Model averaging estimation of panel data models with many instruments and boosting. [PDF]
Hao H, Huang B, Lee TH.
europepmc +1 more source
Optimizing photoexcitation conditions for time‐resolved X‐ray solution scattering experiments
Time‐resolved X‐ray solution scattering (TR‐XSS) is a powerful technique to visualize how proteins change their structure in real time after light activation. Selecting the right laser photoexcitation conditions—fluence, excitation geometry, and sample refresh rate—is critical to maximize the experimental signal while avoiding unwanted side effects ...
Matteo Levantino
wiley +1 more source
Evolution‐guided yeast complementation reveals functional differences in human PSPH variants
Ancient genomes can help guide which human genetic variants are tested experimentally. This study applies that idea to PSPH, a gene involved in serine biosynthesis, and uses high‐throughput yeast complementation to compare variant function. The findings reveal measurable differences among selected alleles and illustrate the value of evolution‐guided ...
Mauricio Campa‐Álvarez +6 more
wiley +1 more source
In silico and in vitro exploration of a tyrosinase for biocatalytic production of catechols
Tyrosinase from Ralstonia pseudosolanacearum is a promising biocatalyst for producing valuable catechols from monophenol substrates. This tyrosinase is uniquely suited to this due to its high monophenolase : diphenolase ratio. We combined in silico docking and in vivo kinetic characterisation of this tyrosinase with 11 industrially relevant monophenols,
James Britton +6 more
wiley +1 more source
Incidence of type 2 diabetes, cardiovascular disease and chronic kidney disease in patients with multiple sclerosis initiating disease-modifying therapies: Retrospective cohort study using a frequentist model averaging statistical framework. [PDF]
Brnabic AJM +8 more
europepmc +1 more source
Model Selection and Model Averaging [PDF]
info:eu-repo/semantics ...
Claeskens, Gerda, Jansen, Maarten
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Bayesian model averaging in R [PDF]
Bayesian model averaging has increasingly witnessed applications across an array of empirical contexts. However, the dearth of available statistical software which allows one to engage in a model averaging exercise is limited. It is common for consumers of these methods to develop their own code, which has obvious appeal.
Shahram Amini, Christopher F. Parmeter
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Model averaging with averaging covariance matrix
Economics Letters, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhao, Shangwei +2 more
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Consistency of BIC Model Averaging
Statistica Sinica, 2023Summary: BIC weighting is frequently applied to high-dimensional linear regressions when model averaging is used to address model selection uncertainty. It also plays a central role in model selection diagnostics. However, little research has been done on its consistency or weak consistency, which are crucial properties of model averaging methods.
Chen, Ze +3 more
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Ranking Model Averaging: Ranking Based on Model Averaging
INFORMS Journal on ComputingRanking problems are commonly encountered in practical applications, including order priority ranking, wine quality ranking, and piston slap noise performance ranking. The responses of these ranking applications are often considered as continuous responses, and there is uncertainty on which scoring function is used to model the responses.
Ziheng Feng +4 more
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