Results 81 to 90 of about 2,044,246 (250)

Initializing the EM Algorithm for Univariate Gaussian, Multi-Component, Heteroscedastic Mixture Models by Dynamic Programming Partitions

, 2018
Setting initial values of parameters of mixture distributions estimated by using the EM recursive algorithm is very important to the overall quality of estimation.
Michal Marczyk, Piotr Widlak, Joanna Polanska, Andrzej Polanski, Monika Pietrowska   +4 more
core   +1 more source

Corporate Environmental Responsibility and Cost of Equity Capital: A Meta‐Analytical Review

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite extensive research on the relationship between corporate environmental responsibility (CER) and cost of equity capital (COEC), empirical evidence remains inconsistent. This study addresses these inconsistencies through a comprehensive meta‐analysis of 1139 effect sizes from 75 studies.
Robert Witte, Ewald Aschauer, Helmut Pernsteiner   +2 more
wiley   +1 more source

Climate Change Risk and Financial Stability: Implications for European Banking Institutions

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines whether climate change risk weakens banking‐system stability in the European Union and assesses how renewable energy adoption and energy‐related taxation moderate this relationship. Using panel data for 27 EU countries from 2012 to 2022 and applying fixed‐effects OLS, two‐stage least squares (2SLS), and robust generalized ...
Md Yousuf Ali
wiley   +1 more source

Supply Chain Network, ESG Scores and Financial Performance

Business Strategy and the Environment, EarlyView.
ABSTRACT This paper provides novel evidence on the role of supply chain networks in influencing firms' environmental, social and governance (ESG) scores and financial performance. Our analysis employs financial, board, ESG and supply chain data, resulting in an unbalanced panel of over 16,000 firm‐year observations from 3028 publicly traded US firms ...
Michail Filippidis, Renatas Kizys, Panagiotis Tzouvanas   +2 more
wiley   +1 more source

Decarbonization Boundary Choices and the Effectiveness of Stakeholder Engagement in Voluntary Climate Action Commitments: Evidence From Emerging Economies

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines how stakeholder engagement, conceptualized as a boundary‐spanning organizational capability, interacts with firms' decarbonization strategies, in relation to climate action commitments (CACs) in voluntary initiatives.
David Tobón Orozco, Jose Pla‐Barber
wiley   +1 more source

A Layered Information-Geometric Framework for Stable Estimation Under Missing and Heteroscedastic Observations

We investigate the problem of stable signal estimation under irregular observation conditions characterized by missing samples, heteroscedastic noise, and reportability constraints. In such environments, the primary engineering challenge arises from the severe curvature distortion of the objective landscape, which renders traditional Euclidean gradient
openaire   +1 more source

Heteroscedastic Qualitative Response Model

, 1990
A qualitative response model with heteroscedastic errors is studied. First, the heteroscedastic maximum likelihood estimator and its asymptotic properties are derived.
Moon, ChoonGeol
core  

Carbon Footprint of Bank Loans: Opportunities and Risk Implications in the Banking Industry

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines whether the carbon footprint of bank loan portfolios influences bank stability, profitability and cost efficiency and whether regulatory quality moderates these relationships. Using a balanced panel of 33 countries from 2005 to 2018, the analysis combines banking‐sector indicators from the World Bank Global Financial ...
Honglei Wang, Chen Lin, Kingsley Imandojemu, Omozele Lynda Showunmi, Romanus Osabohien, Felix Orole   +5 more
wiley   +1 more source

Heteroscedastic probabilistic linear discriminant analysis for manifold learning in video-based face recognition

, 2013
To recognize faces in video, face appearances have been widely modeled as piece-wise local linear models which linearly approximate the smooth yet non-linear low dimensional face appearance manifolds.
Ligang Zhang, Ivan Himawan, Himawan, Ivan, Dian Tjondronegoro, Moh Edi Wibowo, Zhang, Ligang, Wibowo, Moh Edi, Tjondronegoro, Dian W.   +7 more
core   +1 more source

Large-scale heteroscedastic regression via Gaussian process

, 2020
Heteroscedastic regression considering the varying noises among observations has many applications in the fields, such as machine learning and statistics.
Liu, Haitao, Ong, Yew-Soon, Cai, Jianfei
core   +1 more source