Results 121 to 130 of about 15,415 (240)

Forecasting Volatility of Commodity, Currency, and Stock Markets: Evidence From Markov‐Switching Multifractal Models

open access: yesJournal of Forecasting, Volume 45, Issue 6, Page 2905-2941, September 2026.
ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu   +3 more
wiley   +1 more source

From One Disaster to Another: Environmental Memory, Automobility, Suburbanisation and the Canterbury Earthquakes 2010–2011

open access: yesKōtuitui: New Zealand Journal of Social Sciences Online, Volume 21, Issue 3, September 2026.
Broadly taking up Amitav Ghosh's (2016) comment that when it comes to climate change ‘we seem to learn nothing; our historical imagination is very limited’, this article argues that disregarding environmental memory, and past knowledge to plan a more resilient future, the Canterbury Earthquakes 2010–2011 continued and enabled suburbanisation and an ...
Katie Pickles
wiley   +1 more source

Use of Bayesian Networks for the Forensic Evaluation of Gunshot Residue

open access: yesWIREs Forensic Science, Volume 8, Issue 3, September 2026.
Bayesian Networks can help evaluate gunshot residue given activity level propositions. This review discusses the different approaches that have been taken in the past and the challenges we are facing, with recommendations for future research. ABSTRACT Gunshot residue is a common type of trace considered in forensic science.
Yingxiu Guo   +2 more
wiley   +1 more source

The effects of illness perceptions, self‐efficacy and mental wellbeing on uptake and completion of a diabetes prevention programme in England

open access: yesBritish Journal of Health Psychology, Volume 31, Issue 3, September 2026.
Abstract Introduction Psychological factors, such as illness perceptions, self‐efficacy and mental wellbeing, can influence uptake and completion of health programmes. Whether these psychological factors predict uptake and completion of diabetes prevention programmes is not currently known.
Sonia Begum   +4 more
wiley   +1 more source

An analysis and projection of diabetes prevalence in East England region. [PDF]

open access: yesBMC Public Health
Xie Y   +5 more
europepmc   +1 more source

Catch Me If You Can: The Dynamic Nature of Bias in Machine Learning Applications

open access: yesInformation Systems Journal, Volume 36, Issue 5, Page 710-742, September 2026.
ABSTRACT Bias in machine learning (ML) applications represents systematic differences between expected and actual values of the predicted outputs, such that certain individuals or groups are systematically and disproportionately (dis)advantaged. This paper investigates the dynamic nature of bias in ML applications.
Monideepa Tarafdar, Irina Rets, Yang Hu
wiley   +1 more source

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