Search Results - "Robert, Christian"

Approximate Bayesian computation with the Wasserstein distance by Bernton, Espen, Jacob, Pierre E., Gerber, Mathieu, Robert, Christian P.

“…A growing number of generative statistical models do not permit the numerical evaluation of their likelihood functions. Approximate Bayesian computation has…”
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ABC random forests for Bayesian parameter inference by Raynal, Louis, Marin, Jean-Michel, Pudlo, Pierre, Ribatet, Mathieu, Robert, Christian P, Estoup, Arnaud

“…Abstract Motivation Approximate Bayesian computation (ABC) has grown into a standard methodology that manages Bayesian inference for models associated with…”
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Model misspecification in approximate Bayesian computation: consequences and diagnostics by Frazier, David T., Robert, Christian P., Rousseau, Judith

“…Summary We analyse the behaviour of approximate Bayesian computation (ABC) when the model generating the simulated data differs from the actual data‐generating…”
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Ultra-high-resolution ion mobility spectrometry—current instrumentation, limitations, and future developments by Kirk, Ansgar T., Bohnhorst, Alexander, Raddatz, Christian-Robert, Allers, Maria, Zimmermann, Stefan

“…With recent advances in ionization sources and instrumentation, ion mobility spectrometers (IMS) have transformed from a detector for chemical warfare agents…”
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Abandon Statistical Significance by McShane, Blakeley B., Gal, David, Gelman, Andrew, Robert, Christian, Tackett, Jennifer L.

“…We discuss problems the null hypothesis significance testing (NHST) paradigm poses for replication and more broadly in the biomedical and social sciences as…”
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Reliable ABC model choice via random forests by Pudlo, Pierre, Marin, Jean-Michel, Estoup, Arnaud, Cornuet, Jean-Marie, Gautier, Mathieu, Robert, Christian P

“…Approximate Bayesian computation (ABC) methods provide an elaborate approach to Bayesian inference on complex models, including model choice. Both theoretical…”
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Rethinking the Effective Sample Size by Elvira, Víctor, Martino, Luca, Robert, Christian P.

“…Summary The effective sample size (ESS) is widely used in sample‐based simulation methods for assessing the quality of a Monte Carlo approximation of a given…”
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Accelerating MCMC algorithms by Robert, Christian P., Elvira, Víctor, Tawn, Nick, Wu, Changye

“…Markov chain Monte Carlo algorithms are used to simulate from complex statistical distributions by way of a local exploration of these distributions. This…”
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The expected demise of the Bayes factor by Robert, Christian P.

“…This note is a discussion commenting on the paper by Ly et al. on “Harold Jeffreys’s Default Bayes Factor Hypothesis Tests: Explanation, Extension, and…”
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Rao–Blackwellisation in the Markov Chain Monte Carlo Era by Robert, Christian P., Roberts, Gareth

“…Summary Rao–Blackwellisation is a notion often occurring in the MCMC literature, with possibly different meanings and connections with the original…”
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Stochastic derivative estimation for max-stable random fields by Koch, Erwan, Robert, Christian Y.

“…•We consider expected performances based on max-stable random fields.•We study their derivatives with respect to the spatial dependence parameters.•We focus on…”
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Jeffreys priors for mixture estimation: Properties and alternatives by Grazian, Clara, Robert, Christian P.

“…While Jeffreys priors usually are well-defined for the parameters of mixtures of distributions, they are not available in closed form. Furthermore, they often…”
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A Short History of Markov Chain Monte Carlo: Subjective Recollections from Incomplete Data by Robert, Christian, Casella, George

“…We attempt to trace the history and development of Markov chain Monte Carlo (MCMC) from its early inception in the late 1940s through its use today. We see how…”
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Editorial: Bayesian Computations in the 21st Century by Robert, Christian P., Prangle, Dennis

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Structural and functional correlates of smartphone addiction by Horvath, Juliane, Mundinger, Christina, Schmitgen, Mike M., Wolf, Nadine D., Sambataro, Fabio, Hirjak, Dusan, Kubera, Katharina M., Koenig, Julian, Christian Wolf, Robert

“…•We investigate brain function and structure in persons with “smartphone addiction” (SPA).•Persons with SPA showed lower gray matter volume in insula and…”
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Risk‐sharing rules and their properties, with applications to peer‐to‐peer insurance by Denuit, Michel, Dhaene, Jan, Robert, Christian Y.

“…This paper offers a systematic treatment of risk‐sharing rules for insurance losses, based on a list of relevant properties. A number of candidate risk‐sharing…”
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From risk sharing to pure premium for a large number of heterogeneous losses by Denuit, Michel, Robert, Christian Y.

“…This paper considers linear fair risk sharing rules and the conditional mean risk sharing rule for independent but heterogeneous losses that are gathered in an…”
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Bayesian computation: a summary of the current state, and samples backwards and forwards by Green, Peter J., Łatuszyński, Krzysztof, Pereyra, Marcelo, Robert, Christian P.

“…Recent decades have seen enormous improvements in computational inference for statistical models; there have been competitive continual enhancements in a wide…”
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Conditional mean risk sharing of losses at occurrence time in the compound Poisson surplus model by Denuit, Michel, Robert, Christian Y.

“…This paper proposes a new risk-sharing procedure, framed into the classical insurance surplus process. Compared to the standard setting where total losses are…”
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Coordinate sampler: a non-reversible Gibbs-like MCMC sampler by Wu, Changye, Robert, Christian P.

“…We derive a novel non-reversible, continuous-time Markov chain Monte Carlo sampler, called Coordinate Sampler, based on a piecewise deterministic Markov…”
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