Results 101 to 110 of about 2,044,246 (250)
Heteroscedastic symmetrical linear models
We discuss in this paper heteroscedastic linear models with symmetrical errors. The symmetrical class includes all symmetrical continuous distributions such as normal, Student-t, power exponential, logistics I and II, contaminated normal, so on.
Galea, Manuel +2 more
core
Heteroscedastic kernel ridge regression
In this paper we extend a form of kernel ridge regression (KRR) for data characterised by a heteroscedastic (i.e. input dependent variance) Gaussian noise process, introduced in Foxall et al.
Talbot, Nicola L. C. +4 more
core +1 more source
Climate Risk and Real Estate Markets in the EU: Institutional Control Through Regulation
ABSTRACT Climate change is increasingly reshaping the economic foundations of asset markets, yet its implications for the estate sector remain unevenly understood, particularly when institutional and financial mechanisms mediate risk transmission. While a growing body of evidence links climate vulnerability to property valuation and market behaviour ...
Qiulin Yang +4 more
wiley +1 more source
Exact D-optimal Designs Experiments for Linear Model with Heteroscedastic Observations
SECTION 4 ECONOMETRIC MODELING AND FINANCIAL ...
openaire +1 more source
Comparison of some Bayesian heteroscedastic error models
Heteroscedastic error models, with variance of the error term as proportional to the square of its expectation, have been considered. The distribution of the error term is assumed to follow either Normal, Lognormal or Gamma distribution.
Surekha, K., Griffiths, W. E.
core +1 more source
ABSTRACT This study analyzes the relationship between sustainability reporting quality (SRQ) and earnings management (EM) in an emerging economy and investigates the moderating role of ethical leadership. Analyzing 531 firm‐year observations from mandatory reports (2022–2024), SRQ is measured via a 51‐indicator index, while EM is proxied by the ...
Taghred Mokhtar Sayed Moawad +2 more
wiley +1 more source
A note on self-similarity for discrete time series [PDF]
The purpose of this paper is to study the self-similar properties of discrete-time long memory processes. We apply our results to specific processes such as GARMA processes and GIGARCH processes, heteroscedastic models and the processes with switches and
Zhiping Lu, Dominique Guegan
core
Heteroscedastic Log-exponentiated Weibull Regression Model
We introduce a new class of heteroscedastic log-exponentiated Weibull (LEW) regression models. The class of regression models can be applied to censored data and be used more effectively in survival analysis.
Cordeiro G.M. +4 more
core +1 more source
ABSTRACT Eco‐labels and sustainability rating scales are widely used to communicate product sustainability, yet it remains unclear whether combining these signals enhances or undermines consumer responses. Drawing on signaling theory, this study examines how eco‐label familiarity and the presence of a sustainability rating scale jointly shape consumer ...
Sara Raubvogel +3 more
wiley +1 more source
ABSTRACT This study theorises and empirically tests performative purpose alignment theory (PPAT), which conceptualises corporate purpose as a performative artefact materialised through discursive and multimodal signals. To operationalise this, we introduced the SDG–Purpose Alignment Index (SPAI), a computational construct that quantifies the thematic ...
Augustine Okeke, Ifeanyi Ugbebor
wiley +1 more source

