Results 41 to 50 of about 30,783 (304)
Deterministic and stochastic trends in the Lee–Carter mortality model [PDF]
Applied Economics Letters, 2015 The Lee and Carter (1992) model assumes that the deterministic and stochastic time series dynamics load with identical weights when describing the development of age-specific mortality rates. Effectively this means that the main characteristics of the model simplify to a random walk model with age-specific drift components.
Callot, Laurent +2 more
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PLoS ONE, 2023 The common procedure for reconstructing growth and fertility rates from skeletal samples involves regressing a growth or fertility rate on the age-at-death ratio, an indicator that captures the proportion of children and juveniles in a skeletal sample ...
Patrik Galeta, Anna Pankowská
doaj +1 more source
Stochastic approximations in CBD mortality projection models
Journal of Computational and Applied Mathematics, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Samuel Gbari, Michel Denuit
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Estimation of Uncertainty in Mortality Projections Using State-Space Lee-Carter Model
Mathematics, 2020 The study develops alternatives of the classical Lee-Carter stochastic mortality model in assessment of uncertainty of mortality rates forecasts. We use the Lee-Carter model expressed as linear Gaussian state-space model or state-space model with ...
Rokas Gylys, Jonas Šiaulys
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Stochastic model for analysis of longitudinal data on aging and mortality [PDF]
Mathematical Biosciences, 2007 Aging-related changes in a human organism follow dynamic regularities, which contribute to the observed age patterns of incidence and mortality curves. An organism's 'optimal' (normal) physiological state changes with age, affecting the values of risks of disease and death. The resistance to stresses, as well as adaptive capacity, declines with age. An
Yashin, Anatoli I. +5 more
openaire +2 more sources
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Molecular Oncology, EarlyView.Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller +10 more
wiley +1 more source
Mortality Forecasting: How Far Back Should We Look in Time?
Risks, 2019 Extrapolative methods are one of the most commonly-adopted forecasting approaches in the literature on projecting future mortality rates. It can be argued that there are two types of mortality models using this approach.
Han Li, Colin O’Hare
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Chapter 1 Stochastic Epidemic Models
, 2019 This first chapter introduces some basic facts about stochastic epidemic models.We consider the case of a closed community, i.e. without influx of new susceptibles or mortality.
Pardoux, Etienne +3 more
core +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source