Stéphane Loisel

ORCID: 0000-0003-2176-8775
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About
Contact & Profiles
Research Areas
  • Insurance, Mortality, Demography, Risk Management
  • Insurance and Financial Risk Management
  • Probability and Risk Models
  • Risk and Portfolio Optimization
  • Global Health Care Issues
  • Financial Risk and Volatility Modeling
  • Risk Management in Financial Firms
  • Statistical Distribution Estimation and Applications
  • Aging, Elder Care, and Social Issues
  • Random Matrices and Applications
  • Bayesian Methods and Mixture Models
  • Stochastic processes and financial applications
  • Marine Biology and Ecology Research
  • Economic Sanctions and International Relations
  • Marine Ecology and Invasive Species
  • Psychoanalysis and Psychopathology Research
  • Marine and coastal plant biology
  • Banking stability, regulation, efficiency
  • Big Data and Business Intelligence
  • COVID-19 epidemiological studies
  • demographic modeling and climate adaptation
  • Coral and Marine Ecosystems Studies
  • Social Sciences and Governance
  • Health, Medicine and Society
  • Economic theories and models

Station Biologique de Roscoff
2018-2025

Sorbonne Université
2015-2025

Centre National de la Recherche Scientifique
2015-2025

Conservatoire National des Arts et Métiers
2024

Adaptation et Diversité en Milieu Marin
2021-2024

Université Claude Bernard Lyon 1
2014-2023

Institute for the Study of Regionalism, Federalism and Self-Government
2021

Laboratoire d'Ecogéochimie des Environnements Benthiques
2019

Centre Hospitalier Universitaire de Saint-Pierre
2017

Institut d'écologie et des sciences de l'environnement de Paris
2015

This article investigates the latest developments in longevity-risk modelling, and explores key risk management challenges for both financial insurance industries. The discusses definitions that are crucial enhancement of way longevity is understood, providing a global view practical issues longevity-linked pension products have evolved concurrently with steady increase life expectancy since s. In addition, frames recent forthcoming expected to action industry-wide changes as more effective...

10.1080/03461238.2010.511034 article EN Scandinavian Actuarial Journal 2010-09-14

Marine hard-bottom communities are undergoing severe change under the influence of multiple drivers, notably climate change, extraction natural resources, pollution and eutrophication, habitat degradation, invasive species. Monitoring marine biodiversity in such habitats is, however, challenging as it typically involves expensive, non-standardized, often destructive sampling methods that limit its scalability. Differences monitoring approaches furthermore hinders inter-comparison among...

10.3389/fmars.2020.572680 article EN cc-by Frontiers in Marine Science 2020-11-30

The lack of sexual attraction between individuals from different populations is a direct barrier to gene flow these populations. Here we focus on the evolution this class isolating mechanism, behavioural isolation, through empirical study two closely related species small marine isopods. males Jaera albifrons and J. praehirsuta similarly engage females in tactile courtship by brushing specific region female's back, but they do so with divergent sets specialised setae spines, female choice...

10.1101/2025.01.08.631900 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2025-01-10

Abstract. Since the beginning of industrial revolution, atmospheric carbon dioxide (CO2) concentrations have risen steadily and induced a decrease averaged surface ocean pH by 0.1 units, corresponding to an increase in acidity about 30 %. In addition warming, acidification poses tremendous challenge some marine organisms, especially calcifiers. The need for long-term oceanic observations temperature is key element assess vulnerability communities ecosystems these pressures. Nearshore...

10.5194/essd-16-1667-2024 article EN cc-by Earth system science data 2024-04-04

This paper examines the problem of ruin in classical compound binomial and Poisson risk models. Our primary purpose is to extend those models an exact formula derived by Picard & Lefèvre (1997 , Ph. Cl. (1997) . The probability finite time with discrete claim size distribution Scandinavian Actuarial Journal 1 58 – 69 .[Taylor Francis Online] [Google Scholar]) for (non-)ruin within time. First, a standard method based on ballot theorem argument Seal-type provides initial (known) that...

10.1080/03461230701766882 article EN Scandinavian Actuarial Journal 2007-12-14

A high proportion of the kelp Laminaria hyperborea production is exported from forests following seasonal storms or natural annual old blade loss. Transport drifting fragments can lead to temporary accumulations in benthic subtidal habitats. We investigated degradation processes L. a low sandy bottom ecosystem by setting up 6-month cage experiment simulate on seafloor. monitored temporal changes biomass, nutritional quality (C:N ratio), respiration, quantum efficiency photosystem II (F

10.1111/jpy.13041 article EN Journal of Phycology 2020-06-19

10.1016/j.ijforecast.2022.01.011 article EN publisher-specific-oa International Journal of Forecasting 2022-03-18

10.1007/s11009-009-9123-9 article EN Methodology And Computing In Applied Probability 2009-02-25

Abstract Accurately quantifying primary productivity of marine macrophytes is essential to further understanding coastal ecosystem functioning and will allow its inclusion within models. Traditional quantification carbon standing stock biomass accumulation only rough estimates net production whereas incubations that measure photosynthesis in the laboratory lack realism underestimate true photosynthetic rates. We developed situ photorespirometry methods estimate Laminaria hyperborea ,...

10.1002/lno.11955 article EN Limnology and Oceanography 2021-10-19

10.1016/j.insmatheco.2004.07.001 article EN Insurance Mathematics and Economics 2004-09-10

This paper is concerned with the class of distributions, continuous or discrete, whose shape monotone finite integer order t . A characterization presented as a mixture minimum independent uniform distributions. Then, comparison -monotone distributions made using s -convex stochastic orders. link also pointed out an alternative approach to monotonicity based on stationary-excess operator. Finally, property exploited reinforce classical Markov and Lyapunov inequalities. The results are...

10.1017/s0021900200009876 article EN Journal of Applied Probability 2013-09-01
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