Christian P. Robert
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View article: Modelling above-ground biomass of Eucalyptus bosistoana F.Muell. and Eucalyptus globoidea Blakely
Modelling above-ground biomass of Eucalyptus bosistoana F.Muell. and Eucalyptus globoidea Blakely Open
Background: Estimation of forest biomass has become critical as afforestation has been proposed to sequester carbon from the atmosphere in order to mitigate climate change. New Zealand Dryland Forestry Innovation (NZDFI), in collaboration …
View article: 33 Controlling pruritus in Atopic Dermatitis via AhR pathway: a promising path using natural skin-derived microbial derivatives
33 Controlling pruritus in Atopic Dermatitis via AhR pathway: a promising path using natural skin-derived microbial derivatives Open
View article: Permutations accelerate Approximate Bayesian Computation
Permutations accelerate Approximate Bayesian Computation Open
Approximate Bayesian Computation (ABC) methods have become essential tools for performing inference when likelihood functions are intractable or computationally prohibitive. However, their scalability remains a major challenge in hierarchi…
View article: Analyse de la prise en charge de l’anaphylaxie à l’aide d’une ordonnance standardisée chez l’adulte au CHU de Québec–Université Laval
Analyse de la prise en charge de l’anaphylaxie à l’aide d’une ordonnance standardisée chez l’adulte au CHU de Québec–Université Laval Open
Objectif : Évaluer le rôle d’une ordonnance pharmaceutique individuelle standardisée dans le traitement médicamenteux de l’anaphylaxie chez l’adulte au CHU de Québec–Université Laval. Méthode : Une ordonnance pharmaceutique individuelle st…
View article: Reactions to Gender Norm Violations: Individual- and Peer-Level Analyses of Gender Atypicality and Social Exclusion in Adolescence
Reactions to Gender Norm Violations: Individual- and Peer-Level Analyses of Gender Atypicality and Social Exclusion in Adolescence Open
Adolescence is a period marked by the importance of peer-groups and conformity, and thus, deviation from social norms can be particularly sanctioned. In particular, gender norm violations in adolescence have been shown to be linked to seve…
View article: Monte Carlo Methods in Statistics
Monte Carlo Methods in Statistics Open
View article: Generalized Bayesian deep reinforcement learning
Generalized Bayesian deep reinforcement learning Open
Bayesian reinforcement learning (BRL) is a method that merges principles from Bayesian statistics and reinforcement learning to make optimal decisions in uncertain environments. As a model-based RL method, it has two key components: (1) in…
View article: Photocathode characterisation for robust PICOSEC Micromegas precise-timing detectors
Photocathode characterisation for robust PICOSEC Micromegas precise-timing detectors Open
The PICOSEC Micromegas detector is a~precise-timing gaseous detector based on a~Cherenkov radiator coupled with a~semi-transparent photocathode and a~Micromegas amplifying structure, targeting a~time resolution of tens of picoseconds for m…
View article: Simulating signed mixtures
Simulating signed mixtures Open
View article: Sampling using adaptive regenerative processes
Sampling using adaptive regenerative processes Open
Enriching Brownian motion with regenerations from a fixed regeneration distribution μ at a particular regeneration rate κ results in a Markov process that has a target distribution π as its invariant distribution. For the purpose of Monte …
View article: On integral priors for multiple comparison in Bayesian model selection
On integral priors for multiple comparison in Bayesian model selection Open
Noninformative priors constructed for estimation purposes are usually not appropriate for model selection and testing. The methodology of integral priors was developed to get prior distributions for Bayesian model selection when comparing …
View article: Insufficient Gibbs sampling
Insufficient Gibbs sampling Open
View article: A discussion of the paper "Safe testing" by Grünwald, de Heide, and Koolen
A discussion of the paper "Safe testing" by Grünwald, de Heide, and Koolen Open
This is a discussion of the paper "Safe testing" by Grünwald, de Heide, and Koolen, Read before The Royal Statistical Society at a meeting organized by the Research Section on Wednesday, 24 January, 2024
View article: The importance Markov chain
The importance Markov chain Open
View article: Living on the Edge: An Unified Approach to Antithetic Sampling
Living on the Edge: An Unified Approach to Antithetic Sampling Open
We identify recurrent ingredients in the antithetic sampling literature\nleading to a unified sampling framework. We introduce a new class of antithetic\nschemes that includes the most used antithetic proposals. This perspective\nenables t…
View article: Statistical Modeling with R: A Dual Frequentist and Bayesian Approach for Life Scientists
Statistical Modeling with R: A Dual Frequentist and Bayesian Approach for Life Scientists Open
View article: Generalized Poisson difference autoregressive processes
Generalized Poisson difference autoregressive processes Open
