Data Augmentation in the Bayesian Multivariate Probit Model [PDF]
This paper is concerned with the Bayesian estimation of a Multivariate Probit model. In particular, this paper provides an algorithm that obtains draws with low correlation much faster than a pure Gibbs sampling algorithm.
Roberto Leon Gonzalez
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Theory‐Guided Design of Non‐Precious Single‐Atom Catalyst for Electrocatalytic Chlorine Evolution
Advanced Functional Materials, EarlyView.To overcome the reliance on noble metals for the chlorine evolution reaction (CER), we designed a non‐precious single‐atom catalyst (SAC), NiN3O–O. It achieves a low overpotential of 75 mV, 95.8% Cl2 selectivity, and outperforms commercial dimensionally stable anodes (DSAs).
Kai Ma +9 more
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Note on neural network sampling for Bayesian inference of mixture processes [PDF]
In this paper we show some further experiments with neural network sampling,a class of sampling methods that make use of neural network approximationsto (posterior) densities, introduced by Hoogerheide et al. (2007).
Dijk, H.K. van, Hoogerheide, L.F.
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Advanced Functional Materials, EarlyView.It is elucidated that phase engineering of cobalt modulates the interfacial potential gradients of cobalt–carbon electrocatalysts, enhancing the intrinsic electrocatalytic performance. Modulating the dominant crystalline phase of cobalt from a hexagonal close‐packed to a face‐centered cubic enriches the electron density of carbon shells, thereby ...
Ji‐Oh Kim +13 more
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Shrinkage with shrunken shoulders: Gibbs sampling shrinkage model posteriors with guaranteed convergence rates. [PDF]
Bayesian Anal, 2023 Nishimura A, Suchard MA.
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, 2012 The Gibbs sampler is one of the most popular algorithms for inference in statistical models. In this thesis, we introduce a herding variant of this algorithm that is entirely deterministic. We demonstrate, with simple examples, that herded Gibbs exhibits better convergence behavior for approximating the marginal distributions than Gibbs sampling.
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Dual‐Ligand Metal‐Organic Frameworks via In Situ Amidoxime Engineering for Selective Ion Separation
Advanced Functional Materials, EarlyView.Inspired by microbial ion‐trapping mechanisms, a mild and universal strategy is developed to construct highly porous amidoxime‐functionalized MOFs. DFT calculations and molecular force measurements reveal that the dual‐ligand amidoxime configuration significantly strengthens Ga(III) affinity.
Zhifang Lv +9 more
wiley +1 more source
Prior-Preconditioned Conjugate Gradient Method for Accelerated Gibbs Sampling in "Large n, Large p" Bayesian Sparse Regression. [PDF]
J Am Stat Assoc, 2023 Nishimura A, Suchard MA.
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Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization
Advanced Functional Materials, EarlyView.Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan +9 more
wiley +1 more source
Measuring contagion with a Bayesian, time-varying coefficient model [PDF]
JEL Classification: C11, C15, F41, F42, G15Contagion, Gibbs sampling, Heteroskedasticity, Omitted variable bias, Time-varying coefficient ...
Ciccarelli, Matteo, Rebucci, Alessandro
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