gemlib.mcmc supplies composable kernel abstractions for Metropolis-within-Gibbs sampling via writer monads, allowing concise expression and reuse of complex MCMC algorithms for partially observed epidemic models.
Rosenthal
5 Pith papers cite this work, alongside 1,078 external citations. Polarity classification is still indexing.
5
Pith papers citing it
1,078
external citations · Pith
abstract
Peterzil and Starchenko have proved the following surprising generalization of Chow's theorem: A closed analytic subset of a complex algebraic variety that is definable in an o-minimal structure, is in fact an algebraic subset. In this paper, we prove a non-archimedean analogue of this result.
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use method 1representative citing papers
Neglecting linear GR effects biases f_NL at 1–3σ for Euclid/SPHEREx in SFB forecasts; multi-tracer improves Doppler detection and weakly breaks b_ϕ f_NL degeneracy.
Bayesian state-space modeling reveals that local spread and within-herd transmission each account for about half of S. Dublin force of infection on Öland, with average Rt near 1.
SFB basis applied to eBOSS DR16 samples identifies evidence (p<0.005 vs EZMocks) of stellar contamination systematics at large scales in QSOs and unknown systematics at plate/imaging scales in both LRG and QSO samples via fNL inconsistencies.
Bayesian nonparametric mixtures of Poisson and normal regressions using DP and PY priors are fitted via MCMC to predict claims frequency and severity, with an illustration on French motor insurance data.
citing papers explorer
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gemlib.mcmc: composable kernels for Metropolis-within-Gibbs sampling schemes
gemlib.mcmc supplies composable kernel abstractions for Metropolis-within-Gibbs sampling via writer monads, allowing concise expression and reuse of complex MCMC algorithms for partially observed epidemic models.
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Impact and measurability of linear relativistic effects in galaxy surveys
Neglecting linear GR effects biases f_NL at 1–3σ for Euclid/SPHEREx in SFB forecasts; multi-tracer improves Doppler detection and weakly breaks b_ϕ f_NL degeneracy.
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Bayesian modelling of herd-level infection dynamics in cattle: Local spread as the primary driver of Salmonella Dublin persistence on \"Oland
Bayesian state-space modeling reveals that local spread and within-herd transmission each account for about half of S. Dublin force of infection on Öland, with average Rt near 1.
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Demonstrating the Use of the Spherical Fourier Bessel Basis for Large Scale Clustering Systematics Discovery and Mitigation with eBOSS
SFB basis applied to eBOSS DR16 samples identifies evidence (p<0.005 vs EZMocks) of stellar contamination systematics at large scales in QSOs and unknown systematics at plate/imaging scales in both LRG and QSO samples via fNL inconsistencies.
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Modeling Insurance Claims using Bayesian Nonparametric Regression
Bayesian nonparametric mixtures of Poisson and normal regressions using DP and PY priors are fitted via MCMC to predict claims frequency and severity, with an illustration on French motor insurance data.