Results 81 to 90 of about 3,645 (233)

Heteroscedastic symmetrical linear models

open access: yes
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  

Default Effect in ESG Investment: When a Recommendation Goes a Long Way

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Individual investors display a positive attitude toward ESG investments but typically fail to act upon it. We report results from a preregistered online experiment testing a default option on 1050 US investors examining the mechanisms driving the effectiveness of default options in promoting ESG investments.
Sai Sravanthi Ramadugula   +2 more
wiley   +1 more source

Do Governance Structures Drive Green Building Adoption? A Machine Learning Approach With Random Forests

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study examines the determinants of firms' propensity to adopt green buildings in the Euro Stoxx 300 and the S&P 500 indices, during 2012–2023. Using random forest binary classifiers, we assess the relative importance of financial, sectoral, geographic, and climate governance predictors and uncover nonlinear relationships often overlooked ...
María del Carmen Valls Martínez   +3 more
wiley   +1 more source

When Do Robots Go Green? Unveiling Mechanisms, Thresholds, and Spillovers of Industrial Robotics on Global Ecological Capacity

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This paper examines the relationship between industrial robotics adoption and ecological capacity, measured by biocapacity, using panel data from 50 countries over the period 2000–2024. We investigate the transmission mechanisms, non‐linearities, spatial spillovers, and heterogeneity characterizing this relationship.
Brahim Bergougui   +1 more
wiley   +1 more source

Filtering and Statistical Properties of Unimodal Maps Perturbed by Heteroscedastic Noises

open access: yes
We propose a theory of unimodal maps perturbed by an heteroscedastic Markov chain noise and experiencing another heteroscedastic noise due to uncertain observation.
Tanzi, Matteo   +3 more
core   +1 more source

Crowdsourcing Spatial Phenomena Using Trust-Based Heteroskedastic Gaussian Processes

open access: yes, 2013
Many crowdsourcing applications require spatial modelling of data to make sense of location-based observations provided by multiple users. In this context, We propose a new spatial function modelling approach to address the problem of fusing multiple ...
Jennings, N. R.   +6 more
core   +1 more source

Board Gender Diversity and Environmental Credit Risk in Banking: A Global Study of Bank Governance

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study investigates the relationship between board gender diversity and environmental credit risk in the global banking sector. Using a panel dataset of 345 publicly listed banks from 75 countries over the period 2018–2022, we find that greater female representation on bank boards is significantly associated with lower environmental credit
Kenza Mouti   +2 more
wiley   +1 more source

Innovation Pathways to Carbon Efficiency: Disentangling the Effects of AI, R&D, and Clean Energy Blessings on U.S. Environmental Sustainability

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The United States (U.S.) faces challenges in achieving its ambitious net‐zero carbon emissions target by 2050, with current emissions having fallen by less than 1% in 2024. Despite an investment of $500 billion in low‐carbon resources while holding the second‐largest green technology patent portfolio globally, it is further imperative to ...
Md Zubair Ahmad   +5 more
wiley   +1 more source

Nonparametric goodness-of-fit test for heteroscedastic regression models

open access: yes, 2002
For the heteroscedastic nonparametric regression model Yni = m(xni)+σ(xni)Є ni; i = 1; ...; n; we propose a new test procedure for testing that the regression function m is constant. The test statistic is modeled after the usual lack-of-fit statistic for
Wang, Lan   +2 more
core  

Influence diagnostics in heteroscedastic and/or autoregressive nonlinear elliptical models for correlated data

open access: yes, 2012
In this paper, we propose nonlinear elliptical models for correlated data with heteroscedastic and/or autoregressive structures. Our aim is to extend the models proposed by Russo et al.
Cysneiros, Francisco Jose A.   +7 more
core   +1 more source

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