRNA is significantly lower in the chorionic villi of patients with recurrent pregnancy loss (RPL) than in the control group.
Chang-Zhu Pei +8 more
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SORN : a self-organizing recurrent neural network [PDF]
, 2009 Understanding the dynamics of recurrent neural networks is crucial for explaining how the brain processes information. In the neocortex, a range of different plasticity mechanisms are shaping recurrent networks into effective information processing ...
Pipa, Gordon +5 more
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Recurrent methods of construction of cumulative functions of risk
Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2012 The estimation problem of the enterprise total losses related to the improper performance of liability is considered. The total losses distribution function and density for the aggregate contracts are constructed by the recurrent methods, proposed by N ...
E. V. Mikhailova, V. N. Nikishchov
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, 2008 In this paper we demonstrate that signal propagation across a laminar sheet of recurrent neurons is maximised when two conditions are met. First, neurons must be in the so-called centre crossing configuration.
Buckley, Christopher L
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ON THE GROWTH OF LINEAR RECURRENCES IN FUNCTION FIELDS [PDF]
Bulletin of the Australian Mathematical Society, 2020 AbstractLet $ (G_n)_{n=0}^{\infty } $ be a nondegenerate linear recurrence sequence whose power sum representation is given by $ G_n = a_1(n) \alpha _1^n + \cdots + a_t(n) \alpha _t^n $ . We prove a function field analogue of the well-known result in the number field case that, under some nonrestrictive conditions, $ |{G_n}| \geq ( \max _{j=1 ...
CLEMENS FUCHS, SEBASTIAN HEINTZE
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Generalized Almost Periodicity in Lebesgue Spaces with Variable Exponents, Part II
Mathematics, 2020 In this paper, we introduce and analyze several different notions of almost periodic type functions and uniformly recurrent type functions in Lebesgue spaces with variable exponent L p ( x ) .
Marko Kostić, Wei-Shih Du
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Prediction of Convergence Dynamics of Design Performance using Differential Recurrent Neural Networks [PDF]
, 2008 Computational Fluid Dynamics (CFD) simulations have been extensively used in many aerodynamic design optimization problems, such as wing and turbine blade shape design optimization.
Sendhoff, Bernhard +12 more
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