2023 - Research.com Ecology and Evolution in France Leader Award
Ecology, Econometrics, Mark and recapture, Population size and Population growth are his primary areas of study. His Ecology study frequently draws connections to adjacent fields such as Population model. His Econometrics research integrates issues from Statistics, Sample size determination, Bayesian probability and Markov chain Monte Carlo.
The study incorporates disciplines such as Breed, Inference, Goodness of fit, Breeding in the wild and Booby in addition to Mark and recapture. His Population size study incorporates themes from Sampling, Welfare economics and Individual heterogeneity. Olivier Gimenez interconnects Endangered species, Fecundity, Wildlife management, Animal ecology and Wildlife conservation in the investigation of issues within Population growth.
Olivier Gimenez mainly focuses on Ecology, Mark and recapture, Statistics, Econometrics and Population size. His biological study spans a wide range of topics, including Sampling and Population growth. Olivier Gimenez does research in Population growth, focusing on Vital rates specifically.
His research in Mark and recapture focuses on subjects like Inference, which are connected to Data mining. Bayesian probability, Bayesian inference and Frequentist inference are subfields of Statistics in which his conducts study. A large part of his Econometrics studies is devoted to Covariate.
Olivier Gimenez spends much of his time researching Ecology, Mark and recapture, Statistics, Occupancy and Abundance. His research in Predation, Species distribution, Range, Ungulate and Apex predator are components of Ecology. His work deals with themes such as Imperfect and Econometrics, which intersect with Mark and recapture.
His work on Frequentist inference and Fisher information as part of general Statistics research is often related to Limit cycle, Attractor and Data type, thus linking different fields of science. His Occupancy study also includes
Olivier Gimenez mainly focuses on Mark and recapture, Ecology, Individual heterogeneity, Estimation and Statistics. His study in Mark and recapture is interdisciplinary in nature, drawing from both Machine learning, Statistical model, Artificial intelligence and Econometrics. His study on Econometrics also encompasses disciplines like
His Ecology research is multidisciplinary, incorporating perspectives in Reproductive history and Complex system. His study focuses on the intersection of Individual heterogeneity and fields such as Reproduction with connections in the field of Affect and Mammal. The study incorporates disciplines such as Conservation status, Eurasian lynx and Robustness in addition to Statistics.
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U‐CARE: Utilities for performing goodness of fit tests and manipulating CApture–REcapture data
Assessing the impact of climate variation on survival in vertebrate populations
Biological Reviews (2008)
Bayesian Analysis for Population Ecology
A proposal for a goodness-of-fit test to the Arnason-Schwarz multisite capture-recapture model.
Roger Pradel;Claire M. A. Wintrebert;Olivier Gimenez.
REVIEW: Predictive ecology in a changing world
Journal of Applied Ecology (2015)
An assessment of integrated population models: bias, accuracy, and violation of the assumption of independence.
ESTIMATING SURVIVAL AND TEMPORARY EMIGRATION IN THE MULTISTATE CAPTURE–RECAPTURE FRAMEWORK
Use of Integrated Modeling to Enhance Estimates of Population Dynamics Obtained from Limited Data
Conservation Biology (2007)
State-space modelling of data on marked individuals
Ecological Modelling (2007)
M-SURGE: new software specifically designed for multistate capture-recapture models
Animal Biodiversity and Conservation (2004)
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