This paper introduces a novel stochastic process with signed integer values. Its autoregressive dynamics effectively captures persistence in conditional moments, rendering it a valuable feature for forecasting applications. The increments …
View article: Generalized Poisson difference autoregressive processes
Generalized Poisson difference autoregressive processes Open
View article: Asymptotics of approximate Bayesian computation when summary statistics converge at heterogeneous rates
Asymptotics of approximate Bayesian computation when summary statistics converge at heterogeneous rates Open
We consider the asymptotic properties of Approximate Bayesian Computation (ABC) for the realistic case of summary statistics with heterogeneous rates of convergence. We allow some statistics to converge faster than the ABC tolerance, other…
View article: A database of aircraft measurements of carbon monoxide (CO) with high temporal and spatial resolution during 2011–2021
A database of aircraft measurements of carbon monoxide (CO) with high temporal and spatial resolution during 2011–2021 Open
To understand tropospheric air pollution at regional and global scales, the SPIRIT (SPectromètre Infra-Rouge In situ Toute altitude) airborne instrument was developed and used on aircraft to measure volume mixing ratios of carbon monoxide …
View article: Insufficient Gibbs Sampling
Insufficient Gibbs Sampling Open
In some applied scenarios, the availability of complete data is restricted, often due to privacy concerns; only aggregated, robust and inefficient statistics derived from the data are made accessible. These robust statistics are not suffic…
View article: A special issue on Bayesian inference: challenges, perspectives and prospects
A special issue on Bayesian inference: challenges, perspectives and prospects Open
This is the introduction to the special issue of Phil Trans A in honour of Sir Adrian Smith, President of the Royal Society.
View article: Supplementary material to "A Database of Aircraft Measurements of Carbon Monoxide (CO) with High Temporal and Spatial Resolution during 2011–2021"
Supplementary material to "A Database of Aircraft Measurements of Carbon Monoxide (CO) with High Temporal and Spatial Resolution during 2011–2021" Open
View article: A Database of Aircraft Measurements of Carbon Monoxide (CO) with High Temporal and Spatial Resolution during 2011–2021
A Database of Aircraft Measurements of Carbon Monoxide (CO) with High Temporal and Spatial Resolution during 2011–2021 Open
To understand tropospheric air pollution at regional and global scales, the SPIRIT airborne instrument (SPectromètre Infra-Rouge In situ Toute altitude) was developed and used on aircraft to measure volume mixing ratios of carbon monoxide …
View article: Réseau R2D2 - Echange et partage de connaissances sur l’analyse de l’efficacité statistique et économique de la Sélection Génomique
Réseau R2D2 - Echange et partage de connaissances sur l’analyse de l’efficacité statistique et économique de la Sélection Génomique Open
View article: Computing Bayes: From Then ‘Til Now
Computing Bayes: From Then ‘Til Now Open
This paper takes the reader on a journey through the history of Bayesian computation, from the 18th century to the present day. Beginning with the one-dimensional integral first confronted by Bayes in 1763, we highlight the key contributio…
View article: Thirty-year survey of bibliometrics used in the research literature of pain: Analysis, evolution, and pitfalls
Thirty-year survey of bibliometrics used in the research literature of pain: Analysis, evolution, and pitfalls Open
During the last decades, the emergence of Bibliometrics and the progress in Pain research have led to a proliferation of bibliometric studies on the medical and scientific literature of pain (B/P). This study charts the evolution of the B/…
View article: SPECIES: a balloon-borne and airborne instrument coupling infrared lasers with Optical Feedback Cavity Enhanced Absorption Spectroscopy technique for atmospheric in-situ trace-gas measurements
SPECIES: a balloon-borne and airborne instrument coupling infrared lasers with Optical Feedback Cavity Enhanced Absorption Spectroscopy technique for atmospheric in-situ trace-gas measurements Open
The balloon-borne and airborne instrument SPECIES (SPECtromètre Infrarouge à lasErs in Situ) recently built in our laboratory will be described. This is a mid-infrared absorption spectrometer, including four channels by coupling …
View article: In-situ trace-gas measurements from the ground to the stratosphere by an OF-CEAS balloon-borne instrument
In-situ trace-gas measurements from the ground to the stratosphere by an OF-CEAS balloon-borne instrument Open
Monitoring climate change and stratospheric ozone budget requires accurate knowledge of the abundances of greenhouse gases and ozone depleting substances from the lower troposphere to the stratosphere. An infrared laser absorption spectrom…
View article: Approximating Bayes in the 21st Century
Approximating Bayes in the 21st Century Open
The 21st century has seen an enormous growth in the development and use of approximate Bayesian methods. Such methods produce computational solutions to certain `intractable' statistical problems that challenge exact methods like Markov ch…