Results 141 to 150 of about 89,782 (266)

Poisson count time series

open access: yesJournal of Time Series Analysis, EarlyView.
This article reviews and compares popular methods, some old and some recent, that produce time series having Poisson marginal distributions. The article begins by narrating ways where time series with Poisson marginal distributions can be produced.
Jiajie Kong, Robert Lund
wiley   +1 more source

Markov Determinantal Point Process for Dynamic Random Sets

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley   +1 more source

Copula-based transferable models for synthetic population generation [PDF]

open access: green, 2023
Pascal Jutras-Dubé   +5 more
openalex   +1 more source

Multiple Changepoint Detection for Non‐Gaussian Time Series

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT This article combines methods from existing techniques to identify multiple changepoints in non‐Gaussian autocorrelated time series. A transformation is used to convert a Gaussian series into a non‐Gaussian series, enabling penalized likelihood methods to handle non‐Gaussian scenarios.
Robert Lund   +3 more
wiley   +1 more source

Maintaining tail dependence in data shuffling using t copula

open access: green, 2010
Mario Trottini   +2 more
openalex   +2 more sources

A Conditional Tail Expectation Type Risk Measure for Time Series

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT We consider the estimation of the conditional expectation 𝔼(Xh|X0>UX(1/p)), provided 𝔼|X0|<∞, at extreme levels, where (Xt)t∈ℤ$$ {\left({X}_t\right)}_{t\in \mathbb{Z}} $$ is a strictly stationary time series, UX$$ {U}_X $$ its tail quantile function, h$$ h $$ is a positive integer and p∈(0,1)$$ p\in \left(0,1\right) $$ is such that p→0$$ p\to ...
Yuri Goegebeur   +2 more
wiley   +1 more source

Comparación entre riesgos competitivos vía el estimador cópula-gráfico Comparison between Competing Risks via the Copula-Graphic Estimator

open access: yesRevista Colombiana de Estadística, 2011
En riesgos competitivos, el problema de identificabilidad asociado a la dependencia entre los modos de falla, se puede resolver utilizando el estimador cópula-gráfico que asume la forma de la cópula conocida.
SERGIO YÁÑEZ   +3 more
doaj  

Robust CDF‐Filtering of a Location Parameter

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania   +2 more
wiley   +1 more source

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