Results 151 to 160 of about 109,915 (302)
What drives animal responses to high severity fire? The role of functional traits
Biological Reviews, EarlyView.ABSTRACT Fire regimes are changing worldwide, with increases in the frequency, extent, and severity of fires posing growing risks to biodiversity. Fire severity – the degree of habitat alteration following fire – strongly influences both immediate survival and long‐term recovery of fauna.
Grace A. Vielleux +3 more
wiley +1 more source
London Measure of Unplanned Pregnancy: guidance for its use as an outcome measure
Patient Related Outcome Measures, 2017 Jennifer A Hall,1 Geraldine Barrett,1 Andrew Copas,2 Judith Stephenson1 1Research Department of Reproductive Health, UCL Institute for Women’s Health, 2Department of Infection & Population Health, UCL Institute of Epidemiology and Health Care ...
Hall JA +3 more
doaj
Tackling Ordinal Regression Problem for Heterogeneous Data: Sparse and Deep Multi-Task Learning Approaches. [PDF]
Data Min Knowl Discov, 2021 Wang L, Zhu D.
europepmc +1 more source
Ordinal Regression by Extended Binary Classification
, 2008 We present a reduction framework from ordinal regression to binary classificationbased on extended examples. The framework consists of three steps: extracting extended examples from the original examples, learning a binary classifier on theextended ...
core
Drivers of Nature‐Related Investment Strategies Among Institutional Investors
Business Strategy and the Environment, EarlyView.ABSTRACT Institutional investors are increasingly responding to biodiversity loss through nature‐related investment strategies. Using survey data from 557 institutional investors, this study examines the drivers of strategy selection and how biodiversity risk is integrated across investor types, sizes, and regions.
Emma Olofsson
wiley +1 more source
The Influence of Corporate Sustainability Rating Methodology on Disclosure Behavior
Business Strategy and the Environment, EarlyView.ABSTRACT The rise of environmental, social, and governance (ESG) investing has illuminated long‐standing concerns over the ability for sustainability rating schemes to accurately convey sustainability‐related performance of firms. This study theorizes and empirically examines how a detailed and transparent rating methodology influences what information
Patrick J. Callery
wiley +1 more source
Assessing copula models for mixed continuous-ordinal variables
Dependence ModelingVine pair-copula constructions exist for a mix of continuous and ordinal variables. In some steps, this can involve estimating a bivariate copula for a pair of mixed continuous-ordinal variables.
Pan Shenyi, Joe Harry
doaj +1 more source
Support Vector Learning for Ordinal Regression A Risk Formulation for Ordinal Regression,”
, 1999 We investigate the problem of predicting variables of ordinal scale. This task is referred to as ordinal regression and is complementary to the standard machine learning tasks of classification and metric regression.
Ralf Herbrich +2 more
core
Business Strategy and the Environment, EarlyView.ABSTRACT We examine the effects of big data analytics (BDA) and artificial intelligence (AI) on corporate sustainability performance, specifically investigating the influence of regulatory pressure and top management support. Utilizing hierarchical regression analysis on questionnaire data from 220 Chinese manufacturing firms, we find that both BDA and
Mandella Osei‐Assibey Bonsu +2 more
wiley +1 more source
Board Gender Diversity and Environmental Credit Risk in Banking: A Global Study of Bank Governance
Business 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