Results 91 to 100 of about 262,287 (308)
Revista de Métodos Cuantitativos para la Economía y la Empresa, 2017 Following the recent work of Gómez-Déniz and Pérez-Rodríguez (2014), this paper extends the results obtained there to the normal-exponential distribution with dependence.
Gómez-Déniz, Emilio +1 more
doaj
Distributions conditioned on extrapolated events via copula and extreme value theory
MethodsXIn an interaction between road users, the proximity and speed are two interdependent dimensions which can be captured by a type of multivariate distribution called Copula. Copula requires all marginal distribution functions to be known.
Zhankun Chen +2 more
doaj +1 more source
A Kernel Method for the Optimization of the Margin Distribution [PDF]
, 2008 Recent results in theoretical machine learning seem to suggest that nice properties of the margin distribution over a training set turns out in a good performance of a classifier. The same principle has been already used in SVM and other kernel based methods as the associated optimization problems try to maximize the minimum of these margins.
AIOLLI, FABIO +2 more
openaire +1 more source
Aging and Cancer, EarlyView.This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
, 2019 In this article, we consider the model diagnostic plot and test of the generalized linear model. There exist several commonly used plotting methods and tests for checking the regression model assumptions.
Qiqing Yu (7270472) +1 more
core +1 more source
Environment identification based memory scheme for estimation of distribution algorithms in dynamic environments [PDF]
, 2011 Copyright @ Springer-Verlag 2010.In estimation of distribution algorithms (EDAs), the joint probability distribution of high-performance solutions is presented by a probability model.
Yang, S +3 more
core +1 more source
Efficient Robbins–Monro procedure for multivariate binary data
Statistical Theory and Related Fields, 2018 This paper considers the problem of jointly estimating marginal quantiles of a multivariate distribution. A sufficient condition for an estimator that converges in probability under a multivariate version of Robbins–Monro procedure is provided.
Cui Xiong, Jin Xu
doaj +1 more source
A seasonal Integer-Valued AR(1) model with delaporte marginal distribution [PDF]
مدلسازی پیشرفته ریاضیReal-count data time series often show the phenomenon of over-dispersion. In this paper, we introduce the first-order integer-valued autoregressive process with seasonal structure.
Maryam Shalbaf +2 more
doaj +1 more source
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT This article examines the evolving role of organizational leadership amidst the rapid advancements in artificial intelligence (AI). It explores a broadly experienced and documented crisis in leadership, due in part to the disruptive nature of AI and emerging technology.
Rachel Wlodarsky, Davin Carr Chellman
wiley +1 more source
Lower bounds on the run time of the univariate marginal distribution algorithm on OneMax [PDF]
, 2017 The Univariate Marginal Distribution Algorithm (UMDA), a popular estimation of distribution algorithm, is studied from a run time perspective. On the classical OneMax benchmark function, a lower bound of Ω(μ√n + n log n), where μ is the population size ...
Witt, Carsten +3 more
core +1 more source