Results 71 to 80 of about 4,516 (208)
Journal of Management Studies, EarlyView.Abstract Humanity – the virtue enabling meaningful human connection – is vital to the leadership we need to survive our polycrisis context. As a prerequisite to sustainable human community, the virtue of humanity is considered universal. It has been claimed as a ‘higher‐order virtue’, comprised of and enacted by – but irreducible to – a suite of ‘lower‐
Toby Newstead +3 more
wiley +1 more source
Detecting Structural Change Point in ARMA Models via Neural Network Regression and LSCUSUM Methods. [PDF]
Entropy (Basel), 2023 Ri XH, Chen Z, Liang Y.
europepmc +1 more source
The Cross and Conflict: How Do Christians Impact Protest Dynamics?
Journal for the Scientific Study of Religion, EarlyView.ABSTRACT This study examines the relationship between Christian actors, practices, and sacred sites in US protests and demonstrations, focusing on how political ideology shapes conflict outcomes. Using event‐level data from the Armed Conflict Location & Event Data Project (ACLED), the analysis explores 63,000 protest events from 2020 to 2024 ...
Joel Day
wiley +1 more source
The Annals of Statistics, 1975 In estimating a vector model, $\Sigma B(j)x(n-j)=\Sigma A(j)\epsilon(n-j), A(0)=I_r, E(\epsilon(m)\epsilon(n)')=\delta_{mn}K$ it is suggested that attention be confined to cases where $g(z) =\Sigma A(j)z^j, h(z)=\Sigma B(j)z^j$ have determinants with no zeroes inside the unit circle and have $I_r$ as greatest common left divisor and where $\1brack A(p)\
openaire +2 more sources
Multiple Changepoint Detection for Non‐Gaussian Time Series
Journal 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
Automated Bandwidth Selection for Inference in Linear Models With Time‐Varying Coefficients
Journal of Time Series Analysis, EarlyView.ABSTRACT The problem of selecting the smoothing parameter, or bandwidth, for kernel‐based estimators of time‐varying coefficients in linear models with possibly endogenous explanatory variables is considered. We examine automated bandwidth selection by means of cross‐validation, a nonparametric variant of Akaike's information criterion, and bootstrap ...
Charisios Grivas, Zacharias Psaradakis
wiley +1 more source
Annals of Saudi Medicine, 2015 BACKGROUND AND OBJECTIVES: The present study aimed to examine the dynamic relationship between climate factors and the incidence of cutaneous leishmaniasis (CL) in Biskra province, the largest focus of CL in Algeria, recording every year the highest ...
Schehrazad Selmane
doaj +1 more source
Online Detection of Forecast Model Inadequacies Using Forecast Errors
Journal of Time Series Analysis, EarlyView.ABSTRACT In many organizations, accurate forecasts are essential for making informed decisions in a variety of applications, from inventory management to staffing optimization. Whatever forecasting model is used, changes in the underlying process can lead to inaccurate forecasts, which will be damaging to decision‐making.
Thomas Grundy +2 more
wiley +1 more source
A Conditional Tail Expectation Type Risk Measure for Time Series
Journal 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
Journal of Time Series Analysis, EarlyView.ABSTRACT We propose a new formulation of the Vašičekmodel within the framework of functional data analysis. We treat observations (continuous‐time rates) within a suitably defined trading day as a single statistical object. We then consider a sequence of such objects, indexed by day.
Piotr Kokoszka +4 more
wiley +1 more source